In this newsletter, you’ll find:

📧 The Email Tax Eating 10-20% Of Your Savings

📊 ChatGPT Ads Are Moving From Experiment to Platform This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

📧 The Email Tax Eating 10-20% Of Your Savings

Every direct email your team sends to a supplier outside the master agreement has a price tag. The procurement industry has a name for it: maverick spend. The Hackett Group puts the cost at 10-20% of targeted savings lost to off-contract purchases.

Order.co’s mid-market data is brutal; an average mid-sized company runs $322,000 annually through untracked spending.

Here’s the part nobody flags: even best-in-class organizations with full e-procurement systems only hit 69% contract compliance. The average company is closer to 50%. Half of your supplier transactions are happening outside the deal you negotiated.

The leak isn’t a person. It’s the inbox.

1. Audit your “approved supplier, wrong terms” gap first

Most maverick spend isn’t a rogue vendor. It’s an approved supplier used outside the negotiated contract terms, with different pricing, exceeded volumes, and skipped the approval workflow. Your ops lead emails the same supplier finance already has a deal with, but uses spot-buy pricing instead of the volume rate.

Pull 90 days of supplier invoices. Match line items against master agreement pricing. The delta is your monthly tax.

2. Kill the direct email lane to suppliers

Every email outside the system is a hole. Studies of compliance show maverick buying happens because employees are trying to get things done quickly, not because they’re malicious, which means policy memos won’t fix it. The fix is structural: route every supplier touchpoint through one system that auto-checks against the master agreement before the message goes out.

Accio Work runs this layer natively, agentic execution intercepts supplier requests, validates them against existing contracts, and flags rate or volume violations before a PO gets cut. The “I’ll just email them quickly” path stops being faster than the compliant path. You can try One Week Free.

3. Hunt your tail spend monthly, not quarterly

Tail spend, typically 20% of total spend scattered across 80% of suppliers, is where maverick purchases hide. Quarterly reviews catch it after the damage is done.

Monthly dashboards catch the pattern early: which department, which supplier, which category. Bringing tail spend under management saves 5-15% on its own.

Most P&Ls won’t show this leak because it doesn’t have a line item. It shows up as “freight came in higher than forecast” or “Q3 COGS drifted.” It’s never one big mistake. It’s six emails a month, sent fast, costing the deal you already won.

The supplier already gave you the price. The question is whether your team is actually using it.

📊 ChatGPT Ads Are Moving From Experiment to Platform This Week

Early CTR data shows ChatGPT ads outperforming traditional benchmarks while OpenAI simultaneously launched self-serve buying, CPC bidding, and pixel-based measurement, signaling a clear shift from test to platform.

The Breakdown:

Early CTRs Impress - SimilarWeb data shows ChatGPT ads generating strong CTRs versus display and podcast channels. Mother’s Day prompts trigger ads three times more than average due to high purchase intent signals.

Scale Remains Uncertain - Inventory is still limited, and early performance often looks better before wider rollout introduces competition. The novelty factor may be inflating engagement, and conversion quality will ultimately determine whether this channel is real.

Self-Serve Now Live - OpenAI launched a beta Ads Manager in the US, giving advertisers direct control over budgeting, bidding, and creative uploads. CPC bidding is now available alongside CPM so advertisers can optimize for actions, not just impressions.

Measurement Catches Up - Pixel-based tracking and a Conversions API are rolling out letting advertisers measure purchases, sign-ups, and leads. Data is aggregated with no access to individual conversations, reinforcing OpenAI’s privacy focus throughout.

ChatGPT ads are following a familiar platform playbook high-touch partner-led launch followed by self-serve tools that unlock scale. WPP, Publicis Groupe, Criteo, and Adobe are already in the partner network. Conversion data at volume is what will make or break this.

🏆 Ad of the Day

What Works:

1. The bottle on a plate is a category repositioning play. Honey typically supports other foods. Centering it solo on stacked dinnerware claims star ingredient status, not supporting role. That’s a direct shot at commodity perception.

2. Yellow monochrome environment removes visual competition entirely - Background, props, and product share the same color family. Nothing competes for attention. The only contrast is the dark bottle label, which is exactly where your eye lands.

3. Hands without a face remove demographic friction - No face means no age, no lifestyle, no “that’s not me” rejection. Any buyer can insert themselves into the scene without subconscious filtering.

Borrow staging from high-status cultural formats, press conferences, award shows, gallery exhibitions, and photograph your product inside them. Status by association is free and scales better than discount messaging.

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In this newsletter, you’ll find:

🫣Your Checkout Isn’t Losing Sales. It’s Losing Trust.

📱 Instagram and Google Ads Both Tested New Features This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

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🫣Your Checkout Isn’t Losing Sales. It’s Losing Trust.

Every friction point in your checkout isn’t just costing you a conversion. It’s making your customer retroactively question the product they’re about to receive.

A vague error message, a shipping estimate that contradicts the product page, a font that doesn’t match your store. None of these read as “UX problem” to the customer. They read as “this brand might not have its act together.” And a brand that doesn’t have its act together makes a product that might not work as promised.

Checkout inconsistency is a product quality signal.

Fix operational inconsistencies first

Not all checkout friction is equal. Treating it as such is where most optimization budgets get wasted.

Operational inconsistencies are the ones that damage product confidence. A shipping cost that contradicts your product page. A discount code that doesn’t apply after being promoted in an ad. A delivery timeline your confirmation email contradicts.

These don’t just cause abandonment. They trigger a specific response: if this brand can’t keep a simple promise at checkout, what promise are they making about the product itself?

Cosmetic inconsistencies slow completion. They don’t damage trust. Audit for operational breaks first.

Neutralize price anxiety at the product page, not checkout

The moment a customer hits an unexpected cost at checkout isn’t when price anxiety starts. It’s when it peaks.

The fix isn’t earlier transparency for its own sake. It’s placement. Shipping cost surfaced on the product page reads as helpful information. The same cost revealed at checkout reads as a hidden fee, even when the amount is identical.

Surface your total landed cost on the product page. Abandonment falls not because the cost changed, but because the surprise did.

Use the thank-you page before remorse sets in

Buyer’s remorse has a specific onset window. It begins roughly 20 to 30 minutes after purchase and peaks within 24 hours. The thank-you page is the only touchpoint you control inside that window.

A generic order confirmation accelerates remorse. It gives the customer nothing to feel good about. A page that validates the decision with a specific customer result, a human founder message, or a usage tip that makes the product feel real extends that window and directly cuts refund rates.

Tools like Checkout Index show you exactly where your store is leaking trust before you start guessing. No install, no demo call, just a score in 60 seconds.

Your checkout is either building or dismantling the trust your entire funnel worked to create. The operational breaks are costing you more than conversions. They’re costing you credibility.

📱 Instagram and Google Ads Both Tested New Features This Week

Instagram quietly surfaced a feature that lets users rewrite someone else’s Reels text, while Google Ads began testing a way to preview negative keyword impact before applying changes.

The Breakdown:

Google Ads Can Now Preview Negative Keywords - Google Ads is testing Preview Impact Estimates, letting advertisers see the projected effect of adding up to 10 negative keywords before making any changes to live campaigns.

Instagram Tests a Reels Text Swap Feature - A Help Center article briefly showed a Swap feature letting users replace text on someone else’s Reel with their own. Instagram has since removed the article, and a full release is unconfirmed.

It Conflicts With Instagram’s Own Rules - Instagram just announced penalties for aggregator accounts reposting without meaningful creative input. Swap appears to run directly counter to that update, though penalties are account-level, not post-level.

The Originality Rules Are Still Murky - Users can still repost others’ content if they add a unique spin and credit the creator. Instagram is using automation to detect violations but how it defines original versus derivative remains unclear.

Instagram’s Swap feature and its originality push feel contradictory; the platform may be figuring this out in public. Google’s negative keyword preview is a smaller update but a genuinely useful one for advertisers wanting to test changes without committing.

🏆 Ad of the Day

What Works:

1. Stage lighting as an authority signal. The spotlight hits the products from above like a keynote reveal. Your brain reads “important announcement” before your eyes read the label.

2. Ingredient props do the science-free health signaling. Seeds, berries, and botanicals arranged around the bottles communicate “natural and functional” without triggering supplement skepticism that clinical copy would.

3. Capsule-shaped packaging photographed straight on rewards recognition. The pill bottle silhouette primes pharmaceutical trust. The gummy softness of the product inside then relieves the “medicine” anxiety. Two opposing cues, one purchase trigger.

Borrow staging from high-status cultural formats, press conferences, award shows, gallery exhibitions, and photograph your product inside them. Status by association is free and scales better than discount messaging.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

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Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

💃 Everything SEO taught you about authority is wrong for AI search.

📊 X and Meta Are Both Rethinking How Advertising Works This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

💃 Everything SEO taught you about authority is wrong for AI search.

Backlinks built empires in Google. The more you had, the higher you ranked. Every SEO playbook for the last two decades started there.

AI search doesn’t care.

Brand search volume is the strongest predictor of AI citations with a 0.334 correlation, higher than any technical signal. Backlinks show weak or neutral correlation with LLM visibility. The signal that built your organic rankings is doing almost nothing for your AI retrieval probability.

Here’s what actually moves the needle.

Why brand search beats backlinks in AI systems

Backlinks tell Google a page is worth ranking. Brand searches tell AI a brand is worth trusting.

Fundamentally different signals, fundamentally different systems. When someone searches your brand directly, they create a behavioral signal LLMs interpret as entity validation.

High brand search volume builds stronger neural representations of your entity in AI training data, making you statistically more likely to surface when a related query gets asked.

A site with 200 referring domains and strong brand recall gets cited more often than a site with 2,000 referring domains and weak brand search volume. Domain authority doesn’t close that gap.

How Reddit actually builds brand search demand

Most brands treat Reddit as a distribution channel. Post content, get clicks, move on. Nothing measurable comes from it because that’s the wrong mechanism entirely.

What actually works: consistent participation in threads where your category is being actively evaluated.

Not threads about your brand, threads where buyers are comparing options and forming opinions before they ever run a branded search.

When someone reads a genuinely useful answer from your brand in a comparison thread, they don’t click through immediately.

They search your brand name later, on Google, on ChatGPT, on Perplexity, to validate what they read. That delayed branded search is the citation signal. The Reddit comment created brand search demand without a single backlink.

Find the five subreddits where your category gets discussed most. Track every thread where buyers are evaluating options. Contribute answers more specific and more useful than anything else in the thread.

Measure branded search volume in Search Console after 90 days before attributing movement to anything else.

The LinkedIn format driving AI citations

59% of LinkedIn citations come from individual creators, not company pages, with citation frequency doubling between November 2025 and February 2026.

The format getting extracted isn’t thought leadership, it’s practitioner content that takes a specific position on a mechanism most people misunderstand.

What gets cited: a counterintuitive claim in the first line, the mechanism explaining why conventional wisdom is wrong, and a concrete example with numbers.

AI systems extract this because it’s a standalone passage, claim, mechanism, proof point, that answers a query without needing surrounding context.

One post per week. One mechanism your audience gets wrong. Under 300 words with one concrete example. That compounds into citation authority faster than any volume play.

Track the signal, not the activity

Brand-building without measurement is just hope. SEMrush’s AI Visibility Toolkit tracks your citation movement across ChatGPT and Google AI Mode, connecting specific activity to actual shifts in retrieval probability rather than assuming it’s working. You can try it for free for 7 days.

Pull your branded search volume from Search Console right now. If it’s flat while overall organic traffic has grown, your content is attracting visitors who don’t remember you. That’s an entity signal problem.

Fix recall first. Citations follow familiarity, and familiarity gets built off your site, not on it.

📊 X and Meta Are Both Rethinking How Advertising Works This Week

Two very different moves landed this week, X overhauled its entire ad infrastructure from the ground up, while Meta quietly gave brands the freedom to manage their campaigns using whatever AI they already trust.

The Breakdown:

X’s Biggest Ad Update Ever - X announced a complete rebuild of its ad platform powered by xAI, built around simplicity, control, and performance. AI-driven retrieval and ranking systems now read user behavior in real time to serve more relevant ads.

What Musk Actually Wants It to Become - The long-term goal is full automation. Musk has said advertisers should eventually just upload an ad and let Grok handle everything else. This rebuild is the first real infrastructure step toward that vision.

Meta Opens Its Ad Data to Any AI - Meta launched AI connectors this week, letting brands pipe their Meta ads data directly into Claude, ChatGPT, or any external AI tool of their choice, no API setup, no coding, no developer credentials needed.

Why This Is a Bigger Deal Than It Sounds - Brands can now run campaign queries, pull performance reports, and generate product catalogs using whichever AI already fits their workflow.

X’s subscription business never delivered the revenue Musk hoped for, ads are now the priority, and this rebuild is the clearest signal yet. Meta’s move is quieter but potentially more impactful for agencies already deep into AI-assisted workflows.

🏆 Ad of the Day

What Works:

1. Absurdism as proof of product love. The exaggeration isn’t random; it quantifies devotion. Twelve cans in a suitcase say “this product is irreplaceable” without writing a single benefit claim.

2. The headline does zero selling, and that’s the point. “Too Good To Leave Behind” is a consumer confession, not a brand boast. It triggers self-recognition before skepticism kicks in.

3. Visual chaos engineered to reward attention. Clothes crammed around cans, a boarding pass hanging out, the more you look, the more details you find. Dwell time is manufactured through controlled disorder.

Build a creative around an exaggerated version of what your most loyal customers already do. Real behavior, dialed to 11, beats fabricated aspiration every time, and it converts loyalists into brand evangelists who share it unprompted.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

🩺Diagnose the Load-Bearing Emotion

📊 Cheap Clicks Are Back on Several Platforms, But Conversion Quality Is the Real Test

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🩺Diagnose the Load-Bearing Emotion

Every category has one emotion that’s actually load-bearing for conversion, and most brands are triggering a different one. Skincare brands lean on aspiration when the load-bearing emotion is shame relief.

Supplement brands lean on excitement when the load-bearing emotion is permission. Apparel brands lean on identity when the load-bearing emotion is in-group safety.

The mismatch costs you margin every day it goes undiagnosed, because emotional transportation only works when you’re transporting the buyer toward the feeling that actually unlocks the purchase.

Reverse-Engineer the Conversion Barrier Into an Emotional State: Your category has one dominant friction the buyer carries into the purchase decision. Name it specifically. For weight loss, it’s usually self-blame. For B2B SaaS, it’s usually the fear of looking incompetent to a peer.

For luxury, there is usually doubt about whether the buyer deserves it. The load-bearing emotion is whatever feeling dissolves that specific friction. Build creative around dissolving the barrier, not amplifying the aspiration. Aspiration sells the dream. Barrier dissolution sells the order.

Run a Two-Emotion Test Against Your Best Performer: Take your top-converting ad and identify which emotion it actually triggers. Then build two variants, each engineered to trigger a different emotion against the same product and offer. Run all three at equal spend.

The winner reveals which emotion your category actually pays for. Most brands have never run this test, which is why their best ad is usually a lucky accident they can’t reproduce.

Map Emotion to Funnel Stage, Not Just to Brand: Different emotions do different work at different funnel positions. Curiosity opens cold.

Validation closes warmly. Pride retains. Brands that pick one emotional tone and run it across the entire funnel leave conversions on the table at the stages where the emotion is mismatched to the buyer’s mental state.

Build a stage-by-stage emotion map, then audit which stage is currently underserved by your creative mix.

The 95% subconscious decision isn’t triggered by emotion in general. It’s triggered by the specific emotion your category has trained the buyer to associate with relief. Find that emotion, and the rest of the funnel cheapens.

📊 Cheap Clicks Are Back on Several Platforms, But Conversion Quality Is the Real Test

Last week saw click costs drop sharply across multiple platforms while CPMs climbed, creating an environment where surface-level efficiency looks attractive but underneath, conversion rates and returns are fragmenting in ways that demand closer scrutiny.

The Breakdown:

CPC - Meta, Axon, Microsoft, Snapchat, and TikTok all saw click costs fall while Google and YouTube pushed higher. Falling CPCs only compound positively when CvR holds, so run incrementality checks before treating cheaper clicks as a budget expansion signal.

CAC - Meta, Axon, Microsoft, and Pinterest improved acquisition costs while TikTok, Google, YouTube, and Snapchat worsened, where CAC improved despite falling CvR, isolate which audience segments are converting and double down there rather than scaling the full campaign.

ROAS - Meta posted +1.75% and Axon +5.00% while YouTube collapsed at -15.37% and Pinterest slipped -2.88%. YouTube’s back-to-back ROAS deterioration makes pausing new creative tests there the right call until the channel shows a floor.

Meta holds 64.74% share and Google sits at 26.12%, over 90% combined, while Axon at 2.05% is posting stronger ROAS and improving CAC than both. Shift a portion of incremental budget toward Axon this week, reduce YouTube exposure until returns stabilize, and treat TikTok’s share gains as a signal to monitor, not match.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad turns the product into a moral statement, not a snack. “The truth” reframes eating as a right vs wrong decision, making alternatives feel deceptive without naming them. You’re not choosing a bar, you’re choosing honesty.

The floating ingredients act as ingredient transparency theater, making the product feel unprocessed without explanation.

The claims at the bottom complete a clean-eating identity loop, not just benefits.

Reframe your category into a belief system. When buying feels like taking a side, decisions become instant.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

🙈The TikTok Shop Volume Game: Why 1,000 Videos Beats 10 Perfect Ones

📱 Meta’s New Report Says Brands Have Been Thinking About Audiences All Wrong

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

Together with Accio

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Powered by verified capabilities and deep integrations with business tools, it doesn’t just generate ideas; it takes action. Backed by Alibaba.com’s global supplier network and over 1B products, it seamlessly connects strategy to execution.

Stay in control while everything runs on autopilot.

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🙈The TikTok Shop Volume Game: Why 1,000 Videos Beats 10 Perfect Ones

Brands treat TikTok Shop like a curated creative channel. Tight briefs, polished content, brand-approved messaging. That’s the wrong game entirely.

Creative is 70% of why people buy. And on TikTok Shop, the only way to win the creative game is through volume, because you can’t brief your way to the best angle. You can only find it by seeding broadly and letting the algorithm tell you what converts.

Why 90% of TikTok Shop revenue is affiliate-driven

Nine out of ten dollars on TikTok Shop comes from independent creators, not your brand account, not your paid ads, not your optimized listing. This means your growth is almost entirely a function of how many creators are actively talking about your product at any given time. Everything else moves the remaining 10%.

The math that makes volume non-negotiable

At 30 videos per month with a 3% viral rate, you get less than one video with meaningful reach. At 300 videos, that same rate produces 9 viral videos compounding across different audiences simultaneously. At 1,000, you have 30 viral videos hitting the feed every month, branded search moves, DTC direct traffic spikes, Amazon BSR improves. Virality becomes a statistical output, not a lucky outcome.

Why raw beats polished, and what it means for your briefs

Raw, shaky, native content consistently outperforms polished creative because viewers in 2026 are biologically suspicious of perfection. AI-generated content has flooded every feed. Anything that looks produced reads as an ad before the first second ends.

The fix: stop writing prescriptive briefs. A short founder video and one example of strong content is all creators need. One films it in their car. Another leads with the scent. Another shows the result with zero context. Each frame reaches a viewer psychology no brief could have predicted.

Turn volume into a cross-platform asset

• Upload top-performing affiliate videos as-is into Meta with a CPA goal. If it spends, it’s acquiring customers across platforms for free.

• Track hook rate and hold rate on every video to identify winning angles faster than any focus group.

• Retarget viewers who watched but didn’t buy with a exclusive offer on Meta. You’re closing awareness you already created organically.

The operational wall

Seeding 200-300 creators monthly is where in-house teams stall. Sourcing, briefing, contracts, payments, and usage rights consume an entire headcount before a single video posts.

Insense removes that wall. 80,000+ vetted creators, brief templates and approvals in one place, automated contracts and payments, lifetime usage rights on every piece of content. You can book a free strategy call before May 15 and get a $200 platform credit toward your first campaign.

Volume is the creative testing infrastructure agencies charge $15,000 a month to build manually. Seed broadly, brief loosely, let the algorithm filter, put paid behind winners. The brands curating 10 perfect videos are competing on the wrong variable entirely.​​​​​​​​​​​​​​​​

📱 Meta’s New Report Says Brands Have Been Thinking About Audiences All Wrong

Meta surveyed nearly 10,000 people across eight markets and the findings challenge how most brands approach targeting on social platforms.

The Breakdown:

Life Stage Beats Age - People in key life moments like graduating or getting married show 26% points higher purchase intent regardless of age.

Digital Pebbling Is Rising - Digital pebbling is the act of sharing content with loved ones in DMs to stay connected. 90% of people do this across all generations, and 80% share Reels weekly.

Expertise Beats Fame - 81% rated expert knowledge as the top creator quality, ahead of humor, relatability, and fame, which came last. Honest reviews from knowledgeable creators consistently outperform paid promotional messaging.

Social Beats Search - 85% of Gen Z discover products on social versus 58% via search. AI chatbots in messaging platforms are also emerging as a key discovery surface for brands at the point of inspiration.

Stop targeting age brackets and start targeting life moments. Diversity in brand messaging matters too, consumers tune out repetition fast. The brands winning on Meta make content worth sharing, work with experts not celebrities, and show up where discovery actually happens.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad turns food into a sculptural desire object, elevating it beyond everyday consumption. The fork lift composition creates tension, making the dish feel indulgent yet controlled, like a perfect bite frozen in time. You’re not eating pasta, you’re experiencing craft.

The oversized burrata and gloss amplify sensory exaggeration, making taste feel richer than reality.

Minimal copy lets the visual carry the craving, reducing cognitive friction.

Turn your product into a “moment” instead of an item. When it feels like an experience, price sensitivity drops.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

✌️The Second Checkout: Why Your Post-Purchase Window Is Worth More Than Your First Sale

📱 Meta, Snapchat, and Pinterest All Dropped Ad Updates This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

✌️ The Second Checkout: Why Your Post-Purchase Window Is Worth More Than Your First Sale

Your post-purchase flow is leaking eight figures across the industry, and nobody’s treating it like the revenue event it actually is. The window between “order confirmed” and “package shipped” is the single warmest buying moment a customer will ever have with your brand.

They’ve already pulled out the card. The friction is gone. Yet 90% of brands fill this window with a thank-you note and a tracking link.

The brand’s compounding margin in 2026 runs three plays inside this window. Each one rewires a different stage of the buyer’s psychology.

The Pre-Ship Bundle Stack: Run a four-touch sequence before the package leaves the warehouse. Minute 15: founder plain text with a soft pairing offer, free shipping baked in.

Hour 1: a “what goes with this” email anchored to one complementary SKU.

Hour 2: Scarcity closes on the free shipping window.

Day 3: a usage-and-care email that reduces buyer’s remorse before the box arrives. This stack converts because the order is open, the warehouse hasn’t picked it, and adding a unit costs you nothing in fulfillment overhead. Expect 8 to 14% incremental AOV on this flow alone.

The Zero-CAC Cross-Sell

Once the package lands, the customer has lived with your product. Their next purchase carries zero acquisition cost. Push harder here than you would on cold traffic, because every dollar after the first sale is gross profit margin, not ad-funded.

For single-SKU brands, run a gifting angle instead of a cross-sell. The buyer becomes the referrer. One customer becomes 1.4.

The Review-to-Social Loop

Trigger the review request on day 7 post-delivery, then route satisfied reviewers into a UGC ask and a follow-up on socials. This single chain produces the three assets that drive the next acquisition cycle: trust signal, creative input, and owned audience growth. Most brands run these three flows separately. Stacked, they compound.

The first sale pays for the traffic. The next 90 days are where the actual business lives. If your post-purchase is a thank-you note, you’re handing margin back to Meta every month.

📱 Meta, Snapchat, and Pinterest All Dropped Ad Updates This Week

Meta tightened transparency rules for third-party platforms, Snapchat put branded AI chatbots directly into users’ inboxes, and Pinterest expanded into connected TV, three very different bets on where ad revenue comes from next.

The Breakdown:

Meta Cleans Up Third-Party Ad Costs - Meta announced that third-party ad platforms will now need to show advertisers exactly what they spend on Meta ads separately from the platform’s own fees. Full campaign reporting is part of the update, too.

Brand Accounts Get Clearer Structure - Meta also clarified that advertisers should run separate ad accounts per brand. High-volume advertisers are the exception, provided they correctly implement vendor_id and brand fields across their catalog and pixel integrations.

Snapchat Puts AI Chatbots in DMs - Snapchat launched sponsored AI chatbots that appear directly in users’ Snap inboxes. Users can talk to branded bots using suggested prompts. Sponsored Snaps already drive 22% more conversions than other formats on the platform.

Pinterest Goes to the TV Screen - Pinterest launched CTV ad placement via tvScientific, delivering 27% more outcomes per $100 and 65% more purchases when enriched with Pinterest’s high-intent signals from its existing audience data.

Pinterest’s CTV bet is backed by real numbers; LG saw a 73% jump in unique households reached. US CTV ad spend is heading past $45 billion by 2028. Snap’s gambling AI makes branded DMs feel less invasive than they did in 2016.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad wins through clarity stacking, making decision-making effortless. Every arrow and callout answers a buying objection before it forms, turning the visual into a guided pitch. You’re not exploring, you’re being led to certainty.

The clean blue background + fruit props create a freshness + lightness bias, positioning the drink as guilt-free.

“A cider you can savour” shifts it from casual drink to intentional choice.

Guide the eye like a sales conversation. When your ad answers objections visually, conversion friction drops instantly.

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In this newsletter, you’ll find:

🥲Stop burying your great pages

📊 YouTube, Google Ads, and AI Overviews All Had Updates Worth Knowing This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🥲Stop burying your great pages

AI is reading your content. It’s ignoring most of it.

Not because your content is bad. Because of where you put the good stuff.

44.2% of all ChatGPT citations come from the first 30% of a page. That’s not a rounding error. That’s AI telling you it made up its mind about your page before it got to the part you actually spent time writing.

The insight you buried in paragraph six? Never getting cited. The case study you built up to? Invisible. The stat you saved for the conclusion? Gone.

Here’s how to stop writing for humans who scroll and start writing for systems that extract.

Find the buried answers first

Pull your ten most important pages. For each one, find where the actual answer to the page’s core question first appears.

If it’s not in the first two sentences of the introduction and the first sentence of every H2, you’re already losing citations to a competitor whose content is structured worse but positioned better.

This isn’t about quality. It’s about the extraction order. AI doesn’t reward depth. It rewards what comes first.

Rebuild every section around one rule

Answer first. Context second. Everything else, cut or move.

Passages between 40 and 75 words get cited 3.1x more than longer ones and 2.4x more than shorter ones.  That’s your target.

One sentence that directly answers the heading’s implied question. Two to three sentences of supporting context. Hard stop.

No warm-up. No “in this section we’ll explore.” No building toward the point. The point is the first sentence, or it doesn’t count.

Go through every H2 on your highest-traffic pages and apply this test: can this section answer its question without anything before it? If the answer is no, rewrite the opening until it can.

Do the same thing to your page introductions

Most introductions are throat-clearing. Context, background, a hook, and then eventually the thing the reader came for.

AI extracts from the top 30% of your page. If your introduction is three paragraphs of setup before a single useful claim, that’s what gets pulled into AI answers. Rewrite every introduction to lead with your core argument in the first two sentences. The narrative can come after.

Make your data impossible to miss

Statistics increase AI visibility by 22%. Quotations increase it by 37%. Neither works if they’re buried.

Every data point and attributed claim belongs in the opening sentence of its passage, not three sentences in, where the extraction probability drops off.

Once restructured, track what’s actually getting picked up. SEMrush’s AI Visibility Toolkit shows exactly which pages are being retrieved across ChatGPT and Google AI Mode, so you can see whether the restructure is working instead of guessing. You can try it for free for 7 days.

The only thing left to do

Pick five pages. Find where each answer lives. Move it to the top of every section. That’s the whole fix. It takes an afternoon. The compounding effect runs for months.

📊 YouTube, Google Ads, and AI Overviews All Had Updates Worth Knowing This Week

YouTube is putting ads in new places, Demand Gen campaigns are stuck in review limbo, and new data shows AI Overview CTR decline may have bottomed out, here is what changed and what it means.

The Breakdown:

YouTube is Expanding Ad Placements - YouTube is rolling out side-by-side ads on live content, playing ads underneath livestreams while muting stream audio during breaks. Ads are also now appearing in the subscriptions feed, a placement that was previously largely ad-free.

Demand Gen Ads Are Stuck in Review - Advertisers are reporting week-long review delays for Demand Gen campaigns with no policy violations to explain the holdup. Search and Performance Max are unaffected. Google confirmed the issue with no fix timeline given.

AI Overview CTR Decline May Have Bottomed Out - Seer Interactive analyzed 5.47 million queries across 53 brands. Organic CTR on AIO searches hit a low of 1.3% in December 2025, then climbed to 2.4% by February 2026, an 85% jump in two months.

Getting Cited in AIOs Now Drives Real Traffic - Pages cited in AIOs see around 2.1% CTR. Pages not cited but with an AIO present drop to 0.9%. Comparison queries trigger AIOs 95% of the time, and question queries around 86%.

The clicks from AIO searches are not gone; they are concentrating on cited sources. For Demand Gen advertisers the review delay is a known Google issue, so nothing to fix on your end for now. YouTube subscriptions feed ads have no official explanation yet.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad uses hyper-literal product truth visualization to eliminate skepticism instantly. Cutting the pineapple right into the bottle collapses the gap between raw ingredient and final product, making processing feel nonexistent. You’re not buying juice, you’re buying fruit in its purest transferred form.

The black gloves subtly introduce a controlled, almost surgical precision, signaling cleanliness and intentionality without saying it.

“Not your average juice” reframes the category while the visual proves it.

Don’t just claim purity, visually remove every step between source and product. When the process disappears, trust spikes.

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In this newsletter, you’ll find:

🤫 CTV’s Best Kept Targeting Secret

📊 Google and YouTube Both Dropped Platform Updates This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🤫 CTV’s Best Kept Targeting Secret

Your competitor just spent $50,000 on a CTV ad. Their audience is primed, in-market, and thinking about the category. Then nothing happens. The brand that converts that audience isn’t the one that paid for the impression. It’s the one that shows up next.

This is the ACR conquesting play, and most brands don’t know it exists.

Automated Content Recognition is built into 80%+ of smart TVs sold in the last five years. It captures what’s actually playing on screen, including ads. That data flows back to platforms that let you target households exposed to specific competitor commercials. The household saw the ad. You can be next in their feed.

The catch: the window closes fast. Intent decays inside 72 hours.

Five plays that turn ACR into a performance lever:

Build a competitor exposure audience, not a category audience. Don’t target “people who watch cooking shows.”

Target “households exposed to HelloFresh, Blue Apron, or Factor in the last 7 days.” The intent signal is sharper because someone else already paid to qualify them.

Sequence your creative against their pitch. If a competitor leads with price, your follow-up ad leads with quality. If they lead with convenience, you lead with outcome. The ACR data tells you which competitor they saw, match the counter-message to that specific brand, not a generic positioning.

Front-load spend in the 0–72 hour window. Most brands spread budget evenly across a flight. Don’t. Spend 60% of your budget hitting these households within three days of competitor exposure. After day four, the conquest premium is gone and you’re paying CTV CPMs for cold traffic.

Run dayparting against their flight schedule. Competitor ads typically air heaviest in primetime.

Your conquest ads should hit the same households the next morning during news, then evening on weekend dayparts. You’re not competing for the same slot. You’re owning the recall window.

Close the loop with cross-device retargeting. ACR sees the TV. Your DSP sees the phone in the same household.

After CTV exposure, the conquest play continues on mobile and CTV-adjacent inventory for 14 days. Most brands stop at the first impression. The compounding happens in the follow-through.

This is where measurement becomes non-negotiable. You need placement-level visibility into what aired, when, and what it drove, otherwise conquest spend looks identical to brand spend on a dashboard.

Tatari ties every TV impression to actual site visits, signups, and revenue across linear, streaming, and direct publisher inventory, so the conquest signal isn’t buried in noise. You can book your demo here!

The recall window is your real CTV inventory.

Your competitor paid to make a household think about the category. The smartest move isn’t outbidding them. It’s outsmarting them inside the 72 hours their money is still working.

📊 Google and YouTube Both Dropped Platform Updates This Week

Google expanded Demand Gen with new commerce data and view-through optimization while YouTube announced it will limit push notifications for subscribers who have stopped engaging with a channel’s content.

The Breakdown:

Demand Gen Gets Retailer Data - Demand Gen is now integrated into Commerce Media Suite in Google Ads, letting advertisers tap into retailers’ first-party catalog and conversion data to reach high-intent shoppers across YouTube, Discover, and Gmail.

View-Through Conversions Now Optimized - Demand Gen campaigns can now optimize toward conversions that happen after an ad is viewed not just clicked. VTC optimization drives more conversions in less time and aligns with capabilities already available on other ad platforms.

YouTube Is Limiting Push Notifications - YouTube will stop sending push notifications to subscribers who have not engaged with a channel for approximately one month, even if they opted into all notifications. They will still receive updates in their YouTube app inbox just not push alerts.

Why This Is Actually Good for Creators - YouTube testing found fewer people turned off notifications entirely when push alerts were more relevant. Reducing overwhelm keeps more subscribers on the active list long term, which improves overall channel reach compared to mass notification fatigue.

Demand Gen already drives 18% higher conversions from new customers versus the paid media average, the Commerce Media Suite and VTC updates build on that. More Demand Gen announcements are expected at Google Marketing Live. For creators, the notification change only affects truly inactive subscribers, even occasional Shorts views keep someone on the active list.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad translates skincare into a physical repair metaphor your brain instantly understands. Cracked skin becomes literal broken ground, and Vaseline becomes the material that fixes it. No interpretation needed, the problem and solution click visually.

The tiny workers create a precision illusion, suggesting the product works at a micro-level, fixing details you can’t even see. That elevates perceived effectiveness without scientific explanation.

It turns moisture into active intervention, not passive care.

Convert abstract benefits into a physical visual analogy. When people can “see” the problem being fixed, belief happens instantly.

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In this newsletter, you’ll find:

🫤Why Your Creative Keeps Dying at Week Three

📊 Meta and YouTube Are Moving in Opposite Directions, And Budgets Haven’t Caught Up

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🫤Why Your Creative Keeps Dying at Week Three

Every ad account has a graveyard. Creatives that worked for nine days, then flatlined. Most teams blame fatigue and shoot new variants. Wrong diagnosis. Fatigue is a symptom.

The real problem is that the avatar underneath the ad was built as a static profile, not a stack of levers you can isolate and swap.

Here’s the shift: stop thinking of your avatar as a person. Start thinking of it as five independent variables that each break in predictable ways.

The five layers, and the specific lever each one controls:

Timeframe controls identity resonance. Past-self copy triggers nostalgia and regret. Future-self copy triggers aspiration and urgency. Present-self copy triggers recognition. Most brands default to present without realizing it, then wonder why their creative feels flat against competitors selling transformation.

Valence and intensity control scroll-stop. This isn’t which emotion you pick. It’s how hot you run it. A 4-out-of-10 frustration ad gets ignored next to a 9-out-of-10 frustration ad in the same feed, even with identical offers.

Angle controls conversion. One painpoint per ad. The moment you stack two angles, click-through holds but conversion collapses because the landing page can only close on one promise.

T-E-E-P phase controls CPA efficiency. Thinking, Evaluating, Engaging, Purchasing. Creative pitched one phase ahead of where your audience actually sits is the single largest silent tax on ad accounts right now.

Story framework controls hook retention. Before-after-bridge, problem-agitate-solve, hero-guide-plan. The framework decides whether someone watches past second three.

The part nobody teaches: run the layers as a rotation, not a combination.

Lock four variables, change one. That’s your test cell. When that cell fatigues, you now know exactly which lever broke, because only one moved. Most brands test by changing three things at once, which is why they can’t replicate their own winners.

Failure mode mapping, for when performance dips mid-flight:

• Rising CPA means T-E-E-P drift. The audience matured past your creative phase.

• Dying hooks mean story staleness. Same promise, new vehicle.

• Flat conversion after strong CTR means angle dilution. Cut to one.

• Zero clicks means valence is underpowered. Push intensity two notches.

• Plateau across all metrics means timeframe exhaustion. Switch tense.

The compounding advantage here is diagnostic speed. Teams using the stack diagnose a dip in one afternoon. Teams without it burn three weeks and a creative budget reshooting the wrong variable.

📊 Meta and YouTube Are Moving in Opposite Directions, And Budgets Haven’t Caught Up

Last week’s paid media environment split cleanly between platforms where costs rose and returns held, and platforms where costs fell but efficiency collapsed, a pattern that rewards active allocation decisions over set-and-forget budget structures.

The Breakdown:

CPC - Meta and AppLovin saw click costs rise sharply while Snapchat and TikTok dropped, where CPC falls alongside improving CVR and ROAS, treat it as a compressing window and test higher spend before the auction catches up.

CAC - Google, AppLovin, Pinterest, and Snapchat all improved while Meta, YouTube, and Microsoft worsened. Rising CAC on high-share platforms is a margin problem at scale, so cap spend and redirect incremental budget toward platforms where acquisition costs are actively falling.

ROAS - AppLovin led at +8.93%, and Snapchat posted +8.38% while YouTube collapsed at -9.60% and Meta slipped -1.37%. YouTube’s simultaneous CVR and ROAS deterioration makes it the week’s clearest pause candidate, not a scaling one.

Meta shed share to 64.70% while YouTube gained +7.93% and Microsoft jumped +8.45%, both gaining share while posting negative or weak returns signals budget inertia, not conviction, and AppLovin at 2.18% share with +8.93% ROAS and +11.94% CvR remains the most efficient underleveraged platform on the board this week.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad sells dominance, not nutrition. The explosion visual turns the product into a force, making consumption feel like power activation rather than supplementation.

“Set your own rules” taps into rebellion identity, positioning the user as someone who breaks norms, not follows routines. That’s far more motivating than fitness discipline.

The chaos around the product amplifies perceived intensity, making results feel aggressive and fast.

Tie your product to a personality, not a function. People buy who they want to become, not what the product does.

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In this newsletter, you’ll find:

📧Your Best Customers Get the Worst Emails

📊 Microsoft and OpenAI Both Made Major Advertising Moves This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

📧Your Best Customers Get the Worst Emails

The brands spending the most to acquire customers are putting the least thought into what happens after the purchase.

Post-purchase flows are treated like logistics. Confirmation, shipping update, review request. Done. But the 72 hours after a first order is the only window where a customer is actively looking for reasons to feel good about the decision they just made. If you’re not filling that window intentionally, doubt fills it instead.

The sequence that changes the math:

Lead with outcome, not product. Your hour-two email shouldn’t mention what they bought. It should describe who they’re becoming. A supplement buyer doesn’t want to be reminded they ordered capsules.

They want to feel like the version of themselves that already got the result. Write to that person.

Suppress the discount in email two. Most brands send a “complete your collection” offer at day three. This trains your best customers to wait for promotions before buying again.

Instead, send a friction-removal email. What’s the one thing that causes people to abandon the habit or the product? Address it directly. This email kills refunds and seeds the repurchase.

Let customers sell email three for you. Don’t write a testimonial block. Pull one real customer result, format it as a short story with a specific before and after, and make the reader feel like they’re reading about themselves.

Social proof only works when it’s specific enough to feel personal.

The brand problem underneath this

Scaling this across markets, product lines, or multiple internal teams is where consistency breaks. The email creative, campaign decks, and briefs circulating internally start looking like they came from different companies.

Templafy fixes this at the source. It works inside PowerPoint and locks brand rules, approved assets, and content guardrails into every AI-generated deck your team builds automatically. Adobe teams recovered 72% of their time. BDO saved $1.65M in a year. You can try Templafy for free.

A tight post-purchase sequence doesn’t just improve retention. It changes what a customer is worth before you’ve spent another dollar acquiring them.

That’s the lever most brands have and aren’t pulling.

📊 Microsoft and OpenAI Both Made Major Advertising Moves This Week

Microsoft launched AI-first ad tools built for the agentic web while OpenAI shifted ChatGPT from impression-based ads to cost-per-click, putting both platforms in direct competition with Google’s core business.

The Breakdown:

Microsoft Wants AI to Choose Your Brand - Microsoft launched AI Max for Search, Offer Highlights, and AI Visibility this week. The goal is simple, stop optimizing for clicks and start making sure AI systems select your brand when making decisions for users.

Audiences and Commerce Got Smarter Too - A new audience tool builds targeting segments from plain language descriptions. Universal Commerce Protocol structures product data for AI agents to transact on directly. Copilot Checkout lets users complete purchases inside Microsoft Copilot.

OpenAI Just Added Pay Per Click to ChatGPT - OpenAI is now testing cost-per-click ads inside ChatGPT with clicks priced between $3 and $5. Advertisers pay only when users click, officially moving ChatGPT from a branding surface to a performance channel.

ChatGPT Is Coming for Google’s Ad Budget - ChatGPT CPMs dropped from $60 to around $25 since launch. CPC ties revenue to measurable outcomes instead of impressions, positioning ChatGPT to compete directly for the performance marketing budgets that currently flow to Google Search.

The real test for ChatGPT ads is proving intent. Search works because users are actively looking for something. ChatGPT needs to show its conversational context converts at a comparable rate before advertisers commit serious budget.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad positions itself as a category shift, not a product entry. “Weight loss has a new leader” implies the old methods are outdated, making alternatives feel inferior without direct comparison.

The clinical setup creates a doctor-approved inevitability, where results feel expected, not hoped for. It removes effort from the equation entirely.

“Once a week” reframes discipline into low-maintenance compliance, making the transformation feel passive.

Don’t compete in the category. Declare a new standard and make everything else feel obsolete.

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In this newsletter, you’ll find:

🥴Your Brand Is Pausing Ads That Are Actually Working

📊 LinkedIn and Google Both Dropped AI Tools for Marketers This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🥴Your Brand Is Pausing Ads That Are Actually Working

Most media buyers have killed a YouTube or video campaign that was quietly driving revenue. The creative gets blamed. The audience gets blamed.

The channel gets written off. The real problem was never any of those things. It was the measurement.

Why Video Looks Like It’s Failing When It Isn’t

Last-click attribution is the default, and it destroys video performance on paper every time. A consumer watches your ad, doesn’t click, sees your product three days later on Instagram, searches your brand name, and converts.

Google gives video zero credit. Your dashboard confirms your suspicion that the campaign wasn’t working. You pause it. Your retargeting pool quietly shrinks, and your brand search volume dips two weeks later, and nobody connects the dots.

Before you pause any video campaign, check these first.

Six Things to Audit Before You Kill It

• View-through conversions. These are purchases made by people who saw your ad but never clicked. Most DTC accounts have this data sitting in Google Ads completely unread. It’s your first signal that the campaign is touching real buyers.
  

• UTM-tagged landing page behavior. Tag your video campaigns and check how those visitors behave on-site compared to paid social traffic. Time on page, scroll depth, pages per session. A viewer who spends four minutes on your product page after watching a 30-second ad is not a cold lead.
  

• Branded search lift. Google Ads has a Branded Searches metric that measures whether users search your brand within seven days of seeing your video ad. It works across Demand Gen and Video campaigns and often needs to be manually activated. Check if it’s live in your account.
  

• Video viewer remarketing audiences. Build an audience of everyone who watched 25% or more of your video ad and add it as an observation layer on your brand search campaigns. You’ll see exactly how many people watched, searched, and converted through a different touchpoint.
  

• Post-purchase survey data. Add a single “how did you hear about us” question to your order confirmation flow. When YouTube spend goes up, watch whether organic or direct attribution rises in the survey responses. That gap is your real influence number.
  

• Creative quality going into the campaign. Weak creative makes all of the above irrelevant. The brands getting measurable lift from video are running content that doesn’t feel like an ad in the first three seconds.

Insense connects you to 80,000+ vetted creators with lifetime usage rights included on every asset and first applications within 48 hours, so your video pipeline stays full without slowing down campaign velocity. You can book a free strategy call by May 8 and get a $200 platform credit towards your first campaign.

YouTube and video are demand creation channels. The customer journey they influence is longer, less linear, and invisible to last-click models. Measuring them like paid search is why every brand eventually concludes video doesn’t work, right before their best customers start citing it unprompted in post-purchase surveys.

The campaign probably isn’t broken. The measurement is.​​​​​​​​​​​​​​​​

📊 LinkedIn and Google Both Dropped AI Tools for Marketers This Week

LinkedIn launched a model comparison tool for Premium members while Google expanded its Ads Advisor with real-time policy reviews, security monitoring, and instant certifications.

The Breakdown:

LinkedIn lets you taste-test AI Models - LinkedIn launched Crosscheck for Premium members in the US, letting users submit a prompt and receive two anonymous responses from models, including OpenAI, Anthropic, Google, and Microsoft, then rate which one is better.

Leaderboards Show Which Models Win by Vertical - Crosscheck includes leaderboards showing top-performing models across different query types, giving professionals a clearer picture of which AI tool performs best for their specific use case and industry.

Google Ads Advisor Gets Proactive Troubleshooting - Google updated Ads Advisor with Real-Time Policy Reviews that flag violations as you build campaigns. It now proactively scans for fixes and in some cases resolves issues without any prompting.

Security and Certifications Now Automated - Ads Advisor monitors accounts around the clock, flags dormant users and suspicious domains, and handles Google certifications automatically, turning weeks of paperwork into instant approvals with a single click.

LinkedIn’s parent Microsoft has invested billions in OpenAI, raising questions about Crosscheck’s neutrality, though leaderboards appear diverse. On Google’s side, Ads Advisor will always ask for approval before acting and tracks a full change history so advertisers stay in control.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad sells belonging before benefit. “Caffeine Army” + “membership” reframes the product into an identity you join, not a supplement you buy. Once you’re “in,” the purchase feels like alignment, not evaluation.

“Your best version starts now” creates a personal upgrade moment, making the decision feel like a turning point rather than a routine buy.

The falling products mimic constant supply, reinforcing the subscription model visually.

Turn your product into a group or identity. People commit faster to who they want to be than what they want to buy.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

🥹 Meta Is Smarter Than Your Spreadsheet

🤖 ChatGPT Cites Only Half the Pages It Reads. Here Is Why.

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🥹 Meta Is Smarter Than Your Spreadsheet

Most media buyers kill their best ads. Not because they’re reckless. Because they’re using the wrong scorecard.

The logic seems airtight: Ad A has a $50 CPA, Ad B has a $40 CPA. Turn off Ad A, push budget to Ad B, and watch efficiency improve. Clean. Simple. Wrong.

Why the math breaks at scale

Every additional dollar pushed into an audience costs more than the last. You’re moving up weight classes. The fighter who dominates at 145lbs gets exposed at 155lbs. A $40 CPA at $10K spend would likely be a $60 CPA at $100K spend because you’ve exhausted the easy conversions and you’re now bidding premium CPMs to reach the edges of your audience.

If Meta had more confidence in the lower-CPA ad at scale, it would have sent more budget there. It didn’t. That’s the algorithm calculating, across billions of auction signals, that the cheaper ad cannot hold its efficiency at volume. Spend allocation reflects that. CPA in isolation doesn’t.

When spend signal breaks down

Spend isn’t a perfect signal. It fails in three specific scenarios:

• Creative fatigue: Meta keeps allocating to a decaying ad on historical confidence, not current performance. Flag it when CTR drops 30%+ week-over-week while spend holds steady.

• Structural issues: Budget caps, audience overlap, or campaign architecture that forces allocation rather than earns it.

• Seasonal auction shifts: External CPM pressure is inflating spend on ads that aren’t actually winning on efficiency.

When none of those conditions are present, spend is your most honest performance signal. The working rule: if an ad is pulling 3x or more spend than its sibling and the CPA gap is under 25%, the higher-CPA ad is almost certainly the stronger performer at scale.

What your job actually is

Your job isn’t to hit a clean number on every line item. It’s to improve the output of the whole account. Sometimes that means leaving a $50 CPA ad running while you build something that can beat it at the same weight class.

Stop grading individual ads. Start reading what the algorithm is telling you with its wallet.

🤖 ChatGPT Cites Only Half the Pages It Reads. Here Is Why.

Ahrefs ran a study of 1.4 million ChatGPT prompts to find out what separates a cited page from an ignored one, and the answer is not what most people assume.

The Breakdown:

Your Title Is the Gatekeeper - Before ChatGPT opens any page, it screens results using just the title, snippet, and URL. Pages that do not pass this filter never get read at all, let alone cited. Your content does not matter if the title does not clear the first cut.

Where Your Content Lives Matters More Than the Content Itself - 88% of all cited URLs come from the search index, with an 88.46% citation rate. News sits at 12%. YouTube at 0.51%. Academia at 0.40%. If your content does not rank in search, ChatGPT will not cite it, regardless of quality.

ChatGPT Reads Reddit. It Just Never Admits It - Reddit has over 16 million data points in the dataset but a 1.93% citation rate. ChatGPT pulls Reddit at scale to understand context and gauge consensus, then quietly credits a different source. 67.8% of all non-cited URLs are from Reddit.

Fanout Queries Are the Real Algorithm - ChatGPT breaks every user prompt into internal sub-questions called fanout queries. Cited pages scored 0.656 cosine similarity against these queries versus 0.484 for non-cited pages. Write titles that answer the questions behind the question.

The median cited page is 500 days old, freshness alone does not win. For news queries it does, with cited news pages averaging 200 days old versus 300 for non-cited. Natural language URL slugs also help, 89.78% citation rate versus 81.11% for opaque ones.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad turns benefits into a conversation, not a claim. The speech bubbles make each feature feel like it’s being “said” in response to the question, which mimics social validation instead of brand messaging. It feels like reasons coming from people, not a label.

“Why Koia?” positions the viewer as already considering it, creating a mid-decision entry point instead of cold discovery.

The upward hand angle subtly signals presentation and approval, like it’s being recommended.

Frame your benefits as answers in a conversation, not statements. It feels less like selling, more like confirming.

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Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

🫤 Your brand is showing up in AI answers. The way it’s being described is the actual problem.

🔍 Google Dropped Three Search and Ads Updates This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

Together with Insense

You don’t need another agency. You need a better system.

More DTC brands are pulling creator marketing in-house because agency models are too slow, too rigid, and too expensive to test at the speed that paid social demands.

Insense is the self-serve platform built for that transition.

Source from 80,000+ vetted creators, interactive brief templates and approvals in one place, automated contracts and payments, and lifetime usage rights included on every piece of content.

Trusted by over 3500 brands like Quince, Paysend, SmileSet, and Monster Energy,

No retainer. No middleman. Full visibility and control from day one. Brands save 40+ hours a month and get first creator applications within 48 hours.

P.S. If you need occasional assistance with influencer scouting, post-production, or platform management, they offer customizable and hybrid managed services.

Book a free strategy call by May 8 and get a $200 platform credit towards your first campaign.

🫤 Your brand is showing up in AI answers. The way it’s being described is the actual problem.

Brands chasing AI visibility are asking the wrong question. They want to know if they’re appearing. They should be asking how.

An AI system retrieving your brand and describing it as a secondary option, a budget alternative, or a tool with limitations is worse than not appearing at all. Sentiment in AI answers shapes purchase decisions before a single click happens.

Here’s how to monitor it and shift it in your favor.

Audit what AI is actually saying about you

Before changing anything, you need to know what you’re working with. Run your brand name through ChatGPT, Perplexity, and Google AI Mode across ten to fifteen prompts relevant to your category. Document the exact language used to describe you each time.

Look specifically for three things:

• Positioning language: Are you described as a leader, an alternative, a budget option, or a niche tool? Each carries a different conversion implication.

• Comparison context: Which competitors are you being mentioned alongside? Being retrieved next to a weaker competitor reinforces authority. Being retrieved as the cheaper version of a stronger one undermines it.

• Claim accuracy: Are the capabilities, use cases, or differentiators AI systems attribute to you actually accurate and current? Outdated or incorrect claims get retrieved and repeated at scale.

Identify the sources shaping your narrative

AI systems don’t form opinions independently. They pull from sources, review platforms, industry publications, comparison sites, and community forums. The sentiment in those sources becomes the sentiment in AI answers.

Map the top sources currently influencing your brand narrative:

• Pull the URLs being cited alongside your brand mentions in AI answers

• Identify which review platforms are being weighted most heavily

• Find the comparison articles ranking well in your category and audit how you’re positioned in each one

These sources are your actual leverage points. A single high-authority comparison article describing you unfavorably is doing more damage than a hundred unoptimized blog posts.

Shift the narrative at the source level

Once you know which sources are shaping AI sentiment, address them directly. Update outdated positioning on review platforms. Pitch corrections or updated profiles to industry publications citing stale information. Create content that directly addresses the comparison context where you’re being undervalued.

SEMrush’s AI Visibility Toolkit tracks your brand narrative across AI answers, showing share of voice, sentiment breakdown, and snapshots of exactly how each platform is describing you relative to competitors. You can try it free for 7 days. Check your narrative this week.

Run ten prompts. Document the language. Find the sources. One unfavorable comparison article removed or updated does more for your AI sentiment than months of new content published into a vacuum. Control the narrative at the source. The AI answers follow.

🔍 Google Dropped Three Search and Ads Updates This Week

Google is testing a cleaner conversion tracking setup, retiring Dynamic Search Ads in favor of AI Max, and rolling out a new spam penalty for back button hijacking.

The Breakdown:

Conversion Tracking Just Got Easier - Google Ads is testing a direct GTM integration that lets advertisers push conversion setups with one click instead of manually copying IDs and labels between platforms. Fewer steps, fewer errors, faster deployment.

Dynamic Search Ads Are Being Retired - Google is replacing DSA, automatically created assets, and campaign-level broad match with AI Max starting September. Voluntary upgrade tools are rolling out now; those who do not migrate will be automatically switched by the end of September.

AI Max Comes With a Performance Claim - Google reports an average 7% lift in conversions or conversion value at similar CPA/ROAS when using AI Max’s full feature set compared to search term matching alone.

Back Button Hijacking Now Carries a Penalty - Google officially added back button hijacking to its spam policy list with enforcement starting June 15th. Sites redirecting users away from expected navigation face manual spam actions or automated ranking demotions.

Three things advertisers should do now, migrate DSA campaigns before September or lose control of the setup, audit your site for back button manipulation before June 15th, and keep an eye on the GTM conversion integration when it rolls out fully.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad hijacks game logic, not beauty logic. The UNO-style “+4” reframes the bundle as a power move, not a purchase. You’re not buying products, you’re gaining an advantage, which makes the decision feel playful and rewarding instead of transactional.

“The only I will accept” taps into selective standards, signaling these are the few that make the cut, which elevates perceived quality without proof.

The layout turns products into a winning hand, not separate items.

Repackage your offer using familiar game mechanics. When buying feels like winning, resistance drops fast.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

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In this newsletter, you’ll find:

🤡 AI Is Visiting Your Site. It’s Just Not Finding Anything Worth Using.

📊 YouTube Dominated Every Efficiency Metric This Week, The Rest of the Map Fragmented

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

🤡 AI Is Visiting Your Site. It’s Just Not Finding Anything Worth Using.

Most teams think they have a visibility problem. They don’t. They have a timing problem. Your content exists. It just doesn’t exist at the exact moment AI decides whether to use you.

To a user, your site looks complete. To AI, it often looks half-empty.

Because it reads before JavaScript loads, anything delayed simply doesn’t count. So your product logic, proof, and differentiation sit in a layer that never gets evaluated.

You’re not losing because you’re worse. You’re losing because you’re invisible at first read.

1. Win the first 500ms

AI forms its understanding instantly. If your core message is not in raw HTML, you’re already skipped.

Implementation:

Hardcode one line that answers: who it’s for, what it solves, and why it’s different. No design dependency. Just text. You become legible before competitors load.

2. Write sentences that survive extraction

AI doesn’t cite pages. It lifts lines. If your content only works as a paragraph, it won’t be used. Replace vague statements with sharp, standalone truths.

Example: “Most tools don’t fail on features; they fail on workflow fit.”

Now your content can travel.

AirOps analyzed 16,000+ ChatGPT queries and found that pages that directly answer the query in the headline get cited 41% of the time, versus 29% for vague ones, with position #1 pages hitting 58% citation rates regardless of domain authority. You can read the Fan-Out Report here.

3. Collapse content layers

Stop separating “education” and “selling.” AI merges both.

Inside guides, insert decision triggers: “What works early usually breaks at scale. That’s where [your category] wins.”

This makes informational pages eligible for commercial queries.

4. Turn proof into text, not visuals

Badges and widgets don’t exist to AI. Translate proof into claims inside sentences.

Example: “Used by 10,000 teams to reduce onboarding time by 42%.”

Now your credibility is extractable.

5. Target what competitors avoid

Most content repeats the consensus. AI prefers content that adds missing context.

Find what everyone skips: Trade-offs. failures. edge cases. Build around that. That’s where citations come from.

You’re not writing to rank. You’re writing to be used in answers.

That means: Be visible instantly. Be understandable instantly. Be reusable instantly.

Because AI doesn’t explore your site. It scans, decides, and moves on. And if you’re not ready in that moment, you don’t just lose traffic. You disappear from the answer.

📊 YouTube Dominated Every Efficiency Metric This Week, The Rest of the Map Fragmented

Last week produced a sharp divergence between one platform firing on all cylinders and nearly everything else showing cracks in either cost, conversion, or return, making channel selection more consequential than budget size right now.

The Breakdown:

CPC - Meta, Google, AppLovin, and YouTube all saw click costs fall while TikTok, Pinterest, and Snapchat pushed higher, where CPCs dropped alongside improving CvR, increase bid pressure incrementally to capture the efficiency window before competition closes it.

CAC - YouTube, Pinterest, and Snapchat improved acquisition costs while Meta, Google, AppLovin, and Microsoft worsened, when CAC rises despite falling CPCs, the breakdown is post-click, so pressure-test the offer and page experience before assuming a media problem.

ROAS - YouTube led decisively at +17.70%, and TikTok posted +5.91% while AppLovin (-8.10%), Pinterest (-5.90%), and Meta (-3.71%) all declined, rotate creative energy and incremental budget toward YouTube now, while pulling back on platforms where both ROAS and CvR are declining together.

Meta grew share to 65.70% despite a -8.84% CvR collapse and -3.71% ROAS decline, while YouTube gained +9.08% share at +17.70% ROAS, capital is flowing toward the wrong concentration, and YouTube at 2.63% budget share with the strongest return profile on the board is the most urgent reallocation case this week.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad shifts the buyer from the kid to the parents’ responsibility loop. “Daily kids’ nutrition” frames the product as a baseline duty, not an optional upgrade, which makes inaction feel like neglect.

“1 easy scoop” removes the biggest hidden blocker, compliance, and kids resisting routines. It promises nutrition without the fight.

The benefits are organized like a checklist of parenting wins, creating a coverage illusion, like you’ve handled everything in one move.

Sell your product as the easiest way to fulfill a responsibility people already feel, not a new task they have to adopt.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

✉️Your Suppression List Is a Revenue List You Haven’t Read Yet

📊 Meta Just Made Its Two Most Important Ad Tools Easier to Use

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

✉️Your Suppression List Is a Revenue List You Haven’t Read Yet

Your ESP flags them. Your deliverability consultant confirms it. After 180 days of silence, the verdict is unanimous: suppress, sunset, move on. Protecting sender reputation is the orthodoxy, and nobody gets fired for following it.

But here’s what that logic quietly skips: email disengagement and brand disengagement are not the same event. One measures inbox behavior. The other measures a relationship. You’ve been measuring the wrong thing.

The Channel Collapsed. The Customer Didn’t.

The moment someone stops opening your emails, your entire MarTech stack reclassifies them as dead. Engagement scores crater. They fall out of flows. Suppression logic kicks in. The system has decided they left.

What the system can’t see: they moved to a different inbox. Their email habits changed. They hit inbox zero burnout and nuked their subscriptions. They still wear your brand. They still recommend you. They just stopped opening promotional emails from everyone, not just you.

This is the gap worth monetizing.

Three Strategies to Reactivate the “Unsuppressable”

1. Direct mail as a pattern interrupt. Physical mail lands in a zero-competition environment. A single postcard costs under $1.50 to produce and deliver. Segment your suppressed list by LTV quartile, pull the top 20%, and mail a hard offer with a trackable URL or unique discount code. One-week turnaround on revenue attribution. No A/B test needed to see the signal.

2. Paid retargeting against your suppressed segment. Upload your suppressed list as a custom audience on Meta. These are warm buyers who recognize your brand. Run creative that doesn’t look like an email, because they’ve unconsciously learned to ignore that format. Treat it as a new-customer acquisition funnel layered with purchase history logic. The CPM is identical to cold traffic; the conversion rate is not.

3. SMS re-permissioning sequence. If you collected mobile numbers at checkout, you have a second channel entirely unrelated to inbox behavior. A two-message SMS sequence, first a value drop, then a soft CTA, can reactivate buyers who’ve been dark for 12+ months. Compliance is straightforward. The response rate differential versus reactivation email is typically 6 to 10x.

The Real Cost of Suppression Orthodoxy

Every customer you suppress to protect deliverability is a customer your competitors can still reach through other channels. You’ve unilaterally ended the relationship because one channel went quiet.

The channel isn’t the customer.

Stop optimizing for inbox placement. Start auditing which channels your lapsed buyers still respond to, and rebuild presence there. The list you’re about to delete is the most qualified cold audience you’ll ever have.

Go find them where they actually are.

📊 Meta Just Made Its Two Most Important Ad Tools Easier to Use

Meta announced updates to its Pixel and Conversions API this week, using AI to automate the technical setup that has historically kept smaller businesses from getting the most out of their ad campaigns.

The Breakdown:

AI Now Handles Pixel Setup - Meta’s new AI-powered Pixel automatically pulls in product names, availability, and business details without manual coding, giving smaller businesses the same data advantages that larger teams with dedicated technical resources have always had.

Conversions API Goes One-Click - Meta simplified its Conversions API into a one-click setup requiring no technical expertise, no costs, and no ongoing maintenance. Businesses can now get the full server-side data pipeline running in minutes.

The Performance Gap Is Real - Businesses using both Meta Pixel and Conversions API together saw an average 17.8% lower cost per result compared to those running without Conversions API. That gap is now accessible to everyone.

For SMBs running Meta ads without a full technical team, these two updates remove the biggest friction points between basic ad setup and actually competitive targeting. The 17.8% cost per result improvement is the number worth paying attention to.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad shifts sleep from a mystery problem to a formula you can control. By listing ingredients vertically, it creates a sense that better sleep is simply the result of stacking the right inputs, not fixing your lifestyle.

Each ingredient is tied to a micro-outcome, building a modular belief system, like you’re assembling calm piece by piece.

The can format reframes sleep support into a night ritual drink, not a pill, which feels more natural and repeatable.

Break your outcome into controllable parts. When people feel they can engineer the result, they’re more likely to buy the solution.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

🫠 Atleast give that Ad a chance to win

📲 Reddit and TikTok Both Just Got Deeper Inside HubSpot

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

Together with AirOps

ChatGPT judges a page by its cover.

Pages with headlines that directly answer the query get cited 41% of the time. Loosely related headlines? 29%.

AirOps studied 16,851 ChatGPT queries and 353,799 pages across 10 industries to find what separates cited pages from ignored ones. A few findings that stood out to me:

• Retrieval rank is the top signal: A page at position 1 has a 58% chance of being cited. By position 10, that drops to 14%.

• Comprehensive guides don’t always win: Pages covering 26-50% of ChatGPT’s sub-queries get cited more often than pages covering 100%.

• Domain authority doesn’t predict citation: Always-cited pages actually have lower DA than never-cited ones. Content quality is what counts.

The full report covers 20+ signals with controlled comparisons across each.

Read the Fan-Out Report →

🫠 Atleast give that Ad a chance to win

The ad wasn’t bad. It just didn’t get enough time to stop being bad.

Nobody tracks that. Pull any account running 40 plus ads a year, and you’ll see the same pattern: most creatives get replaced inside two weeks, which is roughly the same window Meta uses to move an ad through initial audience testing.

The replacement happens right as the learning is finishing. The next creative starts from zero. The cycle repeats, and the account looks busy while quietly never compounding anything.

Your Account Has a Metabolism. You’re Ignoring It.

Every ad account has a natural decay rate, the pace at which creatives stop spending, whether you pulled them or Meta stopped allocating. That rate tells you whether your creative engine is healthy or just busy. The difference is compounding returns versus a treadmill.

Map your decay rate before you brief another creative.

Pull every ad from the last six to twelve months. Log the launch date and the date it stopped spending. Plot how many are still active at day 14, day 30, day 60, and day 90. That curve is your account’s metabolism, and every production decision should be calibrated against it, not gut feel.

If creatives are dying before day 14, you’re running a replacement cycle, not a creative strategy.

Meta needs time to move an ad through audience segments, test it across behavioral contexts, and build confidence in who it reaches. An ad pulled at day 10 never finished learning. The next ad starts from zero. The problem isn’t the creative. It’s the clock you’re running it on.

If creatives are holding past day 60 with efficiency intact, you’re compounding.

An ad that survives longer gets evaluated across richer behavioral sequences, more user contexts, more purchase signals, and more nuanced audience matching. The longer a creative holds, the more signal it accumulates. For UGC-led accounts, Insense connects you with vetted creators built for longevity. You can book a free strategy call by April 24 and get a $200 platform credit towards your first campaign.

Let decay rate drive production volume, not the other way around.

Stop asking how much creative you need. Start asking how long your current creative earns before it dies and whether you’re producing at a rate that matches or fights that reality. High volume against a short decay rate funds a treadmill. Moderate volume against a long decay rate means every asset earns its keep and production compounds instead of evaporating.

The healthiest creative accounts aren’t the busiest. They’re the ones where production rhythm and decay rate are aligned, new creatives entering at the pace the account can absorb, not the pace the team can produce.

Your decay rate is the most honest metric your creative strategy has. Run it before you plan next quarter’s production.

📲 Reddit and TikTok Both Just Got Deeper Inside HubSpot

Two major platforms expanded their HubSpot integrations this week, while Reddit also rolled out a new ad format globally. Here is what changed and what it means for marketers.

The Breakdown:

Reddit Is Now Inside HubSpot - Reddit launched a public beta integration with HubSpot, letting marketers publish to Reddit, track brand and competitor mentions with sentiment analysis, and engage with Reddit users directly inside HubSpot’s Social tool.

Reddit Reminder Ads Go Global - Reddit’s Reminder Ads are now available to all advertisers worldwide. Users tap a Remind Me CTA on an ad and receive two push notifications around an event, one 24 hours before and one when it goes live, plus an inbox message.

TikTok Is Now Fully Inside HubSpot - TikTok expanded its HubSpot partnership, marketers can now manage ads, build CRM-based audiences, track ROI, and handle organic content like publishing and reporting, all inside one unified workflow.

Reddit’s HubSpot integration is particularly well-timed, given Reddit’s growing presence in AI chatbot responses; brands tracking market perception now have a direct line into those conversations. HubSpot has 268,000+ customers, so both integrations could drive meaningful increases in advertiser activity on both platforms.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad collapses the entire skincare routine into a single-point dependency. “The only product I need” removes comparison entirely, making alternatives irrelevant before they’re even considered.

It also mimics self-talk, not advertising. The phrasing feels like an internal conclusion, which makes it more believable than a brand claim.

The overlays like “selling out fast” and guarantee create a pressure + safety combo, pushing action while cushioning risk.

Eliminate the need to compare. Position your product as the final decision, not one of many options.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

🧐Your Popup Is Converting. That’s Exactly the Problem.

🔍 Google Dropped Several Updates for SEOs and Advertisers This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

Together with Templafy

Your team is prompting AI decks. Your brand has no idea.

Every presentation your team generates without guardrails is a brand liability waiting to happen.

Templafy works inside PowerPoint. You set the brand rules, approved assets, and content guardrails once. Every AI-generated deck your team builds after that follows them automatically.

• Brand rules are enforced on every AI-generated deck

• Client-ready presentations that are on-message by default

• 4M+ users at Adobe, KPMG, and Pandora are already running on it

BDO saved $1.65M in a year. Adobe teams got back 72% of their time. Your brand shows up right, every time, without you having to police it.

Try Templafy for free

🧐Your Popup Is Converting. That’s Exactly the Problem.

Your opt-in rate looks healthy. Your 10-minute conversion window is about to tell you why that’s bad news.

A cold visitor doesn’t engage with a pop-up before they’ve decided whether they trust the brand or understand the product. Intent comes before discount-seeking. So when the majority of your email captures convert within 10 minutes of signing up, your pop-up isn’t creating purchase intent. It’s intercepting it. Those visitors were already going to buy.

Your opt-in rate is measuring interception efficiency, not acquisition efficiency. Two completely different things, and only one of them actually grows your customer base.

Five Strategies Nobody Is Running

1. Gate your popup behind scroll depth, not time. Replace time-delay triggers with a 65% scroll depth threshold. A visitor who has read two-thirds of your product page has formed an opinion. That’s the first moment a capture attempt is logically justified. Entry popups collect people who haven’t decided anything yet, scroll-gated popups collect people who almost have.

2. Split your list by time-to-conversion and treat them as different audiences. Pull every email capture from the last 90 days and filter by how quickly they converted after signup. Captures converting inside 10 minutes are warm traffic, returners, existing customers, high-intent arrivals.

Captures that didn’t convert within 24 hours are your actual cold acquisition list. They need completely different messaging, different cadence, and different offers. Running the same welcome sequence across both cohorts is why your open rates look fine, but your revenue per subscriber doesn’t.

3. Run a no-discount capture test for 30 days. Replace the percentage-off offer with a value-forward hook, early access, a buying guide, or a product quiz result. Measure list quality by 30-day revenue per subscriber, not opt-in rate.

Discount captures inflate the list with deal-seekers. Value captures attract undecided visitors who need information to convert, a fundamentally more profitable cohort to own.

4. Use exit-intent timing exclusively for discount delivery. A visitor who has browsed, evaluated, and is leaving has formed a price opinion. That’s the only moment a discount offer is logically positioned; it’s removing a specific barrier that already exists. Entry discounts create a barrier that wasn’t there: now the visitor won’t buy without one.

5. Build a separate automation track for 24-hour non-converters. This is where platforms like Omnisend change the equation, letting you segment captures by conversion behavior automatically and trigger distinct sequences for cold subscribers without manual list management.

A visitor who didn’t convert in 24 hours isn’t lost. They’re unconvinced. That requires a different sequence entirely, not the same welcome flow on a longer delay. You can try Omnisend for free today!

Your pop-up’s best numbers are hiding its worst problem. The 10-minute window isn’t a metric to celebrate. It’s a mirror.

🔍 Google Dropped Several Updates for SEOs and Advertisers This Week

From clearing up a long-standing SEO myth to retiring a key API, Google had a busy week across search and ads. Here is everything that matters.

The Breakdown:

No Such Thing as Link Cooties - Google’s John Mueller confirmed that sites with link penalties do not pass negative signals through their outbound links. Google simply ignores low-quality links entirely; they neither pass value nor harm the sites they point to.

Merchant API Replaces Content API by August - Google Ads scripts will support the new Merchant API from April 22nd, with the Content API for Shopping retiring on August 18th. The new API adds generative AI tools, modular architecture, and real-time notifications; migration is not optional.

Enhanced Conversions Getting a Single Toggle - Google Ads is merging enhanced conversions for web and leads into one unified feature with a single on/off switch from June 2026. Advertisers can now send data through multiple sources simultaneously, tags, Data Manager, and API, without choosing one method.

Your Mobile Pages Are Too Heavy - Average mobile page weight has grown from 845KB in 2015 to 2.3MB today, three times heavier than a decade ago. Slower pages mean fewer conversions; trimming page weight is one of the most straightforward performance wins available.

The Merchant API migration deadline is August 18th; that is the most time-sensitive update here. Enhanced conversions are a set-and-forget win once live. And if your mobile pages are still carrying excess weight, that is worth fixing before it starts showing up in your numbers.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad disguises itself as a receipt, not an ad, which subconsciously signals that this has already been bought and validated. You’re not discovering it, you’re seeing proof of a purchase. That shifts you from evaluation to imitation.

“Self care must-haves” frames the bundle as a category standard, not a choice, implying these are the baseline products you should already own.

The barcode and layout create a retail realism effect, making it feel tangible and already circulating. Make your ad look like evidence of purchase, not promotion. People trust what feels already chosen.

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In this newsletter, you’ll find:

😮What Six Months of Bad Structure Does to a Media Account

📱 Facebook, Instagram, and Meta All Had Updates Worth Knowing This Week

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

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😮What Six Months of Bad Structure Does to a Media Account

Most Meta audits find the same problems. Audience overlap. Broken tracking. Wrong campaign objectives. The fixes are documented everywhere.

What isn’t documented is what those problems look like after six months of compounding inside a scaling account, and why fixing them at that stage produces a performance drop that gets blamed on the marketer who finally caught it.

This is the problem in-house performance marketers inherit and rarely have language for. Algorithmic debt: the silent accumulation of bad training data inside an account that’s been structurally broken while the budget kept growing.

Three Places Algorithmic Debt Builds Fastest

1. Audience overlap left unresolved past 60 days. An overlap above 29% between your top prospecting audiences means you’ve been splitting the same people across multiple ad sets, paying a premium for every impression while Meta’s model learns that your customer looks like everyone. The longer this runs, the more embedded that flawed model becomes.

Fix: audit overlap monthly, consolidate audiences above the threshold, and rebuild exclusion logic from scratch on any account older than 90 days. Don’t assume previous exclusions are still correctly structured; check them.

2. Learning-limited ad sets that kept spending. An ad set stuck in learning for the past six days isn’t optimizing, it’s guessing. Every rupee spent in that state deposits bad signal into the algorithm’s understanding of your customer. At month one, this is a minor inefficiency. At month six, it’s a corrupted baseline.

Fix: Set a hard rule, any ad set in learning limited to the past six days gets paused, consolidated, or rebuilt with a broader audience threshold. Never let it keep spending, hoping it exits on its own.

3. Platform ROAS is growing while blended MER drifts. This is the number that exposes everything. Pull 90 days of data and compare platform ROAS against blended MER, total revenue divided by total spend across all channels. A widening gap between the two means the dashboard is taking credit for organic and repeat purchases that were happening anyway. The account looks like it’s performing while the structural damage quietly inflates costs underneath.

Fix: Make blended MER your primary reporting metric internally. Platform ROAS stays on the dashboard but stops being the number you defend in Monday meetings.

Why the Fix Looks Like a Problem

Here’s what nobody tells you about correcting a structurally broken account: the first two to three weeks after fixing overlap, exclusions, and learning-limited ad sets will show a performance dip before improvement arrives.

The algorithm needs time to relearn on a clean signal. To anyone watching the dashboard without context, that dip looks like the fix caused the damage.

Document everything before you start. Timestamp the structural changes. Build a simple before/after view of blended MER, not platform ROAS. That’s the record that protects your credibility while the account rebuilds, and the clearest way to show leadership that the previous numbers weren’t real to begin with.

Structure first. Scale second. The accounts that compound cleanly are the ones that got the foundation right before the budget grew.

📱 Facebook, Instagram, and Meta All Had Updates Worth Knowing This Week

From engagement tactics on Facebook to comment editing on Instagram and Meta’s push into proprietary AI, here is everything that dropped across the family of apps this week.

The Breakdown:

Stories Might Become a Discovery Surface - Instagram is testing a dedicated Stories tab with discovery carousels, highlights, and expiring content. Still in testing and not live yet, but if it rolls out, it could make Stories a meaningful visibility surface beyond just connections.

Replying to Comments Pays Off - A Buffer study of over one million Facebook posts found that replying to comments delivers a 9.5% lift in reactions. Small number, big implication, the algorithm rewards engagement patterns, and the lift compounds over time.

Instagram Now Lets You Edit Comments - Users can now edit any comment within 15 minutes of posting, with no limit on revisions inside that window. Text-only edits, and other users will see the comment was changed, but not what it said before.

Muse Spark Raises Revenue Questions - Meta launched Muse Spark, its first major AI model in over a year, and unlike Llama, it is proprietary. The company is pointing it squarely at better ad targeting and creative tools across Facebook, Instagram, and WhatsApp, with paid API access also on the table.

Meta’s AI competitors have built real enterprise traction while Meta still runs almost entirely on ad revenue. Muse Spark needs to prove it can both compete technically and open new revenue streams. Right now, those are still open questions.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad reduces choice anxiety by pre-curating the decision space. “Top three” signals that the filtering is already done, so you’re not choosing from a category, you’re choosing from the best of it. That dramatically lowers decision fatigue.

The visual separation of flavors creates a controlled comparison, making differences feel simple and non-risky instead of overwhelming.

The central placement of “classic” anchors the lineup, making it feel like the safe default.

Don’t show all options. Curate a small set and frame it as the best, so choosing feels easy, not risky.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

📧 The Most Beautiful Email You Ever Sent Probably Killed Your Click Rate.

📊 CAC Improved Almost Everywhere, But Conversion Rates Tell a Different Story

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

📧 The Most Beautiful Email You Ever Sent Probably Killed Your Click Rate.

There’s a specific kind of marketing postmortem nobody wants to have.

The beautiful email went out. Full-width hero. Immaculate typography. Brand colors dialed in perfectly. The designer sent a proud Slack message.

The open rate looked solid. Then the click-through came back at half the rate of the scrappy plain-text sent three weeks earlier, and the room went very quiet very fast.

Nobody scheduled a debrief. Nobody asked why. The next email brief went out with the same template.

That silence is where conversion rate goes to die.

Design is traffic control. Most brands are using it to redecorate.

Every layout decision is a decision about where the reader’s eye goes next. When design gets treated as aesthetics rather than architecture, that path gets built around what looks impressive rather than what converts.

The result is an email that asks the reader to make twelve visual decisions before reaching the one that matters:

• Multiple hero images because the product range deserves representation

• A brand story block because the copywriter worked hard on it

• Two CTAs because there are two things worth promoting this week

• Social proof banners because they test well in landing page research

The reader opens the email and faces a visual negotiation. Most don’t reach the conversion point — not because they’re uninterested, but because the layout trained their eye to wander before it knew where to land.

Why plain-text keeps winning against production budgets.

The plain-text email doesn’t win because readers prefer ugly. It wins because it eliminated every visual decision except one. Nothing to look at but words. Words lead to a link. The link is the only destination available.

Richness and conversion pull in opposite directions. Every visual element either directs attention toward the CTA or competes with it. There is no neutral design choice in an email. Every element is either helping or hurting, and most templates are packed with elements nobody has audited for their actual directional effect.

The mobile fold problem killing click rates silently.

Most email templates get designed on desktop. Most emails get read on mobile. That gap is where a significant portion of click rate disappears without anyone diagnosing why.

On desktop the CTA sits comfortably in the upper half. On a 375px mobile screen that same CTA is buried below three product images, a headline block, and a paragraph of copy the reader has to scroll past before knowing there’s anywhere to click.

Sixty percent of readers opening on mobile won’t scroll past the first screen. Before any email goes to design, one question needs an answer: does the CTA exist on the first screen of a 375px phone? If not, the layout is optimized for the device the team uses to build it, not the device the audience uses to read it.

Visual hierarchy is a conversion tool being used as decoration.

Font size, weight, and contrast create a reading sequence whether the designer intends them to or not. When the CTA button carries the same visual weight as the product headline, the reader’s brain processes them as equally important. That equivalence is the friction being measured in the click rate every week.

The CTA should be the most visually dominant element in the email. Everything above it builds the argument for clicking it. Everything placed after it is competing with the action that was supposed to happen there.

Design is the traffic cop. Build the layout like one.

📊 CAC Improved Almost Everywhere, But Conversion Rates Tell a Different Story

Intro Last week delivered one of the broader CAC improvement sweeps in recent months, with most platforms showing lower acquisition costs, yet conversion rates dropped sharply across several of them, raising questions about what’s actually driving the efficiency gains.

The Breakdown:

CPC - Meta, TikTok, and Pinterest saw click costs fall while AppLovin, Snapchat, and Microsoft pushed higher, where CPCs dropped alongside CAC. Lock in current audience segments before auction pressure rebuilds and closes the window.

CAC - Meta, Google, AppLovin, TikTok, Microsoft, and Pinterest all improved while YouTube and Snapchat worsened, broad CAC gains alongside falling CVR suggest external demand is doing the work, so hold campaign structure until the signal proves durable.

ROAS - Meta led at +3.97%, and Microsoft posted +5.10% while YouTube dropped -5.37%. YouTube’s simultaneous CVR and ROAS decline makes it the clearest candidate for a creative refresh before adding any budget back.

Meta held 65.00% share and Google grew to 25.89% while Snapchat surged +21.33% in share despite a -14.68% CvR collapse, Snapchat’s share jump without conversion support is a red flag worth investigating before that spend compounds, and AppLovin’s +10.46% CvR gain at 2.42% share remains the most underleveraged efficiency signal on the board.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad sells environmental context, not product benefits. The towel texture, soft lighting, and scattered sachets recreate a post-beach or recovery moment, making the product feel like it belongs in a specific lifestyle, not a supplement shelf.

The variety spread signals exploration without commitment, lowering the risk of choosing wrong by showing multiple flavors upfront. It feels like sampling, not buying.

The bottle + sachet combo creates a ready-to-use system, not a standalone product.

Don’t isolate your product. Place it inside a moment people already crave, and let that context do the convincing.

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳

In this newsletter, you’ll find:

😬 Your Agentic SEO Workflow Works in the Demo. It Falls Apart on a Real Client Site.

📱 YouTube and Pinterest Both Updated How They Handle Creator and Feed Tools

🏆 Ad of the Day

If you’re new to ScaleUP then a hearty welcome to you. You’ve reached the right place along with 50k+ CEOs, CMOS, and marketers. Let’s get into it, shall we? Oh! Before you forget, if someone forwarded this newsletter to you, don't forget to subscribe to our newsletter so you never miss out!

😬 Your Agentic SEO Workflow Works in the Demo. It Falls Apart on a Real Client Site.

The demos are genuinely impressive. An agent audits 200 URLs, detects cannibalization patterns, and delivers a prioritized fix list in ten minutes. Everyone in the room wants to replicate it. Then someone runs it on a live site and half the outputs are confidently wrong.

The gap isn’t technical skill. It’s data reliability. And it breaks the same way every time.

Build around data layers, not capabilities.

Agentic workflows get built backwards. The team starts with what the agent should do and figures out data access later. That sequence produces impressive prototypes and unreliable production systems.

Flip it. Map every agent action to a specific data input first. Verify that input is live, comprehensive, and updating frequently enough to be actionable before writing a single workflow step.

Separate inputs by refresh rate.

Not all data ages the same way, and agents making decisions on stale inputs produce stale outputs regardless of how sophisticated the logic is:

• Daily inputs: Ranking positions, crawl errors, indexing changes. Tactical decisions need current data or the agent flags the wrong pages with complete confidence.

• Weekly inputs: Backlink profiles, content performance trends. Acceptable latency for strategic decisions that don’t require real-time accuracy.

• On-demand inputs: Keyword gap snapshots, AI Overview eligibility. Pull these fresh at the start of every workflow run without exception.

Build validation checkpoints before every execution.

Production systems verify before they act. After every major agent action, cross-reference the output against a second data source. An agent flagging content decay should confirm the drop in Search Console before acting on position tracking data alone. One conflicting signal should pause the workflow and route to human review automatically.

Agents that execute without verification produce errors that compound. By the time someone notices, the damage is already downstream.

Modularize everything.

Monolithic workflows break unpredictably and are nearly impossible to debug cleanly. Keyword gap analysis, content decay detection, and cannibalization flagging should each exist as separate modules with independent inputs and outputs. When something breaks, and something always breaks, the fix stays contained to one module without destabilizing the rest.

SEMrush’s MCP server connects directly to Claude Code, Cursor, and ChatGPT, giving agents live access to Keyword Gap, Organic Rankings, Position Tracking, and AI Visibility data without manual exports. Included in all SEMrush One and SEO Toolkit subscriptions, no setup required. You can try it for free for 7 days.

Ship one module before building the full system.

Don’t construct the complete workflow before validating the data layer underneath it. Start with one function, run it against a real site, and verify every output manually before scaling to the next module.

Production failures almost always trace back to someone skipping this step. The agent is only as reliable as what gets built underneath it.

One module. Full validation. Then scale what holds.

📱 YouTube and Pinterest Both Updated How They Handle Creator and Feed Tools

Both platforms rolled out updates this week. YouTube, whose Media Kit has been available to Partner Program creators since October, is now adding richer audience data to help creators pitch brands more effectively. Pinterest, meanwhile, shared how it keeps its feed from going stale.

The Breakdown:

YouTube Upgrades Its Media Kit - YouTube added Family Status and Household Income as new audience metrics inside its Media Kit, giving brand partners more specific data to evaluate a creator before committing to a deal.

YouTube Create Gets AI Image Generation - Google’s Nano Banana model is now live inside YouTube Create, letting creators generate visuals using text prompts and up to three reference images. The Reimagine feature for Shorts also got wider access.

Pinterest Avoids Repetitive Feeds - Pinterest confirmed that showing users only interest-matched content reduces session length and return visits over time. Repetitive feeds also dilute intent signals, making the overall recommendation system less accurate.

Pinterest Widened Its Recommendation Signals - Pinterest now factors in visual embeddings, co-engagement patterns, and actions from other users — not just individual behavior. The broader signal set led to measurable engagement improvements across the platform.

Richer creator data on YouTube means more informed sponsorship decisions on both sides. On Pinterest, the algorithm actively penalizes repetition; diversifying content formats is no longer optional, it is how the feed works.

🏆 Ad of the Day

What Works:

The Hidden Conversion Mechanism

This ad elevates the product from a supplement to a biological upgrade narrative. “Revitalize, repair, re-energize your cells” zooms the benefit down to a cellular level, making the impact feel deeper, more fundamental, almost invisible but powerful.

The floating handoff creates a transfer moment, like you’re being given access to something valuable, not sold to. It feels curated, not commercial.

The award badge anchors it in intellectual credibility, not influencer hype.

Steal This: Shift your benefit from surface outcomes to deeper system-level change, then visually present it like access, not a transaction.

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Wanna put out your message in front of over 50,000 best marketers and decision makers?

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We are concerned about everything DTC and its winning strategies. If you liked what you read, why not join the 50k+ marketers from 13k+ DTC brands who have already subscribed? Just follow this.

At ScaleUP, we care about our readers and want to provide the best possible experience. That's why we always look for ways to improve our content and connect with our audience. If you'd like to stay in touch, be sure to follow us EVERYWHERE🥰

Thanks for your support :) We'll be back again with more such content 🥳