Free Product Growth Benchmark Calculator (B2B & Consumer)

A growth benchmark calculator charts your retention, K-factor, LTV:CAC, CAC payback and activation against sourced B2B SaaS and Consumer bands. The useful output is which metric is below benchmark, because that locates the problem, rather than simply whether you're below it at all. A benchmark is context for diagnosis, not a target to hit.

What is a growth benchmark, and is it a target?

A growth benchmark is the average band a metric falls into for products like yours, not a goal line. Used right, it tells you where you stand so you can spot which number is off; used wrong, it becomes a target you chase past the point of usefulness. The whole point of this tool is the first use, not the second.

The fastest way to know whether your growth metrics are healthy is to compare them against the right benchmark, not a number you half-remember from a blog post. Our free growth benchmark calculator charts your retention, K-factor, LTV:CAC and CAC payback against sourced B2B SaaS and Consumer bands in a couple of minutes. No signup, no sales call, no "book a demo to see your score."

Open the calculator →

It's free because the honest version of this advice is short: a benchmark is context, and using it as a target is a mistake. The tool exists to give you that context quickly and then get out of your way.

What the calculator does

You enter the numbers you already have: last month's new users, your monthly active users, a few retention points, and (optionally) your unit economics. The tool plots them against the average band for your product type and shows you, metric by metric, where you land: inside the band, above it, or below it.

What it is: a directional read on five growth metrics, side by side, with the sources visible. It stops short of being a verdict. A single number in isolation lies, and the tool is built to say so rather than hand you a green checkmark you didn't earn.

Here's the interesting part: the most useful output is which metric is below benchmark, because that tells you where the problem actually is, more so than the bare fact that you're below benchmark. Weak Day-7 retention and weak LTV:CAC are very different diseases with very different fixes.

The five metrics it benchmarks

Each metric below links to a fuller explainer if you want the deep version. Here's the short version, with the bands the tool actually uses.

Retention

Retention is the percentage of a cohort still active after a given number of days. It's the first thing to check, because acquisition and unit economics built on leaky retention just lose money faster.

Sources: Pendo Product Benchmarks, Amplitude, Mixpanel (B2B); Adjust, AppsFlyer, UXCam (Consumer). Note how far apart the two columns are: B2B Day-7 retention of 40 to 60% would be a once-in-a-generation consumer app. That gap is exactly why the calculator makes you pick a product type first. (More on each band in retention rate benchmarks and why B2B and Consumer don't compare.)

K-factor (viral coefficient)

K-factor is your viral multiplier: how many additional users each new user generates before their influence runs out. K = 0.5 means two users bring one more; K > 1 is true viral growth and is rare.

Sources: Reforge, Andrew Chen. B2B virality is usually weak, so anything above 0.3 is unusually strong unless the product has built-in collaboration loops. Even a Consumer K of 0.5 is considered very strong. If your number looks suspiciously high, the most common cause is counting invitations that didn't actually convert. (How to lift K-factor without bolting on a referral program.)

LTV:CAC ratio

LTV:CAC compares the lifetime value of a customer to what it costs to acquire one. It's the single clearest read on whether your growth is economically sustainable.

Sources: Bessemer State of the Cloud, OpenView SaaS Benchmarks, a16z (B2B); Adjust, AppsFlyer, a16z (Consumer). Roughly 3:1 is the minimum healthy baseline. Below 2:1 is structurally risky. Here's what I actually think: a ratio above 5:1 often isn't the win it looks like, because it usually means you're underinvesting in growth and leaving demand on the table. (Why a great LTV:CAC can come with flat growth.)

CAC payback period

CAC payback is how many months of margin it takes to earn back the cost of acquiring a customer. It's the cash-flow companion to LTV:CAC, since a healthy ratio with a brutal payback period can still starve you.

Sources: OpenView, KeyBanc SaaS Survey (B2B); AppsFlyer, Mobile Dev Memo (Consumer). Under 12 months is strong for B2B; longer payback is only acceptable with very high retention and expansion. Consumer products are expected to recoup quickly; past six months, most fail at scale. (What to do when payback is too long.)

Activation

Activation is the share of new users who complete onboarding and reach first value. It sits upstream of everything else: weak activation caps your retention before the retention curve even starts.

Treat these as the loosest of the five. They're directional estimates drawn from general PLG ranges (Lenny's Newsletter, Userpilot, OpenView PLG benchmarks). We don't yet have a clean per-number source for each cell the way we do for retention and unit economics, so the tool flags them as such.

How to read your result without fooling yourself

The calculator gives you five readings. The temptation is to chase whichever one is red. Resist it, in this order:

1. Read retention before economics. A great LTV:CAC built on a leaking bucket is a timing problem, not a health signal. Fix the curve first.
2. Look for the curve flattening, more than the absolute number. A Day-14 number that's "below benchmark" but flat from Day-7 is often healthier than a higher number still falling off a cliff.
3. Don't compare across product types. B2B and Consumer follow genuinely different growth mechanics, which is the whole reason the bands are separate.
4. A band is a band, not a line. Landing at the bottom of a range isn't failing. The bands are averages; your business model (freemium, self-serve, enterprise) materially changes what "good" looks like.

The metrics also interact, which is the part most benchmark tools skip. K-factor and retention compound: if users churn fast, every viral loop gets fewer chances to fire before the user leaves. Strong retention is more than its own win, because it amplifies everything downstream. (The cohort model behind the charts walks through that math.)

Why we keep the sources visible

Every band in this article (and in the tool) traces to a named source: Pendo, Amplitude, Mixpanel, OpenView, Bessemer, a16z, Adjust, AppsFlyer, Reforge, Andrew Chen. We show them because a benchmark you can't trace is just a rumor with a number attached. Where we don't have a clean source (the activation bands above), we say so rather than dressing an estimate up as fact. That's the deal: directional, sourced, and honest about its own limits.

Use the calculator

Open the free growth benchmark calculator →

Enter last month's new users and MAU, a few retention points, and your unit economics if you have them. The tool charts all five metrics against the B2B SaaS and Consumer bands, shows you where you land, and keeps the sources one click away. A couple of minutes, and you'll know which of your five numbers is the real problem.

If you want the methodology before you trust the output, start with how to benchmark startup growth.

FAQ

Is the growth benchmark calculator really free? Yes, with no signup, no paywall, no demo gate. You enter your numbers, you see your bands, you leave. The benchmarks are sourced and visible.

Does it work for both B2B and consumer products? Yes. You pick a product type first, and the tool loads the matching bands: 50 to 70% Day-1 retention for B2B versus 20 to 30% for consumer, for example. The two are never compared directly, because they grow differently.

What metrics does it benchmark? Five: retention (Day-1/7/14/90), K-factor, LTV:CAC, CAC payback period, and activation. Each is plotted against the average band for your product type.

Where do the benchmark numbers come from? Named industry sources (Pendo, Amplitude, OpenView, Bessemer, a16z, Adjust, AppsFlyer, Reforge and others) listed alongside each metric. Activation bands are directional estimates and are flagged as such.

Should I treat the benchmark as a target? No. Benchmarks are context, not targets. Use them to spot which metric is off, then look at the trend (is the curve flattening?) and your business model before deciding anything. A number above the band can be a warning sign as often as a win.