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In today’s newsletter,
Learn how Dress for a Night runs their store's ads in 5 minutes a week with Blend AI
Does your product actually fit YouTube ads?
Why your best content still isn't showing up in AI search
Your analytics can't see this problem
While You Were Building
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AI Launch Codes
Learn how Dress for a Night runs their store's ads in 5 minutes a week with Blend AI
Roxy is the founder of Dress for a Night, a Shopify fashion brand. Like a lot of teams, they tried running ads in-house, got stretched thin, handed them to an agency, then watched the fees climb without the control they wanted. So they switched to Blend.
Blend is an AI media buyer built for ecommerce. Connect your store and ad accounts, upload your creative, and it runs your campaigns across Meta, Google, TikTok, YouTube and Microsoft.
The AI is always on, moving budget toward whatever is winning right now and refreshing audiences and creative around the clock, so nothing sits stale waiting for a weekly optimization pass.
For Roxy's team, that means the same growth they were chasing, the agency costs gone, and only 5 minutes a week actually touching their ads.
Brands that spread spend across channels with Blend see a 36% drop in CPA, and Blend has driven over $1bn for 300+ brands in 20+ countries.
If you've ever felt stuck choosing between doing ads in-house and handing them to an agency, there's a third option now.
PS - Book a demo through DTC Daily & get 50% off your first month.
YouTube
Does your product actually fit YouTube ads?
Native ran YouTube ads for six years and grew fast on it. The reason: a $12 deodorant people rebuy every month or two. People keep buying, so each customer is worth a lot over time, and that's what made YouTube pay off.
Most brands aren't built like that.
According to Brett Curry of OMG Commerce, who runs YouTube campaigns for major DTC brands, here's what to look for.
1.Will customers buy from you more than once, or is your price tag high enough to justify a longer sales process?
Subscriptions and repeat-purchase products work well. So do bigger-ticket items where people take their time deciding. A cheap, one-time purchase usually isn't worth it unless you can run a lot of ads.
2.Can you actually show your product in a video?
Curry pointed to detergent, soap, and sunglasses brands that work because there's something to demonstrate, not just describe.
3.Don't expect cheap numbers right away.
Conversion campaigns usually cost $50 to $100 per sale inside the YouTube dashboard. That looks expensive compared to other platforms, but it's misleading.
One haircare brand found that for every sale YouTube got credit for, they got two more sales on Amazon that never showed up in the dashboard. If you only look at the YouTube number, you'll think it's failing when it's actually working.
Action Summary:
Ask: do customers buy from me again, or is my price high enough to justify it? If not, YouTube probably needs more spending than makes sense right now.
Picture a short video of your product. If a photo would work just as well, hold off on YouTube.
Track branded searches on your own site and on Amazon, not just inside the YouTube dashboard.
Expect to pay $50-100 per sale in the dashboard. Treat that as normal, not as a sign to quit.
Credit: Steve Chou
AI Visibility
Why your best content still isn't showing up in AI search
A few years ago, ranking meant building a strong page around a phrase.
"Best sunscreen for sensitive skin." Write one great guide, target that keyword, done.
That's not how people search anymore.
They type the actual question: "best sunscreen for sensitive skin that doesn't pill under makeup and won't break me out."
And the AI doesn't run one search. It pulls from multiple sources to piece together an answer.
Marketing consultant Neal Schaffer has a useful way to frame the shift.
Long tail is targeting many specific, lower-volume search phrases instead of a few broad, high-competition ones, standard SEO practice for years.
What he calls the long-long tail is the further explosion of that idea in AI search: people type full, specific questions instead of phrases, making the number of possible queries effectively infinite.
If you don't have that surface area, the AI has nothing to retrieve from you. It finds the competitor who answered the specific question instead.
Action Summary:
Open your single best-performing page or guide (the one that gets the most traffic or backs your main product).
Write down the 3-5 broad topics it covers in one sentence each.
For each topic, write down 3-5 specific questions a real customer might type into ChatGPT about it. Use exact phrasing, including their context and preferences, not just the keyword.
Check whether your page actually answers each specific question, not just the general topic. If it doesn't, that's a gap.
Pick the 3 gaps that feel most likely to come up, and write a short, direct answer for each, one paragraph is fine, to add to that page or publish as its own short piece.
Credit: Neal Schaffer
HubSpot AEO
Picture this. A buyer opens ChatGPT and asks for a recommendation in your category. Your competitor's name comes up. Yours doesn't. And that buyer never makes it to your website.
That's happening right now in markets everywhere. And most teams don't know it's happening because it never shows up in their analytics.
HubSpot AEO shows you exactly where your brand stands in AI search, where competitors are getting recommended instead of you, and tells you specifically what to fix. No expertise needed.
Try it free for 28 days. Just $50 a month after.
While You Were Building
1. Unilever activates 50,000 creators for World Cup
The CPG giant is running drops at 'a Super Bowl every two days' pace, paired with host-city pop-ups. Creator volume, not creative polish, is the new top-of-funnel benchmark.
via Digiday • Read more
2. Walmart reportedly closes billion-dollar streaming deal
Retail media networks are pushing into streaming, with Walmart's reported billion-dollar transaction the largest signal yet. Shopper data is being pitched as the proof TV ads convert.
via Modern Retail • Read more
3. TikTok Shop becomes a cross-border channel
Nex Playground, K-beauty's MBX, and luxury resaler Fashionphile are using US TikTok Shop traction to seed international launches. The platform is now an export vector, not just a domestic discovery surface.
via Modern Retail • Read more
Your Shopify Store Should Tell You What To Fix Every Monday
Every Monday, I want Shopify to answer one question:
What should I fix first?
Not what happened. Not which metric looks weird.
What should I actually do this week?
This is where almost every single dashboard fails.
Shopify can show you revenue, sessions, conversion rate, AOV, top products, abandoned checkouts, discounts, and traffic sources.
But it will not rank the work.
So you still end up doing the founder version of analysis:
open Shopify
scan the dashboard
notice three numbers moved
wonder which one matters
check a few products
get distracted
make a guess
That is not a system.
That is Monday morning dashboard roulette.
The better version is a weekly fix memo.
A short ranked list of what changed, why it matters, and what to fix first.
Something like this:
That is the shift.
A dashboard tells you what happened.
The Monday Fix Memo tells you what to fix first.
The paid section below gives you the exact scheduled task:
what data to pull
the master prompt
the output format
the weekly loop
the rules that keep it from becoming generic AI slop
The Monday Fix Memo
The goal is to turn Shopify into a weekly operator.
Every Monday, your AI checks the same store signals and gives you a ranked fix list.
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