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Good morning!

In today’s newsletter,

  1. How brands are hitting page 1 on Amazon in 60 days

  2. Your ads are only talking to one type of customer

  3. The cheapest customer you'll ever get

  4. Your boss will think you’re an ecom genius

  5. While You Were Building:

    1.Amazon will run your supply chain — without being a seller

    2.Made In lands in Williams-Sonoma

  6. AI Launch Codes: Your Customers Already Wrote Your Next 10 Ads

This issue takes 2 minutes to read.

Check out our DTC tool stack here

Let’s dive into it👇

Influencer Marketing

How brands are hitting page 1 on Amazon in 60 days

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Meta

Your ads are only talking to one type of customer

Loop earplugs could have run one ad. "Block out noise. Buy earplugs."

Instead they built separate ads for five totally different people. Concert-goers. Remote workers. Parents. People at loud networking events. Fitness people who can't sleep.

Same product. Five different people buying it for five different reasons.

They're currently running hundreds of active ads across all of these.

This matters because most founders write one ad for one type of customer and wonder why growth stalls.

You can only spend so much money on one audience before it gets expensive. But if five different types of people have a reason to buy your product, that's five different groups you can spend against.

Go look at your product. Who else buys it besides your main customer? Don't think about age or gender. Think about situations. What was going on in their life when they needed what you sell?

Action Summary:

  • Write down who currently buys your product

  • List 3 situations or problems that lead someone to need it

  • Write one ad for each situation — speak to that specific person only

  • Run each as a separate ad, don't mix them

Retention

The cheapest customer you'll ever get

Most founders treat every sale like the finish line. Ship the order, run more ads, find the next person.

Bain & Company found that a 5% increase in customer retention can grow profits by 25% to 95%.

You're paying Meta to find strangers who've never heard of you, while ignoring people who already gave you their credit card.

And here's the thing — once someone buys from you twice, they're twice as likely to buy a third time. Every repeat order compounds.

Action Summary:

  • Pull your customer list and filter for one-time buyers from the last 6 months

  • Send them one email this week with a reason to come back

  • Set up a post-purchase sequence that follows up 30 and 60 days after the first order

  • Track how many convert to a second purchase — that's the number to grow

Your Boss Will Think You’re an Ecom Genius

Optimizing for growth? Go-to-Millions is Ari Murray’s ecommerce newsletter packed with proven tactics, creative that converts, and real operator insights—from product strategy to paid media. No mushy strategy. Just what’s working. Subscribe free for weekly ideas that drive revenue.

While You Were Building

Amazon will run your supply chain — without being a seller

Amazon opened its Supply Chain Services portal to companies that don't sell on Amazon. Fulfillment, freight, and warehousing, decoupled from the marketplace.

via Modern RetailRead more

YOUR CUSTOMERS ALREADY WROTE YOUR NEXT 10 ADS

“Stop mixing it with water. Seriously.”

That is a better ad hook than 90% of what AI gives you when you ask it to write Meta ads.

Because it does not come from a product page.

It comes from customers.

Most founders ask ChatGPT or Claude to write ads from their website, Amazon listing, or product description. So the output sounds like a cleaner version of the same brand copy.

Better ingredients. Daily nutrition. Easy routine. Premium formula.

The stronger angles are usually buried in reviews, complaints, support tickets, Reddit threads, and customer emails.

That is where people say what they actually felt before buying, what almost stopped them, what disappointed them, and what made the product finally click.

It starts by pulling real customer reviews directly from Amazon.

Then I had Claude turn those reviews into a voice-of-customer report.

A ranked analysis of the patterns that showed up most often, the emotional intensity behind them, and which themes could become ads, PDP fixes, or retention plays.

This is just small snippet. The full report is 20 pages

The obvious finding was taste.

But the useful finding was more specific.

People mixing IM8 with water kept calling it bitter, chalky, sour, and “Flintstone vitamins.”

People mixing the same product into smoothies or juice described it completely differently.

Same product.

Different use case.

Different customer experience.

That turned into a real ad angle:

That hook works because it does something most AI ads do not.

It interrupts.

A brand telling you not to use the product the obvious way creates tension. It makes the customer pause. And it reframes a weakness, taste complaints, into a usage education angle.

That is the point.

Your next ad angle probably is not hiding in a better prompt.

It is hiding in the words your customers already wrote.

The exact review scraper, voice-of-customer prompt, intelligence report, and 10-angle ad generator are below for AI Launch Codes subscribers.

P.S If you don’t have reviews, just use your direct competitors reviews. You will get a sense of what customers in your category want.

Here Is The Complete Workflow

Step 1 - Scrape reviews

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