In this newsletter, you’ll find:

🧐Plan for the BFCM spike now

📢 AI Assistants Open New Ad Opportunities

🏆 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!

🧐Plan for the BFCM spike now

Before: most Q4 planning treats November’s expensive CPMs as a seasonal event, a temporary spike to budget around and wait out, same as every year.

After: the seasonal spike is landing on top of a structural one that never reset. Industry CPMs now run roughly 89% above 2020 levels and peaked at $25.22 in November 2025, a baseline increase that compounds with, rather than resets before, the seasonal BFCM premium stacking on top of it every Q4 since.

The documented pattern from cross-brand CAC data: brands that did their acquisition and awareness preparation in May paid 15 to 20% less per acquisition in July than brands that scrambled in June, a six-to-eight-week head start converting directly into a double-digit cost advantage once the seasonal spike arrived.

The same logic applies to Q4. Waiting until October to start building demand means building it during the exact window when the structural and seasonal increases are both already priced into the auction.

The brands outperforming during BFCM aren’t fighting harder inside that expensive window. They’re creating demand before it opens, in channels competitors haven’t fully tapped, so that by the time Meta, search, email, and affiliates all get expensive simultaneously in November, the demand already exists and digital is capturing it rather than manufacturing it from scratch at peak auction prices.

PATTERN Beauty built exactly this with Tatari: a phased 12-week campaign across streaming and linear, measuring revenue impact from day one rather than waiting on a delayed brand study.

The results: 58% growth in unique site visitors, a 3x revenue lift from month one to month three on comparable budgets. It gave digital more in-market demand to capture once BFCM’s expensive window actually opened.

The math on when to start: if a demand-creation campaign needs roughly 12 weeks to build meaningful awareness and BFCM opens in late November, the planning conversation needs to happen in late August, not late September, and definitely not once October’s own CPM creep has already started eating into the budget meant to fund it.

The brands still treating BFCM CPM spikes as a purely seasonal, wait-it-out event are the ones paying the compounded price twice, once on the structural baseline that never came back down, and again on the seasonal layer stacked directly on top of it. You can book a free demo here and build demand with TV before Q4 gets crowded.

📢 AI Assistants Open New Ad Opportunities

Three new developments from OpenAI, Google, and the broader AI market suggest advertising inside AI assistants is becoming a real channel. At the same time, brands can no longer rely on a single platform or a single visibility metric.

The Breakdown:

ChatGPT Expands Ads - OpenAI has started testing two ads from two different advertisers within a single ChatGPT response, marking the first major expansion of its ad inventory beyond a single sponsored placement.

Google Separates Ads From Citations - A new SE Ranking study found Google AI Mode displayed ads on 29% of commercial keywords, but advertisers appeared among AI-cited sources only 11% of the time, showing paid visibility and AI citations operate independently.

High-CPC Keywords Win More Ads - AI Mode showed ads more frequently for expensive keywords, with ad presence rising to 53.56% for keywords above $10 CPC, while search volume and keyword difficulty had little impact.

AI Audiences Are Fragmenting - ChatGPT’s share of AI users fell below 50% for the first time as Gemini and Claude gained market share, suggesting brands should diversify both AI advertising and optimization efforts.

AI assistants are becoming a new advertising ecosystem, but success will depend on more than buying placements. Brands now need to track paid ads, AI citations, and platform reach separately as both visibility and audiences become increasingly fragmented.

🏆 Ad of the Day

What Works:

Toggles Simplify Benefits - The familiar toggle format turns product benefits into an instantly scannable comparison, reducing cognitive load while clearly positioning Huel as the positive alternative to common meal frustrations.

Contrast Drives Attention - The black background, bright green switches and steaming food create a strong pattern interrupt, while the white cup keeps visual hierarchy focused firmly on the product.

Objections Get Reframed - Pairing nutrients and convenience against skipped meals, unfulfilling food and afternoon slumps uses problem-solution framing to strengthen message-market fit and make the value feel immediate.

Show what customers gain and eliminate using a familiar interface or checklist. This makes the product’s value easier to process and reduces conversion friction quickly.

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In this newsletter, you’ll find:

🧐Consent changes from 2027

📱 AI Is Changing Creative Workflows

🏆 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!

🧐Consent changes from 2027

The FCC’s “revocation-all” provision got delayed to January 31, 2027, which makes it easy to file under later. It shouldn’t be.

The rule, once active, treats any opt-out on one channel as revoking consent across every channel and every purpose, meaning a customer unsubscribing from SMS wouldn’t just leave the text list, they’d legally exit email too, and every other channel connected to that consent record, unless the program is architected to handle that correctly.

Most current opt-out flows do the opposite on purpose. A customer leaves SMS and gets offered an email-only alternative, treating the two channels as genuinely separable preferences rather than one shared consent record.

That’s good marketing under today’s rules. Under the 2027 rule, unless the specific consent language and flow are built correctly in advance, that same channel-switch offer risks running against the exact thing the rule is designed to prevent.

Building for this now means the consent architecture, not just the opt-out flow, needs a real review, not a quick skim.

Every place consent gets captured should specify clearly which channels that consent actually covers, worded so that opting out of one doesn’t automatically imply the customer meant to opt out of everything, since specificity at the moment of consent is what protects a channel-switch offer from becoming a violation once the rule finally activates in 2027.

The manual version of this audit means reviewing every consent capture point across the signup flow, checkout, and any opt-in forms individually, checking the exact language against what the future rule will require, and rebuilding anything vague before it becomes a compliance problem instead of a marketing choice.

An AI connected to a live Omnisend account can review the current consent language across every capture point and flag which ones are vague enough to risk trouble under the coming rule, drafting the specific language needed to fix each one for review.

Omnisend already runs this for 150,000+ brands, generating an average of $79 for every $1 spent, with a full setup migrated free within five days and pricing up to 35% lower than Klaviyo’s.

You can get started with the ready-made prompts and run the audit this week. Eighteen months sounds like plenty of runway. It stops sounding like enough the day a competitor gets flagged for exactly this and the deadline is suddenly next quarter, not 2027.

📱 AI Is Changing Creative Workflows

New research from TikTok, WARC, and ESW shows AI is becoming central to marketing, but human insight and consumer trust remain critical for driving results.

The Breakdown:

AI Is Now Mainstream - The TikTok-WARC report found 90% of marketers consider GenAI important to creative development, while 72% already use it regularly. Today, 73% use AI for visual content creation, compared with 42% using it for copywriting.

Output Is Rising - AI is improving productivity across creative teams. 88% of marketers say it has increased creative output, while 45% report a significant improvement in content quality. Still, one in three believe richer cultural insights are needed to make AI-generated content more relevant.

Culture Improves AI - The report found 86% of marketers believe audience and community signals will play a bigger role in shaping AI creativity, while 76% expect to increase their use of TikTok’s AI-powered creative tools over the next year.

Discovery Doesn’t Mean Purchase - ESW found 62% of consumers are influenced by social platforms when discovering products, but only 6% prefer to complete purchases there. Many still move to trusted brand websites before buying.

AI is making creative production faster, but better performance depends on the quality of the inputs. At the same time, brands must design for customer journeys where discovery happens on social platforms, but purchases often happen elsewhere.

🏆 Ad of the Day

What Works:

Typography Stops Scroll - The oversized “Snack Pack Big Adventure” headline creates a playful pattern interrupt, while the bold 3D typography boosts thumb-stop potential and keeps the message instantly readable.

Portability Becomes Visual - Placing the multipack inside an open travel bag turns portability into a visual use case, helping shoppers immediately understand when, where and why the product fits.

Color Builds Recall - The saturated purple palette gives the ad strong shelf and feed distinction, while the oversized pack shot preserves branding recall and clearly communicates quantity, flavor and format.

Build the creative around one recognizable consumption moment, such as commuting, travel or lunch, then scale the product large enough to make the use case unmistakable.

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In this newsletter, you’ll find:

🫢Rufus Can Now Buy Without Asking You First

🔍 Google Updates Search & Ads

🏆 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!

🫢Rufus Can Now Buy Without Asking You First

Before: a shopper searches, compares, reads, decides, clicks. Every one of those steps was a moment a brand could win or lose the sale. The entire discipline of Amazon optimization got built around influencing that sequence, one click at a time, across years of testing headlines, images, and prices against each other.

Now: Rufus places orders with no prompt at all. A calendar trigger. A price threshold. A standing preference set through Shop Direct. The reorder just happens, with the shopper not actively shopping in that moment at all, and no competing listing ever entering the frame.

The comparison step some brands were built to win doesn’t happen anymore. There’s nothing to click through. Nothing to compare. The decision already got made once, and Rufus is simply executing it again, quietly, in the background, without a competing option ever crossing the shopper’s screen a second time.

That changes where the real competition actually sits. It used to be every purchase. Now it’s the first one, because winning that single first decision can mean winning every silent reorder that follows behind it, potentially for months without a single moment of renewed consideration.

One: the product that gets chosen first is the one that keeps getting bought, on autopilot, for as long as the standing preference stays in place. Losing that first decision to a competitor doesn’t just cost one sale. It quietly costs every reorder that would have followed behind it, compounding in a way a single lost sale never used to.

Two: what actually wins that first decision is trust built before the click, not persuasion during it, since there’s no persuasion moment left once autonomous reordering takes the wheel.

Reviews, genuine usage content, and real social proof do that work upfront, in a way a checkout-page discount or a retargeting ad never gets the chance to once the loop closes.

Three: this is exactly the kind of content Stack Influence builds toward. Creators purchase the product on Amazon with their own money, use it, and generate the specific, credible content that actually wins a first-time buying decision before an AI ever gets the chance to automate the next nine purchases behind it.

You can sign up in the next two weeks and take 10% off your first campaign, or book a free demo call before a competitor locks in the reorder that should have been yours.

The purchase moment didn’t disappear. It just moved earlier, and for a growing share of shoppers, it may only happen once.

🔍 Google Updates Search & Ads

Google announced new updates across Search and Google Ads, including a major change for Local Services Ads, new AI Search traffic figures, and more advanced brand measurement tools.

LSAs Move In August - Google will begin a phased rollout in August 2026 to bring Local Services Ads into Google Ads, giving advertisers one place to manage campaigns, leads, calls, and reporting.

Same Model, Better Management - The new campaign keeps the existing pay-per-lead pricing and still appears only on Search and Maps, while automatically syncing business information and photos from Google Business Profile.

AI Mode Ads - A new SE Ranking analysis found Google AI Mode displayed text ads on 29% of commercial keywords, but advertisers were cited as sources only 11% of the time at the domain level, showing that buying ads and earning citations are largely separate.

Enhanced Brand Lift - Google introduced Enhanced Brand Lift Studies, allowing advertisers to measure lifts as small as 1.2% instead of 2%. The feature requires about 3× more budget but improves positive lift detection by 60%.

Google is making campaign management more unified while expanding advertiser measurement tools and providing new data points around AI Search, reflecting its continued push toward an AI-first advertising ecosystem.

🏆 Ad of the Day

What Works:

Usage Feels Effortless - The “pour, stir and sip” instruction reduces cognitive load by making preparation feel immediate, while “no shaking required” removes a familiar friction point for protein buyers.

Demo Builds Understanding - Showing powder falling directly into clear water communicates the product format faster than copy alone, helping shoppers instantly understand how clear protein differs from traditional shakes.

Premium Nutrition Positioning - The warm editorial lighting, refined typography and structured benefit callouts make the supplement feel elevated, while protein, electrolytes and zero sugar strengthen perceived functional value.

Show the product during its simplest use moment, then pair the visual with one friction-reducing claim. This improves product comprehension and makes trial feel easier.

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In this newsletter, you’ll find:

💪 The Best Creator Ads Right Now Aren’t Selling The Product

🔍 Google Expands Search & Ads

🏆 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

Why are your top pages still missing AI’s pipeline

Traffic from AI search is growing, but most teams haven’t figured out how to turn it into a pipeline. Comparison pages, pricing pages, and feature pages either aren’t getting cited or aren’t converting when they are.

On August 5 at 2pm ET, Josh Grant, founder of StackedGTM and former VP of Growth at Webflow, joins AirOps’ Josh Spilker for a tactical session on the plays that turn AEO into revenue this quarter.

You’ll walk away with:

• Why comparison pages are one of the fastest ways to capture mid-funnel AI search demand

• What makes pricing and feature pages more extractable for models to cite and summarize accurately

• How third-party corroboration from sites like G2, Capterra, and Reddit strengthens on-site messaging

Audit your feature pages against Josh’s AEO framework live, and leave with a ranked fix-it list

Secure your free spot

Can’t make it live? Register anyway and get the recording in your inbox within 24 hours.

💪 The Best Creator Ads Right Now Aren’t Selling The Product

They’re letting the format do the selling.

A growing number of the highest-performing creator campaigns follow the same pattern. The viewer clicks because they recognize the format, not because they care about the brand. “Wait, this app has that feature?” Fake reviews, fan edits, tier lists, storytimes. The content already has a beginning, a payoff, and a reason to keep watching.

The product simply completes the story. That’s a very different creative brief from writing an ad.

Start with a format people already finish.

Don’t ask, “How do we make this product interesting?”

Ask, “What content are people already choosing to watch?”

If the format naturally holds attention, the product doesn’t need to carry the weight of the opening. It only needs to make the ending satisfying. That’s why reveal formats, rating videos and joke structures keep outperforming polished product explainers. The viewer is following the format. The product arrives later.

Don’t add a CTA if the format has already delivered one.

One of the easiest ways to weaken a winning creator ad is to explain the joke after it lands.

If the reveal makes someone think, “I need to try that,” you’ve already achieved what the CTA was supposed to do.

Adding another ten seconds of selling often changes how the video feels. It stops being a piece of content and starts reminding the viewer they were watching an ad all along.

The simplest test is to export two versions: one ending on the reveal, another with the usual call to action. Let the numbers decide whether your audience actually needs the extra pitch.

Brief creators with formats, not scripts.

Creators are good at adapting to formats their audience already understands.

They’re far less convincing when asked to recite brand copy.

A stronger brief is, “Use this trend and make the product the payoff,” rather than, “Here’s what we need you to say.”

That’s exactly why Billo’s breakdown of top-performing creator ads is worth studying before the next campaign. It doesn’t just show winning ads. It categorizes them by hook type and content format, making it much easier to spot which structures are still gaining traction and which have already peaked. You can read it before your next round of creator ads.

The strongest creator ads don’t hide the product.

They make you care about the story first, so by the time the product appears, it already feels like the natural ending.

🔍 Google Expands Search & Ads

Google introduced new AI-powered Search integrations and advertising updates, giving users more actions inside Search while expanding campaign measurement and management tools for advertisers.

The Breakdown:

AI Mode Connects Apps - Google AI Mode now integrates with Instacart, Canva, and YouTube Music, allowing users to shop, design, and create playlists directly from Search without leaving the experience.

Video Campaign Groups - Google rolled out Video Campaign Groups globally, letting advertisers manage reach and frequency across multiple YouTube campaigns, with 2.7 weekly exposures linked to a 19% ROI lift.

Shopping Ad Test - Google confirmed it’s testing a hide/show sponsored products option in Shopping results, aiming to make ad labeling more consistent across Search and Shopping.

PMax Reporting Update - Performance Max product reporting now includes all eligible Google networks, so increases in impressions, clicks, and conversions after June 15 reflect broader measurement, not improved performance.

Google is keeping more user activity inside its own ecosystem while expanding advertiser tools and measurement. As Search becomes more integrated and automated, brands will need to adapt to changing traffic patterns and reporting methods.

🏆 Ad of the Day

What Works:

Proof Leads Conversion - The “visible results in 90 days” headline immediately frames a concrete outcome and timeline, giving the ad strong message-market fit for shoppers seeking measurable hair growth support.

Statistics Build Trust - The stacked percentages act as powerful social proof, reducing conversion friction by showing multiple benefits while the third-party study disclosure adds credibility to the performance claims.

Product Feels Tangible - Showing the capsule between fingers alongside the open jar makes the routine feel simple and real, improving product communication while keeping the supplement visually premium and approachable.

Lead with a specific timeframe, support it with several study-backed results, and visually show the product in use so prospects understand both the promise and routine instantly.

🤳Events

🔥 What 400+ Websites Reveal About Winning In Google Zero

July 23 | 60 Minutes | Virtual Event

Most SEO advice is based on opinion. This session is based on data. Learn what Cyrus Shepard discovered after studying 400+ websites, including the content formats still driving growth, the assets Google continues to reward, and where AI fits into a modern content strategy.

✅ Register For Free

Can’t make it live? Register anyway, you’ll get the recordings within 24hours.

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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🥰

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In this newsletter, you’ll find:

🫠 You Ranked First Now What?

📊 Nearly Every Platform Improved, But Budget Is Still Chasing Last Week’s Losers

🏆 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!

🫠 You Ranked First Now What?

For years, Amazon SEO had one objective: earn a higher organic position.

That assumption just broke.

With Alexa for Shopping answering more product searches before the traditional results page appears, shoppers increasingly encounter an AI response first and only reach organic listings if they choose to continue. Your ranking hasn’t changed.

Your addressable audience has.

That’s an important distinction.

A listing ranking first beneath the AI layer may now be seen by fewer shoppers than a lower-ranked listing would have reached a year ago. The challenge is no longer winning the results page. It’s earning visibility before the results page is ever opened.

Measure reachable traffic, not rank.

Start manually searching your highest-revenue keywords.

For each query, record two things:

• Does Alexa answer before the search results?

• If yes, does your product appear in that response or only after the shopper clicks through?

Those are now two separate visibility events. Traditional rank trackers only measure the second.

Optimize for evidence, not keywords.

Organic search rewards relevance.

AI answers reward confidence.

Purchase-verified reviews describing specific use cases, consistent customer satisfaction, detailed product experiences, and trustworthy third-party signals give an AI system far more confidence than perfectly repeated keywords ever will.

The brands that benefit most from this shift won’t necessarily have better listings.

They’ll have stronger evidence.

This is exactly why Stack Influence has become more valuable than a traditional creator campaign. The hardest part isn’t getting creators to talk about your product. It’s generating purchase-verified experiences at scale.

Every Stack Influence campaign starts with creators buying your product on Amazon, using it themselves, and publishing detailed reviews and original content rooted in real ownership.

Those aren’t just conversion assets anymore. They’re the exact kind of evidence AI shopping assistants increasingly rely on when deciding which products deserve visibility before shoppers ever reach the search results.

If your competitors are feeding that evidence layer while you’re still optimizing only for rankings, you’re already playing two different games. You can sign up in the next two weeks and take 10% off your first campaign.

Audit the AI layer every week.

Your organic position can stay exactly the same while your visibility quietly declines.

That’s because rankings measure where you appear. They no longer measure whether shoppers ever arrive there in the first place.

The biggest change in Amazon SEO isn’t happening on the results page. It’s happening one click before it.

📊 Nearly Every Platform Improved, But Budget Is Still Chasing Last Week’s Losers

Last week delivered one of the broadest efficiency recoveries of the year, costs fell, CAC improved sharply across the board, and returns rebounded on most major platforms, creating a rare environment where scaling decisions are easier to justify than they’ve been in months.

The Breakdown:

CPC - Meta, Google, TikTok, YouTube, Pinterest, and Microsoft all saw click costs fall while Snapchat pushed higher, with CPCs dropping alongside improving CVR and ROAS on most platforms. This is the week to push budgets on proven creatives rather than holding back.

CAC - Meta, YouTube, AppLovin, Snapchat, Pinterest, and Google all improved while Microsoft barely held flat; broad CAC improvement this clean is a compounding signal; run a 20–25% budget increase on top performers this week and set a CAC ceiling before committing to the full lift.

ROAS - Pinterest led at +25.31%, and Meta posted +14.39% while Microsoft collapsed at -14.59%, Pinterest at 0.48% budget share, with the week’s highest ROAS is being left almost entirely untouched; open a dedicated test budget there before the auction reprices the opportunity.

Meta regained share to 54.90% with +14.39% ROAS and +18.87% CvR, the strongest aligned performance signal it’s shown in weeks, making this the clearest case to scale it confidently.

Pinterest at 0.48% share posted +25.31% ROAS and is structurally underfunded. Move budget from Microsoft, where ROAS dropped -14.59%, into Pinterest and YouTube, both of which posted double-digit ROAS gains this week.

🏆 Ad of the Day

What Works:

Benefit Leads Instantly - The oversized benefit headline communicates the core promise instantly, giving the ad a strong thumb-stop ratio while making the value proposition easy to understand on mobile.

Triggers Explain Technology - The three trigger icons turn abstract technology into simple, relatable use cases, reducing cognitive load and helping shoppers quickly connect the product to everyday sweat moments.

Retail Branding Reassures - Degree and Walmart branding sit in high-visibility zones, strengthening recall and purchase confidence while the glowing product render keeps attention anchored on the hero SKU.

Pair one bold functional claim with three visual proof points and a clear retail destination. That structure builds credibility, preserves CTA clarity and shortens conversion friction.

🥳 Events

🔥 What 400+ Sites Reveal About Content That Survives Google Zero

July 23 | 60 Minutes | Virtual Event

Cyrus Shepard mapped the exact differences between sites still growing and those losing ground. Get the five traits behind durable growth, the 17 formats with staying power, and a practical way to score every piece on your content calendar before investing more.

✅ Reserve Your Free Seat

Can’t make it live? Register anyway, you’ll get the recordings within 24hours.

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Find our Partner Kit here🤝

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 Customer Who Spent $80 May Be Worth More Than the Customer Who Spent $800

📈 ChatGPT Ads Expand as AI Search Evolves

🏆 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 Customer Who Spent $80 May Be Worth More Than the Customer Who Spent $800

Lifetime value records the money a customer sends to the brand. It misses the money that arrives because the customer privately recommended the brand to someone else.

That omission matters because personal recommendations remain one of the most trusted forms of marketing. Nielsen found that 88% of global respondents trust recommendations from people they know more than any other channel.

Yet purchases influenced through forwarded emails, screenshots, WhatsApp groups, and private messages frequently appear as direct traffic or an unattributed sale.

The practical opportunity is not “track more forwards.” It is to identify customers who repeatedly create demand, estimate their economic value, and give them better material to share.

1. Create a measurable forwarding path without replacing organic sharing

Add a secondary link beneath the main email CTA:

“Know someone who would appreciate this? Send it to them.”

The link should open a lightweight sharing page with email, WhatsApp, and copy-link options. Give every original subscriber a unique share identifier, but never expose personal data in the URL.

Track four events: share-link click, recipient visit, recipient purchase, and time from share to purchase. This creates a clean attribution path while leaving ordinary email forwarding untouched.

The output is not a forwarding rate. It is a list of customers whose recommendations generated identifiable commercial activity.

2. Separate accidental sharing from repeat demand creation

One forwarded launch email can reflect a good offer. Three forwarded campaigns across different product categories indicate a customer habit.

Qualify a customer as a potential demand creator only after they produce at least two recipient visits across separate campaigns. Promote them to confirmed status after one recipient purchases or several recipients return.

That distinction prevents a viral campaign from filling the segment with one-time sharers who never influence another decision.

3. Calculate value beyond the customer’s personal purchases

Use a separate field beside lifetime value:

Rank customers by demand value, then compare the result with the existing VIP list. The ranking will often change because high spend and high influence are different behaviours.

4. Test whether recognition increases or corrupts the behaviour

Split confirmed demand creators into three groups. Give one early access, another a modest sharing benefit, and the third no intervention. Compare recipient purchases, sharing frequency, and gross profit over 60 days.

This reveals whether recognition compounds advocacy or turns an organic recommendation into discount-seeking behaviour. The winning treatment becomes the basis of a demand-creator program rather than another generic loyalty tier.

Omnisend can support the workflow through trackable links, customer segmentation, and automated follow-ups. It is used by more than 150,000 brands, and Omnisend reports an average return of $79 for every $1 spent. You can get started with a ready-made prompt.

Your highest-value customer may not be the person placing the largest orders. It may be the person quietly sending the next customer your way.

📈 ChatGPT Ads Expand as AI Search Evolves

OpenAI continues expanding ChatGPT Ads with new measurement tools and campaign features, even as new research highlights the gap between the company’s revenue ambitions and the current size of the chatbot advertising market.

The Breakdown:

ChatGPT Ads Add New Tools - OpenAI added Sales ROAS, Attributed Sales Value, product reporting, and audience targeting, while introducing campaign dashboards and suggested ad drafts to improve campaign management.

$100B Target Faces Reality - OpenAI wants $100B in ChatGPT ad revenue by 2030, but eMarketer projects the entire U.S. chatbot ad market will reach just $5.41B, putting OpenAI’s target on pace to miss by roughly 90%.

Search Habits Are Changing - A Bocconi University study found wider ChatGPT access reduced traditional search queries by 9.4%, though ChatGPT still sends users to external websites in just 5.2% of sessions versus 31.1% for Google.

AI Trust Still Trails Search - A YouGov survey found only 28% of Americans trust AI assistants for search, compared with 70% who trust traditional search engines, with many users still verifying AI answers through external sources.

OpenAI is rapidly building out ChatGPT Ads while AI search adoption continues to grow. However, advertiser expectations, consumer trust, and the overall chatbot ad market still have considerable room to mature before AI advertising reaches the scale of traditional search.

🏆 Ad of the Day

What Works:

Clarity Builds Confidence - The oversized “Microdose” headline simplifies a complex medical offer, while the supporting line keeps the message approachable and lowers cognitive load for curious first-time prospects.

Product Feels Clinical - The isolated vial and syringe create immediate product communication, while the clean composition and restrained green palette make the treatment feel controlled, modern, and professionally positioned.

Branding Feels Native - The “hers” label and “weight loss by hers” lock the product to a recognizable brand system, strengthening branding recall while the safety disclosure supports credibility.

For unfamiliar health products, lead with one plain-language concept, show the delivery format clearly, and use clinical restraint to reduce confusion while preserving premium appeal.

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In this newsletter, you’ll find:

🫣 Stop compressing your market

📺 CTV Spending Grows As Trust Lags

🏆 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 compressing your market

Performance marketers spend a lot of time asking whether a headline is specific enough.

Very few ask what that specificity costs. Every qualifier performs two jobs at once. It helps one group recognize the message faster while quietly removing everyone else from consideration.

Sometimes that’s exactly what you want.
Sometimes it’s the reason a great ad never scales.

Think about the difference between these headlines.

“For side sleepers.”

“Wake up without neck pain.”

The first speaks directly to one audience. The second speaks to anyone with the problem. Both can sell the same pillow.

The difference is how much of the market gets compressed before the viewer even sees the product.

Instead of debating whether your headline is “better,” measure how much market it’s compressing.

1. Calculate the cost of every qualifier. Duplicate your winning ad three times. Keep the creative, offer, landing page and audience identical. Only change the opening. Version A keeps every qualifier. Version B removes one. Version C removes two. Let all three complete the learning phase before comparing them.

Don’t stop at CTR or CPA. Record the total spend each version absorbs before CPA increases by roughly 20%. If removing a qualifier allows the ad to spend significantly more while maintaining similar efficiency, that qualifier was restricting scale rather than improving relevance.

2. Find the customers your headline nearly excluded. Read your latest 100 verified reviews. Highlight phrases such as “I didn’t think this would work for me,” “I almost skipped this,” or “I wasn’t sure this was for someone like me.”

Then identify what those customers have in common. If profitable buyers repeatedly describe themselves outside the audience your headline targets, you’ve found unnecessary audience compression.

3. Build two versions of every winner. Once a creative proves itself, don’t make another variation immediately. Make two versions instead. One keeps the original specificity for efficient testing.

The other removes one qualifier at a time until performance genuinely deteriorates. One becomes your precision creative. The other becomes your scaling creative.

4. Map your compressed audiences. Export your top-performing ads from the past year and list every audience qualifier you’ve used: “busy moms,” “sensitive skin,” “curly hair,” “pet owners,” “runners.” Then compare that list with your customer data.

Which profitable customer groups have never been addressed directly? Those gaps often produce stronger creative opportunities than another variation of your current winner.

Audience compression isn’t the enemy. Unnecessary audience compression is.

The strongest headlines remove only the people who were never going to buy, while leaving everyone else curious enough to keep watching.

📺 CTV Spending Grows As Trust Lags

Connected TV advertising continues to attract larger budgets, but a new IAB report shows advertisers remain concerned about inventory quality, fraud, and campaign transparency.

The Breakdown:

Confidence Remains Low - Despite trusted buying methods, 43% of advertisers lack confidence in programmatic guaranteed inventory, rising to 55% for private marketplaces and 68% for open exchanges.

Fraud Still A Concern - Advertisers cited invalid traffic and unclear inventory origins as key issues, while 41% said brand safety influences decisions to reduce or shift streaming ad spend.

Targeting Leads Spending - Audience targeting became the top buying priority for 49% of advertisers, overtaking content quality, while 93% said live digital video delivers stronger viewer engagement.

Live TV Premium Debated - Although 93% value live digital video, nearly one-third of advertisers said premium pricing isn’t justified due to measurement gaps and inconsistent business outcomes.

Connected TV budgets continue to grow, but advertisers are demanding greater transparency, inventory quality, and measurement before increasing spend further.

At the same time, Walmart’s planned $1.2B acquisition of Vibe.co shows how CTV is evolving beyond brand awareness, with retailers increasingly combining streaming ads, commerce data, and closed-loop measurement to connect ad exposure directly to purchases.

🏆 Ad of the Day

What Works:

Headline Stops Scroll - “Bundle & Save” delivers immediate offer framing in oversized type, creating a strong thumb-stop ratio while keeping the core value proposition understandable within one quick glance.

Incentives Stack Smartly - Combining up to 20% off with free shipping increases perceived value, while automatic checkout application removes conversion friction and reassures shoppers there are no complicated steps.

Cart Visualizes Purchase - The shopping cart and floating products turn the bundle mechanic into a visual story, helping shoppers imagine buying multiples while reinforcing product recognition and branding recall.

When promoting bundles, visualize several products entering a cart and pair the scene with stacked incentives. It makes the buying behavior feel obvious, effortless and rewarding.

🥳 Events

🔥 What 400+ Sites Reveal About Content That Survives Google Zero

July 23 | 60 Minutes | Virtual Event

Cyrus Shepard mapped the exact differences between sites still growing and those losing ground. Get the five traits behind durable growth, the 17 formats with staying power, and a practical way to score every piece on your content calendar before investing more.

✅ Reserve Your Free Seat

Can’t make it live? Register anyway, you’ll get the recordings within 24hours.

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In this newsletter, you’ll find:

💪Amazon levelled the playing field

📢 Google Expands Ad Transparency And Measurement 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!

💪Amazon levelled the playing field

Most headlines about Amazon’s latest Buy Box update are missing the point.

Yes, Amazon is removing the seller eligibility gate that previously determined who could compete for the Featured Offer. The rollout begins in the EU and UK on July 20 before expanding globally through 2026.

Instead of deciding eligibility first, Amazon will evaluate all offers using a single ranking process, with seller performance becoming one factor among many rather than a pass-or-fail requirement.

For newer sellers, that’s undeniably good news.

But it doesn’t make winning the Buy Box any easier.

It simply means more sellers are now competing in the same race.

That’s a much bigger shift than most brands realize.

Previously, a newer account could spend months improving performance metrics just to become eligible. Now every qualifying offer gets evaluated from the start, making the difference between winning and losing increasingly dependent on the signals Amazon uses to predict customer satisfaction.

Here’s where brands should focus first.

1. Fix customer complaints before they become competitive disadvantages. Seller performance still matters. Amazon has simply changed how it uses it. Open your Voice of the Customer dashboard and look for repeated complaints rather than isolated issues.

If buyers consistently mention misleading images, confusing sizing or damaged packaging, those are listing problems that will continue hurting competitiveness until they’re fixed.

2. Build trust while everyone else is watching the announcement. New listings still need reviews to convert shoppers with confidence. Amazon Vine remains an option, but its updated pricing structure makes it harder to scale across large catalogs.

Another approach is Stack Influence, where creators purchase products through Amazon with their own money, use them naturally and leave genuine reviews if they choose. That helps brands generate authentic purchase activity instead of waiting months for review momentum to build. Brands that sign up within the next two weeks can also receive 10% off their first campaign. You can book a free demo call and get started today.

3. Read your reviews like customer research. Stop counting stars and start highlighting recurring phrases. The language customers naturally use often explains your product better than brand copy does. Those insights belong in your images, bullets and A+ Content because they’re rooted in real buying experiences.

Amazon hasn’t lowered the standard for winning the Featured Offer.

It has removed one of the biggest advantages established sellers had before the competition even started.

The sellers who benefit most won’t be the ones celebrating the announcement. They’ll be the ones improving the signals Amazon still uses to decide who wins.

📢 Google Expands Ad Transparency And Measurement Tools

Google announced a series of updates across Ads and Search Console, introducing AI disclosure labels, expanded YouTube campaign controls, and new reporting for social platform content.

The Breakdown:

More Control Over Video Ad Frequency - Google has expanded YouTube’s reach and frequency controls to video campaign groups, allowing advertisers to manage exposure across multiple campaigns. Internal testing found that an average frequency of 2.7 weekly exposures delivered a 19% lift in ROI.

AI Labels Come To Google Ads - Google is introducing AI-generated content disclosures across Search, YouTube, and Discover. Ads created with Google’s AI tools will be labeled automatically, while advertisers using third-party AI tools will need to disclose AI usage themselves.

Search Console Tracks Social Content - Google Search Console is rolling out platform properties, allowing creators to monitor how their Instagram, TikTok, X, and YouTube content performs in Google Search through dedicated performance, insights, and achievements reports.

Google is adding more transparency to AI-generated advertising while expanding campaign optimization and reporting tools, giving advertisers and creators more visibility into how their ads and social content perform across Google’s ecosystem.

🏆 Ad of the Day

What Works:

Offer Dominates Instantly - The oversized “50% OFF” creates immediate offer framing, while the Prime event badge and date reduce cognitive load by answering what, when and where within seconds.

Products Anchor Value - The clustered product lineup makes the discount feel tangible, while ingredient visuals reinforce haircare relevance and improve attention retention without distracting from the core promotional message.

Contrast Builds Urgency - The bright blue background, white typography and pink date bar create strong visual hierarchy, helping the creative stand out in-feed while keeping CTA clarity high.

Place the discount at the visual center, support it with a clear deadline, then surround it with recognizable products so shoppers instantly understand both urgency and value.

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In this newsletter, you’ll find:

😤The Line Item Nobody Trusts Is the One That’s Telling the Truth

📈 OpenAI Expands ChatGPT Ads Platform

🏆 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 Line Item Nobody Trusts Is the One That’s Telling the Truth

Every dashboard has that revenue bucket labeled direct or unattributed, and most teams treat it like noise, the leftover pile after the real channels get their credit. Backwards, actually. That’s the one number in the whole report that no platform can inflate, because nobody bought that traffic.

It’s messy, worth saying that up front:

• Some of what lands in “direct” isn’t cold at all

• Somebody saw a paid ad four days back, forgot about it consciously, came back on their own steam later

• No platform’s attribution window was ever going to catch that correctly anyway

So the number isn’t a clean read on brand strength. It’s a proxy, and the honest way to use it is watching where it’s headed:

One supplement brand’s direct-attributed revenue: January: 18% June: 31% Same spend. Same offer. Nothing else changed.

Whatever shifted in those months, more people were choosing to come back without being paid to. That’s the number worth putting in front of a board, not blended ROAS.

Getting that trend used to mean an export every month, tagging source by hand, rebuilding the same pivot table each time someone asked for an update. That part stopped being necessary.

Ask the AI connected to a live Omnisend account what share of this month’s revenue arrived with no discount code and no ad click attached, and the real number comes back pulled from the account itself.

Runs on infrastructure already serving 150,000+ brands, averaging $79 back per dollar spent, migrating a setup free within five days. You can connect your AI and run your first prompt today!

Pull the last two quarters this week. The trend, not the single figure. If it’s sliding the wrong way, that’s the retention conversation nobody’s actually having.

📈 OpenAI Expands ChatGPT Ads Platform

OpenAI rolled out a broad set of updates for ChatGPT Ads, adding new targeting, campaign management, AI-assisted creative tools, and expanding advertiser access to more markets.

The Breakdown:

Better Audience Targeting - Advertisers can now upload audience lists using raw or hashed emails and phone numbers, apply bid multipliers, and include or exclude customer segments from campaigns.

New Campaign Management Tools - OpenAI introduced an Overview tab with account health insights, performance trends, and recommended actions, alongside suggested ad drafts that prefill creatives using website metadata.

AI Helps Create Ads - ChatGPT Ads can now generate ad variations from a brand’s website and campaign settings, allowing advertisers to review, edit, duplicate, and publish creatives more quickly.

More Markets, New Formats - ChatGPT Ads are now available in Japan and South Korea, while refreshed static ad cards with larger visuals and a cleaner layout are rolling out across web and mobile.

OpenAI is rapidly building ChatGPT Ads into a more complete advertising platform. The latest updates simplify campaign creation, improve audience targeting, and reduce the work needed to launch and optimize ads while expanding the platform’s global reach.

🏆 Ad of the Day

What Works:

Pastels Signal Premium - The pastel palette immediately communicates calm, gentle skincare and premium positioning, strengthening message-market fit while the contrasting bottles create a clean pattern interrupt in-feed.

Hierarchy Drives Attention - The oversized headline leads the eye quickly, while the layered hands and bottles create depth that improves thumb-stop ratio and keeps attention moving through the creative.

Packaging Builds Recall - Distinctive bottle colors, vertical labels and repeated product shapes make the range easy to recognize, giving the brand stronger visual consistency and better branding recall.

Use product colors as the educational hook, then connect each shade to a specific benefit or emotion. That turns packaging design into persuasive product communication.

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In this newsletter, you’ll find:

😤Price is a design variable

📊 Meta Dropped Below 50% Budget Share, And the Platforms Absorbing That Spend Aren’t Earning It

🏆 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!

😤Price is a design variable

Neuroscience on purchasing shows the brain registers spending money as a genuine small pain, and how sharply a price is presented changes how intensely that pain registers. The number does not have to change for the discomfort to.

Most teams treat price as fixed once the figure is set. The presentation around that figure is a separate lever, and it is almost entirely untested in most stores.

Reduce the visual weight of the moment of payment. Every explicit currency symbol, every bold price treatment, every reminder that a transaction is occurring nudges a browsing shopper toward budget-defense mode.

Audit your product and checkout pages for how many times money is visually emphasized versus simply stated.

Test a lighter treatment on one page: smaller font weight on the price, less currency signage repeated across the page, price shown once clearly rather than restated at every step.

Run it as a genuine A/B split, not a full rollout, since under-signaling price at checkout can backfire by creating surprise at the final total.

Separate the decision to want the product from the decision to pay for it. Add-to-cart should feel like collecting, not committing. Delay the strongest price signaling until checkout itself, where the shopper has already decided and needs clarity, not persuasion.

Test moving price emphasis: minimal on the product grid, moderate on the product page, fully explicit only at cart and checkout.

The goal is matching the intensity of the reminder to the stage where the shopper is actually deciding to spend.

Test friction removal with the same rigor as a landing page redesign. A one-symbol change or a font-weight adjustment sounds too small to matter, which is exactly why almost nobody tests it and why the ones who do often find outsized returns relative to the effort.

Run these as proper statistically powered tests against your existing baseline, not as a permanent swap based on instinct, and measure against revenue per visitor rather than conversion rate alone, since friction changes often shift order value more than they shift the decision to buy at all.

The pattern across all three: painful moments in a purchase are not fixed facts about your pricing. They are design decisions hiding inside pages nobody has audited for exactly this.

📊 Meta Dropped Below 50% Budget Share, And the Platforms Absorbing That Spend Aren’t Earning It

Last week’s environment shifted at the portfolio level, Meta shed meaningful share for the first time in months while CAC deteriorated broadly across high-visibility platforms, forcing a harder look at where reallocated budget is actually landing and whether it’s justified.

The Breakdown:

CPC - Meta and Google saw click costs fall while TikTok, Snapchat, and YouTube pushed higher, where CPCs rose sharply alongside CAC deterioration like YouTube and Snapchat, reduce spend now and wait for costs to stabilize before re-entering at scale.

CAC - TikTok improved strongly while Meta, Google, YouTube, Snapchat, and Pinterest all worsened, TikTok’s CAC improvement despite rising CPCs signals genuine conversion strength; run a controlled budget increase there and monitor whether the efficiency holds above current spend levels.

ROAS - Microsoft led at +18.92% while YouTube (-16.41%), Snapchat (-18.25%), and AppLovin (-7.46%) all collapsed, Microsoft at 0.89% budget share posting the week’s strongest ROAS is a clear underfunding signal; move a test budget in this week before the auction catches up.

Meta fell below 50% share to 49.13% while YouTube, Snapchat, and AppLovin absorbed budget they didn’t earn, all three posted negative ROAS and deteriorating CAC simultaneously.

Redirect that freed spend into Microsoft where ROAS hit +18.92%, and treat TikTok’s +27.72% CvR as the clearest conversion signal on the board, it deserves more budget, not less, heading into next week.

🏆 Ad of the Day

What Works:

Campaign Consistency - Every post follows the same visual system while changing only one core message. This builds instant brand recognition without making the feed feel repetitive or monotonous.

One Benefit Focus - Each creative owns a single “More...” benefit like energy, sweetness, richness, or balance. Narrow messaging is easier to remember than trying to communicate every product advantage at once.

Color Owns Identity - The consistent pink and green palette becomes a brand asset rather than decoration. Even without a logo, frequent viewers can recognize the brand from its colors alone.

Create repeatable design templates where layouts, colors, and typography remain consistent while only the headline and visual concept change. Recognition compounds across every campaign, lowering creative fatigue and strengthening brand recall.

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In this newsletter, you’ll find:

🫠 The Subscription Model Is Quietly Losing Its Best Customers

📈 Marketing Platforms Expand AI Advertising 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!

🫠 The Subscription Model Is Quietly Losing Its Best Customers

The 15% discount that anchors most product subscriptions was designed for a different era of retention economics. It worked when acquisition was cheap enough that a modestly discounted recurring order still penciled beautifully.

With acquisition costs up 40 to 60 percent over two years, the math has shifted underneath the model, and the shift explains a pattern showing up across ecommerce: subscription programs with healthy signup numbers and quietly deteriorating economics.

The mechanism is adverse selection. Discount-anchored subscriptions attract the customers who would have repurchased anyway, and hands them a permanent margin cut for behavior they were already going to do.

Meanwhile the churn curve does its work: subscribers pause, skip, and cancel at rates that mean the average subscription lifespan in many categories no longer covers the discount it granted. The program retains revenue it would have earned at full price and calls it retention.

Paid memberships invert the selection problem. Instead of paying customers to commit, the customer pays for access: early drops, member pricing, exclusive products, free shipping thresholds, community access. The people who opt in are self-selecting as the highest-intent segment of the base, and they behave like it.

Member cohorts consistently show higher order frequency, higher average order value, and dramatically better retention than discount subscribers, because the membership fee itself creates the commitment psychology the discount never did. A person who paid to belong buys differently from a person who is being paid to stay.

The transition test does not require dismantling the subscription program.

Build a membership tier alongside it: a modest annual fee, benefits weighted toward access and experience rather than pure discount, and a founding-member offer to the top 10 percent of your customer file by lifetime value.

Run it for two quarters and compare cohort economics directly: revenue per member versus revenue per subscriber, retention curves, and margin per order.

The categories where subscriptions still genuinely fit are consumable, high-frequency, low-consideration purchases. Everywhere else, the question worth asking this quarter is whether your subscription program is building loyalty or renting behavior your best customers already had. The cohort comparison will answer it with numbers.

📈 Marketing Platforms Expand AI Advertising Tools

OpenAI, TikTok, and Google introduced new advertising features this week, giving marketers better audience targeting, campaign automation, and cross-platform performance insights.

The Breakdown:

ChatGPT Ads Adds Audience Targeting - OpenAI is rolling out Audience Lists in ChatGPT Ads, allowing advertisers to upload hashed or raw emails and phone numbers for customer targeting and more personalized campaign delivery.

TikTok Boosts Streaming Campaigns - TikTok introduced Streaming Ads that match high-intent users with specific streaming titles while Smart+ automates bidding, with 80% of early campaigns outperforming standard non-Streaming campaigns.

Google Tracks Social Discovery - Google is rolling out Platform Properties in Search Console, allowing creators to measure how Instagram, TikTok, X, and YouTube posts perform across Google Search and Discover.

Advertising platforms are increasingly connecting campaign execution with better measurement. From first-party audience targeting to automated optimization and unified reporting, marketers now have stronger tools to improve performance across multiple channels.

🏆 Ad of the Day

What Works:

Customer Before Product - The ad isn’t selling snacks. It’s selling custom packaging that helps brands stand out. Showing finished branded products helps prospects imagine their own packaging instead of an empty template.

Packaging Sells Quality - The vibrant colors, floating ingredients, and premium mockups prove that packaging shapes perceived product value. Attractive presentation can make identical products feel significantly more premium.

Showcase Possibilities - Displaying multiple packaging designs demonstrates versatility without listing customization options. Prospects immediately understand the supplier can accommodate different products, flavors, and brand personalities.

Your packaging is often the first product customers experience. Invest in distinctive colors, typography, and presentation that make screenshots, UGC, and social content instantly recognizable before anyone reads the label

🥳 Events

🔥 Jairo Guerrero, Founder of Organic Hackers, Is Running a Live Teardown of the Crawl to Citation Pipeline

Today | Virtual Event | Free

Most pages that go missing from AI answers fail at one of three technical checkpoints. Jairo has spent years identifying exactly where, and today, he walks through each one live. You leave knowing which structured data and template fixes make pages easier for AI to cite.

✅ Reserve Your Free Spot

Can’t make it live? Register anyway, you’ll get the recordings within 24hours.

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

In this newsletter, you’ll find:

❤️‍🩹Your Page Fell Out of AI Answers at One of Five Stages. Find Which.

🎨 Meta And Reddit Expand Ad Optimization 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 Page Fell Out of AI Answers at One of Five Stages. Find Which.

A page missing from AI answers is not one problem. There are five possible problems with the same symptom, and the fix for each is different. The pipeline runs discovery, crawl, render, extraction, citation, and a failure at any stage kills the outcome. Diagnosing which stage failed is the whole game.

Stage 1: Discovery. The crawler has to know the page exists. Orphaned pages with no internal links, pages missing from sitemaps, and pages buried five clicks deep frequently never enter an AI crawler’s queue at all. Check: Is the page linked from crawled pages and present in your sitemap?

Stage 2: Crawl. Known is not fetched. robots.txt rules, crawl budget spent on parameter duplicates, slow response times, and error codes all stop the fetch. Check: do your server logs show AI crawler requests for this page returning 200s?

Stage 3: Render. Fetched is not readable. Content that loads via JavaScript after the initial HTML does not exist to most AI crawlers. Check: is your core content visible in the raw page source?

Stage 4: Extraction. Readable is not extractable. A page whose key claim is buried in paragraph six, whose headings do not match query language, or whose scope sprawls across a whole category gives the system nothing clean to pull. Check: does a specific, quotable claim appear early, under a heading that mirrors how people ask?

Stage 5: Citation. Extractable is not chosen. At the final stage your content competes with every other source that survived the pipeline, and source authority, freshness, and external validation decide the pick.

The technical stages decide whether you can be cited. The final stage decides whether you deserve to be, and that is a content strategy question. On July 23, AirOps is hosting Cyrus Shepard, who studied 400+ sites to map what actually survives Google’s AI era: the five traits shared by sites still growing, and the 17 content types most likely to survive Google Zero. You can secure your free spot here.

Take one important page that is absent from AI answers and walk it through the five checks in order. The stage where it fails is the only work that matters for that page.

🎨 Meta And Reddit Expand Ad Optimization Tools

Meta and Reddit rolled out new advertising features designed to improve creative performance, with Meta upgrading AI image generation while Reddit makes structured ad testing available to every advertiser.

The Breakdown:

Meta Upgrades AI Creative - Meta’s new Muse Image model can restyle existing ads, generate images from videos, and create on-brand variations by understanding creative briefs instead of relying only on prompts.

AI Creates Interactive Shopping - Muse Image can also redesign a shopper’s room using products from a brand’s catalog, letting users visualize items in their own space before clicking through to purchase.

Reddit Brings Split Testing To Everyone - Reddit has made split testing available to all advertisers, allowing brands to compare two campaign variants in controlled experiments and identify better-performing creatives.

Easier Campaign Experiments - Reddit’s Ads Manager now includes pre-built testing templates that automatically structure experiments, with early testing showing four out of five campaigns successfully identified a winning ROAS variant.

Advertising platforms are shifting from simply generating AI content to improving how creatives are tested and optimized.

The latest updates give marketers more automated ways to produce, evaluate, and refine campaigns before scaling budgets.

🏆 Ad of the Day

What Works:

Ingredient Visualization - Instead of merely listing ingredients, the ad surrounds the bottle with real fruits and greens. Visualizing the recipe makes freshness and quality feel tangible before anyone reads the labels.

Benefit Before Blend - The headline promises “Immune Support & Energy” before introducing spirulina, barley grass, or baobab. Customers buy outcomes first, while ingredients simply justify those promised benefits.

Color Reinforces Category - Every element embraces green, from the background to the bottle and splashes. Consistent color instantly communicates health, freshness, and natural nutrition without relying on extra copy.

Don’t hide your ingredients in fine print. Bring them into the creative with real visuals so customers instantly connect your product with freshness, quality, and authenticity before reading a single feature.

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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:

📊Prime Day Ended June 26. The Rank You Earned Is Already Decaying.

💰 Meta And LinkedIn Expand Their AI Playbooks

🏆 Ad of the Day

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📊Prime Day Ended June 26. The Rank You Earned Is Already Decaying.

Prime Day 2026 closed on June 26 after four days of compressed sales velocity, and every product that ran deals is now sitting on a temporary rank elevation the algorithm granted for event performance.

Temporary is the operative word.

The velocity that earned the position has stopped, the algorithm is watching what happens next, and the sellers who understand the consolidation window are converting event rank into Q3 organic position while everyone else watches theirs drain back to baseline through July.

The mechanism is straightforward. Amazon’s ranking systems weigh recent sales velocity heavily. The event spike lifted your organic position, which increases your visibility, which can sustain sales, but only if conversion volume holds at a level that justifies the new position.

A product that spikes and then reverts to pre-event velocity tells the algorithm the demand was event-driven, and the rank correction follows within weeks. A product that holds even 30 to 40 percent of event-week velocity through July signals durable demand and consolidates much of the gained position into its new baseline.

PPC alone struggles to carry this window because post-event ad auctions stay expensive while conversion rates normalize. External traffic is the more efficient lever, and it carries a structural bonus: converting traffic from outside Amazon receives greater ranking weight than internal traffic, so every external sale during the consolidation window works twice, once as velocity and once as an external demand signal.

Stack Influence runs exactly this motion at the scale the window requires: micro-influencers from a network of 11M+ purchase your product on Amazon and publish authentic content to their audiences, generating a sustained stream of external converting traffic through the weeks that decide whether your Prime Day rank holds. You can sign up this week and save 10% on your first campaign.

The window is roughly four to six weeks from the event’s close, which puts the decision point now, not in August. Pick the two or three ASINs where Prime Day moved rank most, map their current position against the pre-event baseline, and concentrate external traffic there while the algorithm is still deciding what your event performance meant.

💰 Meta And LinkedIn Expand Their AI Playbooks

Meta and LinkedIn rolled out new AI updates this week, with Meta introducing paid access to advanced AI capabilities while LinkedIn expanded its suite of AI-powered tools for marketers.

The Breakdown:

Meta Introduces Premium AI - Meta One Premium unlocks advanced AI features across Meta apps and AI glasses, including unlimited Conversation Focus, alongside premium customer support for subscribers.

Subscription Access Expands - Meta One Premium is reportedly priced at $19.99 per month, giving AI glasses users unlimited Conversation Focus and premium support, while non-subscribers get three hours monthly.

LinkedIn Adds More AI For Ads - LinkedIn introduced AI-powered Brand Kits, copy generation from landing pages, personalized ads using professional profile attributes, and ad variants to create multiple creative options automatically.

Campaigns Optimize Automatically - LinkedIn’s flexible ad creation combines images, videos, and copy into multiple ad versions, then automatically shifts delivery toward the highest-performing creatives as results come in.

Social platforms are moving beyond simply adding AI features. The focus is increasingly shifting toward packaging AI into paid products while using it to automate creative production and campaign optimization for marketers.

🏆 Ad of the Day

What Works:

Benefit Over Ingredient - “Your peanut butter fix” sells the craving instead of the recipe. People don’t wake up wanting non-GMO ingredients. They want satisfying peanut butter that fits their lifestyle.

Clean Choice Signals - The surrounding claims like “No Added Sugar,” “Non-GMO,” and “Gluten Free” answer objections before they’re raised. The product feels like the obvious healthy alternative without lengthy explanations.

Offer Stays Visible - The $16 bundle price sits directly beside the product instead of being hidden below. Buyers can instantly connect the value offer with what they’re getting, reducing purchase friction.

Place your product at the center and arrange key purchase drivers around it. This creates a visual checklist that customers can scan in seconds, making comparisons easier and buying decisions faster.

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🫢Your Dashboard Is Taking Credit For Sales It Never Created

📱 Social Platforms Are Making Content Easier To Create

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What 400+ Sites Reveal About Surviving Google’s AI Overviews

Everyone’s bracing for Google Zero. Cyrus Shepard studied 400+ sites and found the ones still growing share five specific traits.

Zero-click search is real. The “SEO is dead” takes are not the full story.

Cyrus mapped what’s actually driving organic growth right now, plus the 17 content types most likely to survive Google Zero.

On July 23rd, AirOps is hosting Cyrus for a practical session on what every content team is trying to decide: what to keep investing in, what to rethink, and where AI actually helps.

You’ll walk away with:

• The five traits behind sites still growing in Google

• Which content formats still earn their keep, and which are getting harder to justify

• How to turn proprietary assets you already own into content

• Where AI fits now: what to stop producing faster, what to build instead

This webinar is built for everyone, from SEO and content leaders to content directors and growth teams.

Secure your free spot

Can’t make it live? Register anyway and get the recording in your inbox within 24 hours.

🫢Your Dashboard Is Taking Credit For Sales It Never Created

All Meta accounts are optimizing for the wrong outcome.

Switch one campaign to incremental attribution and accept that the reported ROAS will probably fall. It sounds counterintuitive, but that decline is often the first sign the account is becoming more accurate, not less.

Here’s why.

Standard attribution rewards Meta whenever it touches a conversion, even if that customer was already going to buy. Someone had the product in their cart. Someone came back through email. Someone searched for the brand directly. The platform still claims credit.

The algorithm then learns a dangerous lesson.

Instead of finding people who need persuasion, it starts by finding people who were already on their way to purchasing. ROAS looks fantastic while very little incremental demand is actually being created.

Incremental attribution changes that incentive.

Rather than asking, “Did an ad touch this conversion?” it asks, “Would this conversion have happened without the ad?” Only conversions genuinely influenced by advertising receive credit.

That shift produces an uncomfortable pattern.

Reported ROAS often falls, sometimes by 30 to 40 percent, because inflated conversions disappear from the report. Yet many advertisers simultaneously see stronger blended revenue and faster new customer growth because spend is finally reaching people who actually require advertising to convert.

The business improves while the dashboard gets uglier.

That disconnect is exactly what makes adoption difficult.

Instead of rolling it out account-wide, treat it like an experiment.

• Select one campaign with stable spend and clean conversion volume.

• Run incremental attribution for four weeks without changing anything else.

• Then ignore the number everyone usually watches.

Evaluate the test using business metrics instead: total new customers, blended revenue, and marketing efficiency ratio. If in-platform ROAS drops, that’s expected. The purpose of the test is to measure what the ads truly caused, not what they happened to touch.

Before launching, prepare one comparison slide.

Put old reported ROAS beside new customer growth over the same period. When one falls and the other rises, that single chart becomes the evidence stakeholders need to keep the experiment running.

The next generation of winning Meta accounts won’t belong to advertisers with the highest reported ROAS.

They’ll belong to advertisers measuring the customers their ads actually created.

📱 Social Platforms Are Making Content Easier To Create

The latest updates from Meta, YouTube, and TikTok all point in the same direction. Platforms are making it faster to publish, easier to engage, and less dependent on producing polished videos.

The Breakdown:

Meta Experiments With Play - Meta’s new Pocket app replaces a traditional feed with AI-generated, promptable mini games that respond to touch and movement, turning scrolling into a more interactive experience.

YouTube Expands Shorts - Creators can now publish image posts and photo carousels directly into the Shorts feed, complete with up to 15 seconds of music for lightweight visual storytelling.

TikTok Speaks More Languages - TikTok added bilingual captions with automatic translation into more than 14 languages, alongside richer templates, clip locking, and new seasonal audio effects for creators.

The next wave of creator tools isn’t about making bigger productions. It’s about removing friction, making content easier to publish, and giving creators more ways to engage audiences without starting from scratch every time.

🏆 Ad of the Day

What Works:

Third-Party Validation - The Trustpilot rating appears before any product claims because independent reviews carry more credibility than brand messaging. Borrowing external trust reduces skepticism before customers evaluate the product itself.

Handwritten Guidance - The doodle-style annotations make nutritional benefits feel easy to understand instead of clinical. Friendly visual cues simplify complex information and increase the likelihood that people actually read it.

Value Before Price - The creative establishes taste, nutrition, and satiety before revealing the £17.45 offer. Demonstrating value first makes the price feel like a bargain instead of the focal point.

Lead with a trusted review platform, certification, or customer endorsement before presenting your product benefits. Third-party credibility lowers resistance and makes every following claim feel more believable.

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🫢 Not All Traffic Ranks Equally

📊 AppLovin Snapped Back Decisively, And Meta’s Conversion Recovery Changes the Allocation Math

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🫢 Not All Traffic Ranks Equally

Google organic: 1.8x. Email: 1.5x. Social: 1.3x. Paid search: 1.0x. These are the quality multipliers A10 assigns to different external traffic sources when calculating ranking contribution.

The channel that drives the most conversions is not necessarily the one contributing the most to organic rank, and building an external traffic program without knowing these numbers means optimising for revenue while leaving rank lift on the table.

The multiplier logic follows from how the algorithm interprets each source. Google organic carries the highest weight because it represents a buyer who searched independently, found your brand through non-promotional content, and then chose to purchase on Amazon, the strongest possible demand signal in A10’s model.

Email is high because it represents an existing relationship, not a paid placement. Social traffic from creator content sits at 1.3x because it is editorially driven. Paid search receives no multiplier above baseline because the algorithm treats it similarly to internal Amazon ad traffic: purchased visibility, not organic demand.

The practical implication is channel mix, not just channel volume. A brand driving 10,000 external visits per month at 1.8x Google organic weighting is producing substantially more ranking contribution than a brand driving the same volume through paid social at 1.3x, even if the conversion rates are identical. The ranking outcome is determined by what you are driving, not just how much.

Stack Influence sources micro-influencer traffic at the social weighting tier: creators from a network of 11M+ purchase your product on Amazon and post authentic content to their own audiences, driving sustained external converting traffic.

Average platform ROAS sits at 5X and brands have grown monthly Amazon revenue by up to 13X using the channel.. You can sign up this week and save 10% on your first campaign.

The attribution setup that makes this measurable is Amazon Attribution tags applied to each source separately before any external campaign runs.

📊 AppLovin Snapped Back Decisively, And Meta’s Conversion Recovery Changes the Allocation Math

Last week delivered one of the cleaner recovery signals in recent months, platforms that had been deteriorating reversed sharply while costs climbed broadly, creating an environment where the right move is scaling into strength rather than chasing cheaper inventory.

The Breakdown:

CPC - Meta and TikTok saw click costs rise while Snapchat held flat, where CPCs climbed alongside surging CvR like Meta and TikTok, the auction is repricing genuine performance; hold spend and push winning creatives harder rather than pulling back on cost.

CAC - Meta, Google, TikTok, YouTube, and AppLovin all improved while Microsoft and Snapchat worsened, with broad CAC improvement now backed by rising CvR across most platforms, run a 15–20% budget increase on top performers and check mid-week whether gains hold at higher spend.

ROAS - AppLovin led at +13.34% and Snapchat posted +5.65% while Google (-1.35%) and Pinterest (-1.12%) slipped, AppLovin’s full reversal from last week’s -19.91% collapse makes it the most urgent reallocation case; move incremental budget in now before the window reprices.

Meta holds 52.13% of spend with +18.12% CvR and +3.31% ROAS, the first week in three where its share is backed by genuine return improvement. TikTok at 5.28% posted +22.92% CvR and +3.37% ROAS simultaneously.

Scale both with confidence this week, redirect budget away from Microsoft where ROAS dropped -6.01%, and treat AppLovin’s +29.49% CvR recovery as a signal to reopen spend that was paused last cycle.

🏆 Ad of the Day

What Works:

Emotional Equilibrium - Instead of promising brighter skin, the headline sells emotional balance. Connecting skincare with inner calm elevates the product beyond cosmetic benefits into an overall wellness experience.

Nature Mirrors Benefit - The moss, water, and earthy environment visually reinforce restoration without explaining it. When the surroundings embody the promise, the audience absorbs the message faster than through copy alone.

Premium Simplicity - The oversized product, minimal text, and restrained color palette communicate confidence. Luxury brands often say less because clean design itself signals premium quality and credibility.

Choose backgrounds that naturally symbolize your product’s core promise. When the setting visually communicates the benefit, you need fewer words to persuade and the creative feels more memorable.

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🛡️Make your BFCM Bulletproof

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🛡️Make your BFCM Bulletproof

Most brands make one large inventory bet for BFCM based on a summer forecast with no real Q4 data behind it.

When the bet is wrong the cost is a warehouse full of product in January or a stockout on Saturday afternoon of BFCM weekend. A phased system removes the single large bet. These are the five questions that build it.

Which SKUs absolutely cannot go out of stock?

Identify the top 20% of SKUs by revenue. These are the products that, if they stock out during BFCM, will pause the ads pointing to them, reset the algorithm’s learning, and cost you January rebuilding time on top of the lost BFCM revenue. Every other inventory decision is secondary to keeping these products available for the full BFCM period.

What is the exact order deadline for each hero SKU?

Pull the actual production lead time from your supplier for each top SKU at Q4 volume. Map it backward from the last week of November. The output is a specific date for each SKU, not a general “order early” plan. Some of those dates are in the next four to six weeks.

What does demand look like at 2x, 3x, and 5x normal weekly volume?

Run the three scenarios and calculate the inventory required to cover each for the BFCM period. You are not choosing which scenario to order for but mapping the range so the initial buy covers the base case and the second order covers the upside without a perfect forecast.

What specific signals will trigger the second order?

Define the trigger before the initial buy is placed: a pre-BFCM email click-through rate above a set threshold, paid social CTR in early November, first-week November sales velocity on hero SKUs. When the trigger is met, the second order goes immediately. This replaces the summer forecast with real demand data as the basis for the upside buy.

What is the maximum inventory you are willing to hold per SKU on January 1st?

Set this number before you place any order. It is the ceiling that stops the October panic buy when demand signals look strong and the instinct says order everything you can. Without the ceiling set in advance, the phased system collapses into the single large bet it was designed to replace.

🏆 Ad of the Day

What Works:

Against Trend Positioning - “Built around skin function, not hype” positions the brand against an industry obsessed with viral ingredients. Creating an enemy helps differentiate without mentioning competitors directly.

System Over Product - Displaying multiple products together shifts attention from buying one item to adopting a complete skincare routine. Systems increase perceived expertise and naturally raise average order value

Education Builds Trust - Instead of listing flashy actives, the copy explains how healthy skin actually works. Teaching customers something valuable makes the brand feel more credible than simply making claims.

Don’t just promote what your product does. Lead with the belief behind your brand. A strong philosophy attracts customers who align with your values, making comparison on price far less important.

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🫠Your Product Page Is Under-Imaged

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🫠Your Product Page Is Under-Imaged

The average fashion brand PDP has four to six images. Conversion data across ecommerce categories consistently points to eight to twelve as the performance window.

That gap is not a design oversight. It is a shoot budget decision made upstream that shows up as a conversion problem downstream, and most teams never connect the two because the shoot budget lives in one spreadsheet and the conversion rate lives in another.

1. Audit Your Current Image Stack Against What Each Type Does

Every image type on a product page has a specific job. Lifestyle imagery establishes context and aspiration. Size reference imagery, on-body, with measurements, alongside a familiar object, reduces fit hesitation, the single largest driver of return rates in fashion.

In-use imagery shows the product in the environment it was designed for. Technical and detail imagery answers the comparison question for buyers who are already sold but need one more confirmation. Most PDPs have lifestyle and one or two product shots and nothing in between. The missing types are the ones doing the conversion work.

2. Identify What Is Missing and Why the Shoot Could Not Cover It

Once the audit is done, the gaps become visible: body-type variants missing across the size range, size reference photography absent from the stack, no channel-specific cuts for paid or organic. These are not oversights.

They are variants a single shoot could not produce within its budget and timeline. The production economics of traditional photography ration what can be made, and the PDP inherits whatever survived that rationing.

3. Build the Image Depth the Conversion Data Calls For

Dreem turns one product upload into model shots across 400+ virtual talents covering every body type, age, ethnicity, and size, front and back product shots, and video output for PDP, paid, and organic. The image types the audit identified as missing become the first assets generated.

You can sign up before July 30 and get 600 bonus credits, enough for 50 full per-segment kits on your top SKUs.

Once image depth exists, sequencing determines performance. Buyers enter a PDP with a question. The first image establishes context. The second and third reduce fit hesitation. The closing images close with proof: detail, quality, social validation. Sequencing is only available when enough image types exist to sequence.

🏆 Ad of the Day

What Works:

Playful Brand Voice - The handwritten doodles transform sunscreen from a medical necessity into a fun summer companion. This emotional shift makes daily protection feel enjoyable instead of another skincare chore.

Moment-Based Positioning - The beach backdrop instantly anchors the product to a real-life use case. Showing sunscreen where it’s needed helps customers imagine carrying and applying it in that exact moment.

Small Size Advantage - Instead of treating the small tube as a limitation, the creative reframes portability as a benefit. “Beach bag essential” turns convenience into a compelling purchase reason.

Add playful annotations, sketches, or handwritten notes around practical products. Personality makes even routine items feel more relatable, memorable, and shareable on social platforms.

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✉️ The Segmentation Ceiling Nobody Tells You About

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Together with Dreem

Every SKU needs 60 assets. You’re making two.

One model, one lighting setup, one PDP shot, and you call it done.

Here’s the actual math: 4 segments × 5 channels × 3 formats = 60 assets per SKU. At $5K a shoot, most brands make a handful and call it a launch. The other 50+ never get shot - so your paid team recycles the same three creatives for a year.

Dreem makes the other 58.

Upload one product image and get model shots across 400+ virtual talents covering every body type, age, ethnicity, and size, product shots front and back, and video ready for your PDP, paid and organic.

Different looks, different styles, different audiences, all from one upload.

Your customers aren’t all the same. Your content probably looks like it thinks they are.

Sign up before July 30 and you get 600 bonus credits, enough for 50 full per-segment kits on your top SKUs.

Claim your 600 free credits

✉️ The Segmentation Ceiling Nobody Tells You About

Every email platform sells personalization as a feature. What they don’t tell you is that the ceiling on how personal you can get was set the moment someone joined your list, and if that moment was a 10% off popup, the ceiling is lower than you think.

A subscriber acquired through a generic offer enters your ESP as an email address and nothing else.

Everything you learn about them from that point comes from behavioral inference:

what they open, what they click, what they buy.

That inference takes months to accumulate into anything useful, and for the majority of subscribers who never open more than two emails, it never does. You end up sending to a list you cannot actually see.

Zero-party data changes this structurally, not incrementally.

A quiz funnel that asks five questions before capturing an email writes those answers as profile properties the moment the address hits the platform.

Skin type, routine length, primary concern, budget range, experience level, whatever is relevant to your product. The welcome flow doesn’t have to guess. Email one already knows.

Klaviyo’s benchmark data shows segmented lists returning more than 3x the revenue per recipient of unsegmented ones.

The brands hitting that multiplier didn’t get there by running better campaigns. They got there by making sure their capture mechanism produced data, not just contacts.

The irreversible part is what makes this worth understanding. A list built on zero-party data compounds in accuracy over time.

Every purchase, every click, every survey response adds resolution to a profile that started with real answers.

A list built on discount capture compounds in the opposite direction, the longer it runs, the more it fills with lapsed subscribers whose only known attribute is that they once wanted 10% off.

No segmentation strategy fixes that retrospectively. The data that wasn’t collected at signup doesn’t exist anywhere to be retrieved.

If you want an ESP built to act on zero-party data the moment it arrives rather than warehouse it, Omnisend connects directly to ChatGPT and Claude so your AI can build flows from live account data rather than static segment logic, and migrates your existing setup for free in five days. You can connect Omnisend to your AI now

The capture mechanism isn’t a top-of-funnel detail. It is the hard constraint on everything your email program can ever know about the people inside it.

🏆 Ad of the Day

What Works:

Lifestyle Placement Context - The product isn’t displayed on a shelf. It’s placed inside a handbag among everyday essentials, subtly communicating that it belongs in the user’s daily routine, not just skincare rituals.

Question Sparks Imagination - “What’s in your bag?” invites people to mentally compare their own essentials. The audience naturally imagines replacing or adding the product, increasing personal relevance before any selling begins.

Environment Reinforces Value - Luxury accessories, warm lighting, and premium styling elevate the product’s perceived quality. The surrounding objects quietly transfer sophistication and desirability without making explicit premium claims.

Instead of isolating your product on a plain background, place it inside the environment where customers naturally use it. Showing the product as part of everyday life makes ownership feel effortless.

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🫠Google Says You’re First Place

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🫠Google Says You’re First Place

You need two separate measurement systems. Not one updated to include AI, but two distinct tracks running simultaneously, one for organic rankings, one for AI citations, because they are now measuring visibility in different systems that produce different results from the same query.

Here is why that conclusion is the correct one.

Citation overlap between Google’s top ten organic results and what appears in AI Mode answers sits between 17% and 54% depending on the category.

In most verticals, a page that ranks well has a coin-flip probability of also appearing in the AI answer to the same query. A page that does not rank at all can appear in AI answers regularly if its content structure matches what AI retrieval systems are optimised to extract.

The two lists are related but divergent, and they diverge in specific, learnable patterns, source type, claim extractability, heading alignment, scope, rather than randomly.

The measurement implication follows directly from the data. For rankings, Search Console and standard position tracking already cover what you need.

For citations, the process is currently manual: a weekly query set across your top 30 to 50 commercial intent keywords, run through AI Mode, with documentation of which sources appear, how frequently, and in what framing. That log, maintained over four to six weeks, gives you a citation baseline.

The two datasets are then compared monthly.

• Where ranking is high and citation is low, the content architecture needs structural work.

• Where citation is high and ranking is low, there is citation equity on the page not being leveraged for organic performance.

Both conditions have different remedies and neither is visible if you are running only one measurement track.

On July 9, AirOps is hosting Jairo Guerrero, Founder of Organic Hackers, who has spent years inside server logs watching how AI crawlers actually behave. The session covers the first technical checks to run when pages go missing from AI answers and exactly where they break in the crawl-to-citation pipeline. You can secure your free spot here.

The starting priority within the citation track is decision-stage and comparison queries. AI Mode generates recommendation responses most actively on commercial intent queries, and citation on those queries has direct revenue impact. Informational citation builds awareness.

Decision-stage citation influences buyers ready to act. Start the measurement there before expanding to the full keyword set.

🏆 Ad of the Day

What Works:

Reverse Psychology Hook - “Don’t Buy This Serum” interrupts scrolling because it contradicts advertising expectations. The curiosity gap forces people to read the second line, where the actual sales message begins.

Objection Becomes Desire - The follow-up immediately flips resistance into aspiration: “Unless you want clear, stable skin.” The ad transforms a negative statement into a positive outcome without feeling overly promotional.

Minimalist Benefit Stack - Three simple benefit icons replace long ingredient explanations. Showing barrier repair, hydration, and under-eye care communicates value within seconds, matching fast social media attention spans.

Start with an unexpected statement that creates curiosity, then resolve it immediately with the desired outcome. Pattern interruptions outperform predictable promotional headlines because they earn the second glance.

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🎰20 ads, 3 delivery slots

📊 TikTok Posted a Historic CTR Spike But the Conversion Side Didn’t Show Up

🏆 Ad of the Day

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🎰20 ads, 3 delivery slots

The reason your creative refresh isn’t working isn’t creative quality. It’s that you’re feeding Andromeda thirty ads that look like one.

Meta’s retrieval engine reads the visual structure, hook format, and narrative arc of every creative you upload and assigns it an Entity ID. When two or more ads share enough of those signals, they don’t compete for different audiences.

They compete against each other for the same one. You’ve paid for twenty delivery slots and received three.

Run the Concept Audit Before You Brief

Most accounts in trouble here pass the volume test (15–20 active creatives) and fail the diversity test. Before your next creative sprint, audit your live library against four variables: persona, angle, offer, and format. Change one of those four and you have a new concept.

Change only the caption or the button color and Andromeda collapses both into the same Entity ID regardless.

Meta has quietly rolled out a Creative Similarity Score in Ads Manager. Keep it under 40%. Scores above 60% trigger retrieval suppression and your spend quietly consolidates onto whichever asset the algorithm picked as the representative, while the rest go dark.

Structure Your Worlds Before You Produce

The fix isn’t more creative. It’s structural separation before a single frame is filmed. Map your brief across three creative worlds: founder story, product demo, and social proof.

Each world should differ at the visual, audio, and narrative level, not just the copy. A talking head with different copy and a talking head with a product close-up are still the same world.

If producing across three genuinely distinct worlds feels like a bandwidth problem, it is. One creator briefed well inside Insense can deliver 20+ raw footage clips across formats inside 14 days, giving you enough source material to build real world separation without spinning up three separate productions. You can book a free strategy call to get $200 for your first campaign.

Rebuild Your Refresh Logic

You’re not replacing underperforming ads. You’re replacing Entity IDs. When a world fatigues, the replacement needs to be a genuinely new concept in that world, not another variation of the ad that already saturated its audience pool.

The accounts seeing 20–35% ROAS lift post-Andromeda aren’t producing more. They’re producing differently.

Your creative library is a targeting system now. Brief it like one.

📊 TikTok Posted a Historic CTR Spike But the Conversion Side Didn’t Show Up

Last week’s environment was defined by a sharp disconnect between engagement signals and actual returns, click-through rates surged on several platforms while conversion rates and ROAS deteriorated broadly, making surface-level efficiency metrics particularly misleading this week.

The Breakdown:

CPC - Meta, Google, TikTok, Snapchat, and Pinterest all saw click costs fall while AppLovin and YouTube pushed higher, where CPCs dropped sharply but CAC worsened like Meta and Pinterest, don’t expand budgets; reallocate toward platforms where both metrics moved in the right direction.

CAC - YouTube, Google, TikTok, and Snapchat improved while Meta, AppLovin, Microsoft, and Pinterest worsened, on improving platforms, run a controlled 15–20% budget increase this week and monitor whether CAC holds before committing to a full shift.

ROAS - TikTok posted +1.74%, and Snapchat held at +5.05% while AppLovin collapsed at -19.91% and Pinterest dropped -13.90%, freeze AppLovin and Pinterest spend immediately and redirect into Snapchat and TikTok where returns are holding despite broader pressure.

Meta holds 53.51% of spend with -8.85% ROAS and -11.48% CvR, two consecutive weeks of deterioration at majority share is a structural problem, not a blip.

Cut Meta’s incremental budget by 10–15% this week, move it into YouTube where CvR jumped +11.97%, and treat AppLovin’s -19.91% ROAS as a full pause signal until the channel shows a recovery floor.

🏆 Ad of the Day

What Works:

Statistic Stops Scroll - The oversized “86%” dominates the layout before the product even registers. Quantified outcomes create immediate credibility and make the audience curious enough to keep reading the supporting claim.

Problem First Messaging - The ad opens with “Bloated? We got you.” before introducing the solution. Leading with the customer’s pain makes the product feel like an answer rather than another supplement

Evidence Reinforces Trust - The small clinical research disclaimer quietly supports the headline without distracting from it. Strong claims backed by visible evidence reduce skepticism and strengthen purchase confidence.

Instead of opening with product features, highlight one compelling customer outcome backed by a statistic or study. Make the result the headline and let the product explain how it happens.

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