The FatCat score · D2C and e-commerce brands

The marketing score for D2C brands.

You told us your channels, your order value and what a customer costs you. We read your Instagram, your Meta ad account and your storefront, and score the two against each other.

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What we read

What the score settles

  1. 01Whether the acquisition cost you quoted survives contact with your own ad account.
  2. 02Whether the posting rate you described is the posting rate your feed shows.
  3. 03Which of your channels is actually carrying the orders, and which is a line in a form.

What you get

A score out of 100 and the seven vitals under it: keystone, economics, retention, resilience, measurement, positioning and acquisition engine. The money leaking, priced from your own figures. Where what you told us and what we read disagree, the disagreement named, your words quoted exactly, and which side the evidence is on. Then a plan: what to do now, what next, what later, and the one number that will prove each move worked. Do what it says, come back, re-score.

Questions D2C and e-commerce brands ask

I sell on Shopify and run Google ads, not Meta. Does it still work?
Yes. The questionnaire covers every channel. We read Meta directly today; for Google, Shopify or anything else you send an export and it is read the same way and scored the same way.
How is the score calculated?
By arithmetic, not by a model's opinion. Your answers and what we read from your accounts go into a fixed scoring law, so the same inputs always produce the same number. The writing around the score is AI-assisted; the score itself is not.
What if I do not track something?
Then say so. "I don't track this" is a first-class answer. The report lists it as unknown, tells you what knowing it would be worth, and names the number to start writing down.

What's your FatCat score?

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