Stickiness Ratio Calculator (DAU/MAU)

Last updated: August 5, 2026  ·  Reviewed by the DoCalc team

What Is the Stickiness Ratio?

The Stickiness Ratio is Daily Active Users (DAU) divided by Monthly Active Users (MAU), expressed as a percentage. It answers a question that raw DAU and MAU numbers can't answer on their own: of everyone who used the product at some point this month, what share is actually coming back on any given day? A product can have an impressively large MAU while most of that audience only shows up once or twice a month — the Stickiness Ratio is what reveals that gap.

This metric matters because DAU and MAU in isolation are easy to misread. A rising MAU looks like growth, and often is — but if DAU isn't rising proportionally, the growth may be adding users who don't engage habitually, which is a very different kind of growth than adding users who return daily. Stickiness Ratio is the check that catches this before it shows up as a retention or engagement problem later.

The Formula

Where DAU is the average number of unique users active on a given day, and MAU is the number of unique users active over the full month. Both should be measured over the same underlying period and the same definition of "active" for the ratio to be meaningful.

How Stickiness Ratio Works

The Stickiness Ratio has a natural mathematical ceiling worth understanding: if every single MAU used the product every single day, the ratio would be 100%. In practice, no real product sustains anything close to that, since even the most habitual daily-use products have users who occasionally skip a day. The upper end of realistic Stickiness Ratios — 50%+ — is typically reserved for products used multiple times throughout every workday, like messaging or collaboration tools.

Crucially, the "right" Stickiness Ratio depends entirely on what the product is for. A tool naturally used once a month — like a payroll system run on a monthly cycle, or an annual tax-filing product — has no business chasing a daily-habit Stickiness Ratio, and a low ratio there isn't a red flag at all; it simply reflects the product's natural usage cadence. The metric is most meaningful for products where frequent, habitual use is actually the intended and valuable behavior.

Worked Example

A product has 15,000 average daily active users and 50,000 monthly active users:

A Stickiness Ratio of 30% means roughly 3 in 10 of the product's monthly audience is coming back on any given day — a strong result, well above the 20% threshold typically considered a healthy daily habit.

Stickiness Ratio Benchmarks

Stickiness Ratio	What it typically signals
Below 10%	Occasional-use product — engagement is infrequent
10-20%	Moderate, regular engagement
20%+	Strong daily habit — the product is core to users' routine

Pros and Cons

Pros: exposes real engagement frequency that raw DAU or MAU alone would hide; simple to calculate from data most products already track; a useful leading indicator that often moves before retention or churn numbers do.

Cons: only meaningful for products where daily use is actually the expected behavior — misleading if applied to inherently infrequent-use products; a single company-wide ratio can hide very different engagement patterns across user segments or use cases.

Who Should — and Shouldn't — Use This Calculator

Use it if your product is meant to be used frequently or daily, and you want to check whether growing MAU is translating into real habitual engagement, not just a larger but shallower audience.

Skip or adjust for it if your product has a naturally infrequent usage cadence (monthly, quarterly, or annual) — a low Stickiness Ratio there reflects the product's design, not a problem.

Common Mistakes to Avoid

The most common mistake is applying the same Stickiness Ratio benchmark to every product regardless of its natural usage cadence — a monthly-billing tool and a messaging app should not be judged against the same bar. A second mistake is using inconsistent "active" definitions between the DAU and MAU calculations, which distorts the ratio. A third is celebrating a rising MAU without checking whether DAU is keeping pace — new user growth that doesn't translate into habitual use is a weaker signal than it first appears.

Expert Recommendation

Track Stickiness Ratio as a trend segmented by user cohort or plan tier, not just one company-wide number. A blended ratio can hide a healthy power-user segment offsetting a much weaker casual-user segment — the segment-level view is usually more actionable for deciding where to invest in engagement.

Frequently Asked Questions

Conclusion

Stickiness Ratio catches what DAU and MAU alone can hide — the difference between a large audience and a genuinely engaged one. For any product where daily habit is the goal, it's one of the clearest early signals of whether that goal is being met.

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