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In today’s newsletter,
252 Micro-Influencers. No Cash. 10× Sales.
Gift recipients convert 3x higher. You don't even know who they are
How Props Luggage built a product people didn’t know they needed
Shop app warning: Fake stores impersonating real businesses
How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads
AI Launch Codes: You type slower than you think
This issue takes 2 minutes to read.
Check out our DTC tool stack here
Let’s dive into it👇
Influencer Marketing
252 Micro-Influencers. No Cash. 10× Sales.
Naked Sunday was stuck: low velocity, buried in Amazon search, barely any reviews. They activated 252 micro-influencers through Stack Influence — creators who actually purchased the product on Amazon, tried it, and posted authentic UGC. No cash fees. Just product.
4 months later: 10× monthly sales, jumped 25,000 spots in Beauty & Personal Care rankings, 1.4M social impressions, and 57 organic product testimonials.
The model is simple — influencers buy your product with their own Amazon accounts, generating real purchase velocity that the algorithm rewards. You keep the UGC rights, the ranking boost, and the review momentum. Brands like Magic Spoon, Unilever, and MaryRuth Organics use it to hold page-1 positions.
Conversion
Gift recipients convert 3x higher. You don't even know who they are
Around 12% of orders across DTC brands are gifts.
Most brands have no idea who received them.
No name. No email. No follow-up. The package ships to someone who just had a brand experience — someone who opened a product, used it, and either loved it or didn't — and the brand gets nothing. No signal. No relationship. No second sale.
Nick Kennedy, co-founder of Giftnote, put the number on it: gift recipients convert at 3x the rate of a normal customer. Their AOV runs about 30% higher.
The default thinking is "well, they're not our customers." But that's exactly why this opportunity exists. Every other brand is thinking the same thing.
Gifting volume doubles in November and doubles again in December. If 12% of your orders are gifts year-round, that's a significant slice of traffic that currently disappears into a black hole.
The fix isn't complicated. It's a capture step most brands skip entirely.
What you need:
1. A gift recipient capture flow
When a customer checks out with a gift option, collect the recipient's email at the point of purchase. Not optional, not buried — part of the standard gift checkout. The buyer wants the recipient to get a good experience. Frame it that way.
2. A post-delivery sequence
3 emails, triggered after estimated delivery:
Day 1: "Hope you're enjoying your [product]" — no sell, just a warm introduction to the brand. Include care instructions or usage tips. Make it feel like it came from the brand directly.
Day 7: One piece of proof. A customer result, a review, a before/after. Something that makes them feel good about what they received.
Day 14: First purchase offer. A specific discount, not a generic "10% off." Something like "first-time customers get X" — acknowledge they're new, make the first step easy.
3. The GDPR note
Transactional messaging to gift recipients is GDPR-compliant as long as it's tied to the order they received. The welcome sequence above qualifies. Marketing emails after that require explicit opt-in — build that into the Day 14 email.
That's the full workflow. Three emails, one capture step, and you've turned a segment that previously disappeared into a warm audience that converts at 3x your baseline.
Action Summary:
Check your checkout: does it collect gift recipient info? If not, that's the first fix
Build a 3-email post-delivery sequence (welcome, proof, first purchase offer) triggered by estimated delivery date
Set the Day 14 email to include an explicit opt-in for future marketing
Run this as an always-on automation — gifting isn't just Q4, it's 12% of your orders year-round
Credit: Will Laurenson
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Let us know by simply replying to this email, and we’ll have an expert reach out to you and answer that, and you can also expect to receive some helpful resources.
Pod bites
How Props Luggage built a product people didn’t know they needed
In this podcast episode, Maggie Gerth, founder of Props Luggage, shared how she turned a small, overlooked frustration into a scalable product.
The problem was simple: luggage sitting on dirty hotel floors because there’s never enough luggage racks.
Instead of accepting it, she built a suitcase with its own leg system.
But what made this interesting wasn’t just the product. It was what happened after launch.
Customers started using it in ways she didn’t expect. At airport gates as a desk. For meals. For work. The product expanded beyond its original use case through real-world behavior.
The bigger lesson came on the business side.
Maggie spent years perfecting the product, but realized too late that distribution requires just as much time, effort, and money.
Early traction came from doing everything: Google Ads, retail placements, trade shows, local media, and scrappy PR.
Now, for their next product, they’re using Kickstarter to access a built-in audience that actively looks for innovative products.
Actionable step:
Don’t just build a product. Build the distribution system alongside it.
Validate demand early, invest in marketing before launch, and treat your go-to-market strategy as seriously as your product development.
🎧 Watch the full episode
Pssst…by upgrading to AI Launch Codes, you can unlock $195 worth of Magicals for free
Scam Alert
Shop app warning: Fake stores impersonating real businesses
If you’re using the Shop app, you should be cautious – a new scam has emerged where fraudsters are impersonating legitimate businesses.
These fraudsters create stores on the app that look identical to real stores, using the same name, contact information, and product lineup. This makes it nearly impossible for customers to distinguish between the real store and the fake one.
One shopper found this out the hard way when they bought from a fake store, then called the real store to find out they’d been impersonated.
Unfortunately, there wasn’t much the real business could do about it.
Even worse, it appears that the Shop app isn’t removing these fraudulent stores, despite being reported by both customers and businesses.
If you're shopping on the Shop app, it’s a good idea to double-check store details and reach out to the business directly if something feels off.
Source: Reddit
How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads
The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.

You type slower than you think
The average person types 40-60 words per minute. The average person speaks 130-150 words per minute.
That gap, 2x to 3x, is sitting unused every time you type an email, a Slack message, a brief, or a doc.
If you spend 2 hours a day writing, voice dictation gives you back 60-90 minutes. Every day.
The problem with every dictation tool before now: the output was unusable. Filler words everywhere. Wrong punctuation. Missed names. You spent as much time fixing it as you saved typing it.
This app solves the cleanup problem. It runs on OpenAI's Whisper model and processes everything in real time by stripping filler words, auto-adding punctuation, and using context to spell uncommon names correctly. The text that appears is already clean. No editing pass required.
Three things make it different from every other voice tool:
1. It works in every app. Notion, Gmail, Slack, Google Docs, WhatsApp, your browse. Basically, anything with a text field. You don't switch tools. You just start speaking wherever your cursor is.
2. Whisper mode. If you're in a coffee shop or an open office and don't want to speak out loud, you can whisper. It still picks it up and transcribes it accurately. This removes the last excuse for not using voice in public.
3. Real-time correction. If you mis-speak, you can correct it in your next sentence and Flow adjusts. "Actually, make that 30 days, not 14" — it backtracks and fixes it. No manual edits.
The math is simple. You're already spending time writing. The question is whether you want to spend 2 hours doing it or 45 minutes.
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