What Is a Good Day-1, Day-7 and Day-90 Retention Rate? (2026 Benchmarks, B2B vs Consumer)

A good Day-1 retention rate for an app is 20% to 30% for a consumer app, and above 30% is top quartile (Adjust, Statista). For B2B SaaS, counted as the share of all signups still active, Day 1 runs roughly 5% to 25% (estimate), with Day 7 at 4% to 20% and Day 90 at 2.5% to 15.6% (Amplitude, median to 90th percentile).

The 50% to 70% often quoted for B2B is Pendo’s returning-user rate, which reads about ten times higher. Check which metric a benchmark reports before you read the number.

What “retention rate” means, and why Day-1, Day-7 and Day-30 each measure something different

Retention rate is the share of a cohort who come back and use the product again N days later. A cohort is everyone who first used or signed up on the same day. Day-1 retention is the percentage who return the day after their first session. Day-7 is a week later, Day-30 a month later.

This is cohort retention, the metric Amplitude, Mixpanel, AppsFlyer and Adjust publish and the one the benchmark tool grades.

Pendo publishes a different metric, the returning-user rate. It counts the share of users active in one period who are active again in a later period, with no signup cohort.

The returning-user rate reads about ten times higher than cohort retention. It is also the source of the “B2B Day-1 retention is 50% to 70%” figure that circulates.

Each day answers a different question:

• Day-1 retention asks: did the first experience land? Low Day-1 almost always means an onboarding or value-clarity problem, not a product-quality problem.
• Day-7 retention asks: is a habit or workflow forming? By a week in, novelty has worn off.
• Day-30 retention asks: is there durable value? This is the one that correlates with real product-market fit.

These ranges are directional reference ranges, not targets. A freemium consumer game and an enterprise compliance tool can both be healthy with retention curves that look nothing alike. Use the ranges to spot whether you’re roughly on the map, then look at the shape.

The benchmarks: B2B SaaS vs Consumer

Both tables are cohort retention, the share of all signups still active.

B2B SaaS / B2B tech tools

Day-90 is the only B2B range with a directly published, matched-population figure. Day-1, Day-7 and Day-30 are estimates kept consistent with it, so treat them as order-of-magnitude.

Pendo’s returning-user rates are 50% to 70% at Day 1, 40% to 60% at Day 7, 35% to 55% at Day 14 and 25% to 35% at 90 days. They are not comparable with the cohort ranges above.

Consumer apps (mobile & consumer tech)

The consumer Day-30 range brackets two figures published in the same month: AppsFlyer’s cross-category median of 5.4% and Adjust’s aggregate of 5% to 7%.

The curve’s shape matters more than the number

A single retention percentage can be high and still be telling you you’re about to die. What you want to see is the shape of the curve over time, and specifically whether it plateaus.

There are two shapes:

• Decay (no floor). Retention keeps sliding day after day with no flattening. Even if Day-1 looks fine, the cohort eventually trends toward zero.
• Plateau (a smile, or at least a floor). Retention drops fast at first and then flattens into a stable range of people who keep coming back. That flat floor is your product-market fit.

B2B SaaS curve shape (illustrative, lower to upper range): Day 0: 100% → Day 1: 5% to 25% → Day 7: 4% to 20% → Day 30: 2.8% to 16.5% → settling around 2.5% to 15.6% by Day 90.

And the consumer curve, with a steeper initial cliff, then a low but real floor:

Consumer curve shape (illustrative, lower to upper range): Day 0: 100% → 25% to 40% → 15% to 28% → 10% to 22% → 8% to 18% → … → settling around 1% to 4% by Day 90.

Stop asking “is my Day-7 number good?” and start asking “has my curve stopped falling, and where did it level off?”

A consumer app that flattens at 4% has product-market fit. A B2B tool still sliding at Day-60 with no floor does not, even with a Day-7 number that looks healthy on a slide.

Why your retention reads differently if you’re B2B vs consumer

Read the two tables separately even where the numbers overlap. The difference changes what you should do about a “bad” number.

Consumer products pull a big paid and viral top-of-funnel, much of it low-intent. A 20% to 30% Day-1 is the cost of casting wide. The whole game is finding the small, loyal floor and the loops that keep them.

B2B tools get fewer users with higher intent, often with a real job to be done. Here “active” means used on a workday rather than whenever the user feels like it.

The B2B cohort ranges are wide because free trials and single-seat signups drag the median down, while the 90th percentile sits far above it. A soft Day-1 at the bottom of the range usually points at onboarding friction or unclear value rather than “wrong audience.” Fix the first session before you touch acquisition.

Assess retention quality before CAC efficiency. A great LTV:CAC ratio or a fast CAC payback period built on a leaking retention curve is a mirage.

The CAC payback period benchmark shows where healthy payback sits once your curve holds. For the wider context, see the B2B SaaS growth benchmarks and consumer app benchmarks for 2026.

How to improve a weak retention curve

Match the lever to the day that’s weak.

• Weak Day-1? It’s almost always onboarding and time-to-value. Get the user to one real moment of value in the first session. Cut everything between sign-up and that moment. An onboarding and activation audit finds where the first session loses people.
• Weak Day-7? No habit is forming. Look for a natural reason to come back this week: a trigger, a notification that’s useful, a workflow the product is embedded in.
• Weak Day-30 / no plateau? A curve that never flattens means the core value isn’t durable for this audience. It needs real user research into why people stop, the kind a continuous discovery kickstart sets up. Split passive churn out first, though. Customers lost to failed payments are a billing fix, not a value problem. Sometimes you’re retaining the wrong segment, and the floor is hiding inside one cohort you should be acquiring more of.

See where your curve lands

The free benchmark tool plots your retention curve against the reference ranges above in six minutes. It charts your K-factor and unit economics in the same view.

→ Check your retention against the benchmarks