Activation and stickiness calculator
Activation rate is the share of new sign-ups who reach the point where the product has done something useful for them. Stickiness is daily actives divided by monthly actives — the share of your monthly users who show up on an average day.
Activation and stickiness, step by step
Activation only means something once you have defined the activation event honestly, and the honest definition is the first moment a user gets the value they came for, not the moment they finish onboarding. "Completed setup" flatters the number and hides the problem; "sent their first invoice" or "shared their first document" does not.
DAU/MAU measures expected frequency, so the target depends entirely on what your product is for. A messaging app should be above 50%. A tax tool used once a quarter will sit near 3% and be perfectly healthy. The only honest benchmark is how often a satisfied user would need your product.
Where this number misleads you
Both numbers can be moved without improving anything. Activation rises if you make the activation event easier to trigger accidentally; DAU/MAU rises if you send enough notifications to pull people back for no reason. Pair them with retention past the first month, which neither gaming trick survives.
Questions people ask
What is a good activation rate?
It depends on how hard your activation event is and where the traffic comes from. Self-serve products with a light activation event often sit between 25% and 40%; products needing data import or a team invite sit lower. Compare against your own trend and by acquisition channel rather than any published figure.
What is a good DAU/MAU ratio?
Around 20% is often quoted as healthy, and 50%+ is exceptional, but the ratio only makes sense against how often your product is genuinely needed. A quarterly-use product scoring 5% is not failing. Judge it against the natural frequency of the job your product does.
How should I define the activation event?
Pick the first moment a new user receives the value they signed up for, and verify it by checking which early action best predicts users still being there a month later. Avoid onboarding completion: it measures your flow, not their outcome, and improves without anything getting better.