Most online stores measure success in orders and revenue. Neither tells you whether anyone would actually miss you. A first purchase can be curiosity, a discount code, or a gift someone else picked out. A second purchase, paid at full price, with nobody chasing them for it, is a real signal.

The benchmark is still 40%. The art is deciding which purchase actually counts.

Is the PMF benchmark different for e-commerce? No, it's still 40%. What's different is that you measure it among repeat buyers, not everyone who's ever checked out.

Who counts as an engaged user in e-commerce

An engaged e-commerce customer is a repeat buyer, someone who's purchased more than once in the last six to twelve months, at full price, without a win-back email or a discount code pulling them back in. First-time buyers and one-and-done customers aren't a PMF signal yet. They're an acquisition story, or an onboarding one, and a different problem to solve.

The trap that inflates e-commerce scores

Discount-driven purchases, first-order codes, referral credits, gifted items, get you a customer without proving anyone wanted the product on its own terms. Survey everyone who's ever bought once, deal-hunters and gift recipients included, and you'll get a number that flatters you and tells you nothing about whether your product earns a second look without being paid for.

In e-commerce, the second purchase is the real survey. The first one is just an introduction.

What "very disappointed" means without an app to open

Unlike software, an e-commerce customer can't lose access to your product overnight. They simply stop reordering. So frame the Sean Ellis question around the outcome instead of the login: "How would you feel if you could no longer buy this from us?" A genuinely disappointed answer here usually means the product replaced something else in their routine, a supplement, a skincare step, a go-to gift, not that they liked the packaging once.

How to measure PMF for an e-commerce brand

E-commerce PMF isn't about how many people bought once. It's about how many would notice if you disappeared from their routine, and whether that number is growing.

Measure your fit, find your ICP, track the trend

PMFtracker runs the Sean Ellis survey on your engaged users, scores you against the 40% benchmark, surfaces your ICP from the open-ended answers, and tracks the trend over time.

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