Growth & Marketing

What retention benchmark should I actually aim for at pre-seed, and how do I know if my numbers are bad?

A starting point

There's no universal number: a daily-use consumer app lives or dies on D30 retention above 20 to 30 percent, while a B2B tool people open weekly is judged on month-2 logo retention closer to 85 to 90 percent. The honest signal is whether your retention curve flattens at all, a curve that keeps sliding toward zero means you have no product-market fit yet, no matter the headline number. Start by picking the right time window (daily, weekly, monthly) for how often your product is genuinely meant to be used, then compare cohorts against themselves over time, not against someone else's blog post.

Go deeper

Hand-picked from around the web, each with a note on why it earns your time.

3 resources 3 link-checked Read Use

Read

✍️ Essay
✓ Link checked Free Intermediate

Why we picked it The real signal of product market fit is not a headline retention number, it is whether your cohort retention curve stops falling and flattens into a stable base of users who keep coming back. Andrew Chen is the canonical voice on this mental model, and he pairs the flattening curve with the power user smile so you can see where your sticky core actually lives. Read it as the frame for judging your own numbers, not as a pass/fail line.

Magic metrics indicating product/market fit (cohort curves that flatten, and the power user smile)

From andrewchen.com by Andrew Chen Short read (tweetstorm plus commentary)

  • A retention curve that flattens (instead of trending to zero) is the honest sign that some users are genuinely hooked.
  • The power user smile shows a concentrated core of engaged users that you can grow out from, so look at the shape, not just the average.
  • These are directional signals of product market fit, useful as a starting point rather than a strict benchmark to clear.
Open andrewchen.com →
📄 Article
✓ Link checked Free Beginner

Why we picked it Once you know your curve should flatten, the next question is where it should flatten, and this piece answers it with concrete benchmark ranges by business type instead of hand-waving. Lenny pooled numbers from 20-plus growth leaders and investors, so you can put your own 6-month retention next to a real bar for your category. Treat the ranges as a starting point for judgment, not a pass-fail line, since a consumer social product and an enterprise SaaS live in completely different worlds.

What is good retention?

From Lenny's Newsletter by Lenny Rachitsky ~10 min read

  • The bar is category-specific: roughly 25% good / 45% great for consumer social, 40% / 70% for consumer subscription, and 70% / 90% for enterprise SaaS at 6 months.
  • Judge yourself against your own business type, not a global average. Comparing a marketplace to a SaaS number will just mislead you.
  • It also splits user retention from net revenue retention, a useful reminder that a subscription business can look flat on users while still growing revenue per account.
Open lennysnewsletter.com →

Use

🛠️ Tool
✓ Link checked Freemium Beginner

Why we picked it Benchmarks only matter once you can plot your own cohorts and see whether your curve is flattening, and Amplitude's Retention Analysis chart does exactly that on real user data. Amplitude has a free Starter plan that covers basic retention and cohort analysis, so a pre-seed team can run this without spending anything. Start by wiring in a few key events, then read the curve shape the way the essays describe.

Amplitude Retention Analysis (chart documentation)

From Amplitude Docs by Amplitude Reference documentation plus free product

  • Point it at the action that defines an active user, then read whether later cohorts hold or decay.
  • The free Starter plan is enough to plot flattening curves for an early product, so cost is not a blocker.
  • A steep early drop followed by a plateau is the pattern to look for, echoing the flattening curve idea in practice.
Open amplitude.com →

People also ask

Why is retention more important than acquisition? Retention is the foundation everything else stands on: without it, acquisition and referral just pour water into a leaky bucket. A flattening reten... Beginner 2 resources → How do I actually improve retention and make my product habit-forming? Use the Hook Model: pair a trigger with an easy action, a variable reward, and an investment that makes the product better next time. Get users to ... Intermediate 2 resources → When should I build a referral program? Only after you already have strong word-of-mouth; a referral program adds fuel to an existing fire, it can't start one. You also need enough active... Intermediate 2 resources → Is my product going to go viral, and how do I make it more shareable? Probably not, true peer-to-peer virality is rare, and most 'viral' growth is really one big broadcast reaching many people at once. Instead of pray... Intermediate 2 resources → How do I measure and analyze retention properly? Use cohort retention curves, not a single churn number: group users by signup period and watch whether the curve flattens to a stable plateau or de... Advanced 2 resources → What's a common mistake founders make with referral and virality? Bolting a referral program onto a product people don't love yet, and expecting it to manufacture growth. Referrals and virality amplify existing en... Intermediate 2 resources →