Stickiness Ratio
The ratio of daily active users to monthly active users (DAU/MAU), measuring how frequently the average monthly user engages with the product, where higher ratios indicate stronger habit formation.
The stickiness ratio reveals how deeply your product is embedded in users' daily routines. A DAU/MAU of 50% means the average monthly user visits every other day. Social media platforms like Facebook achieve 60%+. Enterprise tools like Slack reach 40-60%. Most SaaS products range from 10-30%. The higher the ratio, the harder it is for competitors to displace you.
This metric matters because daily engagement correlates with retention, word of mouth, and willingness to pay. Users who engage daily are building habits, deriving consistent value, and becoming advocates. Users who visit monthly are at constant risk of forgetting about your product or being displaced by alternatives.
Improving stickiness requires understanding what drives daily return visits. Analyze the behavioral patterns of your most frequent users: what features do they use daily? What triggers bring them back? Then design product changes that create similar patterns for less-engaged users. Common stickiness drivers include notifications about new activity, daily-refreshing content or data, collaborative features that create social obligations, and workflow integrations that make the product part of daily routines.
Related Terms
Growth Loop
A self-reinforcing cycle where each cohort of users generates inputs (data, content, referrals) that attract the next cohort, creating compounding growth.
Churn
The rate at which customers stop using or paying for a product over a given period, typically measured as monthly or annual churn percentage.
Activation Rate
The percentage of new signups who complete a key action (the 'aha moment') that correlates with long-term retention and product value realization.
Product-Led Growth (PLG)
A go-to-market strategy where the product itself drives acquisition, activation, and expansion through self-serve experiences rather than sales-led motions.
Viral Coefficient (K-Factor)
The average number of new users each existing user brings to the product, where a K-factor above 1.0 indicates self-sustaining viral growth.
Net Revenue Retention (NRR)
The percentage of recurring revenue retained from existing customers over a period, including expansion, contraction, and churn — where 100%+ indicates growth without new customers.