DAU MAU ratio: stickiness at the right rhythm

The DAU/MAU ratio — DAU MAU ratio, dropping the slash — is daily active users divided by monthly active users, read as a percentage. Above 20% is healthy for a daily-use product; below 10% is weak. That threshold moves before churn does, because a churn report counts a cancelled account weeks after it stopped logging in.

That gap between 10 and 20 points is the whole post: a leading indicator, not a lagging one. Churn is a cohort result, counted at the end of a billing cycle. The DAU/MAU ratio is a daily number, and it moves first.

A founder watching a weekly-use product can mistake a slow ratio for a healthy one. A founder watching a daily one can miss a slide that's already three weeks old by the time retention reports it.

The DAU/MAU ratio divides daily active users by monthly active users to measure stickiness — how often the average monthly user actually returns. Above 20% usually signals a product used several times a week; below 10% signals occasional use. The ratio moves before cohort churn reports show the same decline.

Key takeaways

• The DAU/MAU ratio turns monthly active users into a daily attendance number, and it moves before churn does.
• A daily-use product under 10% sits in the range benchmarks call bad, weeks before cohort retention shows it.
• A weekly-use product reads a false alarm against the same 20% benchmark built for daily-use tools.
• Customers who keep the product's own rhythm leave less: moving 100 of them into it is worth €2,880 of ARR in the worked example.
• Pull 90 days of DAU and MAU, compute the ratio weekly, and flag any week it drops two points below baseline.

What the DAU/MAU ratio actually counts

The formula is one division:

DAU/MAU ratio = Daily Active Users ÷ Monthly Active Users × 100

Example: 1,840 DAU ÷ 8,000 MAU = 23% stickiness

It answers one question: of everyone who used the product this month, what share came back today. A ratio of 23% means the average monthly user was active on roughly seven days out of thirty. A ratio of 8% means closer to two. Neither number is good or bad on its own — it depends on what the product is for, which is the part most benchmark posts skip.

A threshold that only applies to half of SaaS

One startup-metrics benchmark calls a ratio over 20% good, under 10% bad and over 50% outstanding. An app-engagement guide notes that top gaming and fintech apps aim above 20%. Both are built on products designed for daily use: messaging, social, games, payments.

A payroll tool, a quarterly reporting dashboard, or an invoicing product was never going to clear 20%. Nobody opens payroll software daily by design. Applying the daily-use threshold to a weekly-use product doesn't flag a problem — it manufactures one.

A daily product and a weekly product, same DAU/MAU ratio math

Take two SaaS products with 8,000 monthly active users each: a task-tracking tool used daily, and a booking tool for photographers used weekly.

• Task tracker: 1,840 DAU ÷ 8,000 MAU = 23% stickiness. In range for a daily-use category.
• Booking tool: 560 DAU ÷ 8,000 MAU = 7% stickiness. Reads as a failure against the generic 20% benchmark — and isn't one, because nobody opens a booking tool every day between shoots.

The number that matters for the booking tool isn't 20%. It's whatever that product's own ratio was 90 days ago. If the booking tool sat at 8.75% ninety days ago, the slide to 7% is the same size of warning as a drop from 25% to 20% on the daily tool.

Where the DAU MAU ratio turns into a churn warning

Stickiness drops before churn does because churn is counted once a cycle closes, and a cancelled account was already disengaged for weeks before it cancelled. Most of that disengagement starts in the same place: week two, when a product stops being new and starts being optional. If signup went fine and time to value was short, but nothing was built to bring the user back a second and third time, the DAU/MAU ratio is where that gap shows up first — days before a churn report would show the same cohort leaving.

A ratio that drops two points against its own 90-day baseline is the signal to look at week two specifically — not the signup form, not the first session, but whatever is supposed to make the product worth opening again — before the next renewal cycle closes.

What the rhythm is worth

The ratio earns its keep when you split customers by whether they keep the product's own rhythm. Take a subscription tool for small creative businesses: 1,100 customers paying €60 a month, used per project, so its natural rhythm is weekly. 550 customers open it every week, and they lose 2 in every 100 a month. The other 550 don't, and they lose 6 in every 100. Together that is the 44 customers the product loses each month, the losses a customer retention rate counts after the fact; the rhythm tells you which customers are about to become them.

Move 100 customers into the weekly habit and 4 more of them stay every month: 100 × (6 − 2) in every 100. At €60 a month, that is €2,880 of ARR kept for every month the habit holds. The same split runs on any product: customers moved into the rhythm × the churn gap × ARPU × 12.

That rhythm is also where product and marketing meet: product designs the reason to come back each week, and marketing's emails and launches land on that rhythm instead of against it. Kept at its own cadence, the ratio is a better candidate for a north star metric than raw monthly actives, because it counts the habit the business depends on.

What to do by Monday: pull DAU and MAU for the last 90 days, compute the ratio weekly instead of monthly, and flag the first week it falls two points below its own baseline. That week, not the next billing cycle, is when to check what week two is actually doing for that cohort.

Work through this with your own numbers

You are a SaaS operator reviewing your own engagement data before your next churn report lands. Using [your current MAU], [your current DAU], [your product's expected usage cadence: daily, weekly, or monthly], and [your average revenue per user], calculate your DAU/MAU ratio as a percentage, then split your customers by whether they keep that cadence, compare how many of each group leave each month, and calculate what that gap is worth at my average revenue per user. Compare today's ratio against [your ratio from 90 days ago]. If the ratio has dropped two points or more while your churn report still looks flat, state what changed in your product during that same window — a release, a pricing change, a shift in support response time — and decide whether it's worth investigating before the next cohort closes. Say plainly whether your product's usage cadence means the generic 20% stickiness benchmark applies to you at all, or whether your own 90-day baseline is the only honest threshold you have.

FAQ

What is a good DAU/MAU ratio for a SaaS product?

For a product built around daily use, a DAU/MAU ratio above 20% is generally read as good and over 50% as outstanding, based on startup benchmarks. Below 10% is treated as bad. These thresholds assume daily use by design — a weekly-use product like payroll or invoicing software should expect a lower baseline and watch its own trend instead of the generic number.

How is the DAU/MAU ratio different from retention rate?

Retention rate counts whether a cohort of users is still active at a fixed point after signup, usually measured monthly or quarterly. The DAU/MAU ratio measures how often your current active base returns, day by day, inside a rolling month. Retention tells you if users stayed; the DAU/MAU ratio tells you how engaged the ones who stayed actually are, and it moves before a retention or churn report does.

How often should I check my DAU/MAU ratio?

Weekly, not monthly. Because the ratio is a daily number read against a rolling 30-day window, checking it monthly erases the early warning it's built to give. A weekly check lets you compare the current ratio against your own 90-day baseline and catch a two-point slide while there's still a renewal cycle left to act in.

Does a low DAU/MAU ratio always mean high churn risk?

No — it depends on the product's intended usage cadence. A low ratio on a tool meant to be opened daily is a real warning. The same low ratio on a tool meant to be opened weekly or monthly, like a reporting dashboard, is expected. The useful signal is a drop against that product's own historical baseline, not the absolute number compared to a generic benchmark.

Flamel's Activation Audit reads product data the same way — the account we actually log into, with your access, before a churn report tells you anything. That's the audit. Five business days, $500, and the map is yours whether or not you hire us.