How to measure DAU/MAU Ratio

The share of monthly active users who use the product on a given day — the standard 'stickiness' measure.

DAU/MAU = DAU ÷ MAU × 100

Why it matters: Signals habit formation: a high ratio means the product is woven into daily workflows, which underpins retention and expansion. Most relevant for daily-use products, not infrequent-use tools.

3 tools that produce DAU/MAU

Side-by-side: how each tool produces this number, what to read before adopting, and where to find the official docs. Saasly does not integrate with these tools — this is a reference so you can pick the right one for your stack.

ToolCategoryHow it produces DAU/MAUPricing
MixpanelProduct analyticsAutomaticFree up to 1M events/month; from $24/mo (Growth) to enterprise.
AmplitudeProduct analyticsAutomaticFree up to 50K MTU; from $49/mo (Plus).
PostHogProduct analyticsAutomaticFree up to 1M events/month; usage-based after.

Per-tool: what to know before you plug it in

Mixpanel

Automatic

Product analytics

Event-based product analytics for funnels, retention, and cohort analysis.

Before you adopt: Mixpanel computes DAU, WAU, and MAU stickiness once you define which event counts as 'active.' The ratio is only as meaningful as that definition — counting a passive ping (push received, background sync) as active inflates stickiness vs. counting a real product action.
Pricing: Free up to 1M events/month; from $24/mo (Growth) to enterprise.
Official docs for DAU/MAU Mixpanel home

Amplitude

Automatic

Product analytics

Event-based product analytics with strong cohort and behavioral retention tooling.

Before you adopt: Amplitude's stickiness chart reports the DAU/MAU ratio directly off your active-user event. The number swings with how you define 'active' — pick a meaningful core action, not any app open, or the ratio overstates real engagement.
Pricing: Free up to 50K MTU; from $49/mo (Plus).
Official docs for DAU/MAU Amplitude home

PostHog

Automatic

Product analytics

Open-source product analytics with self-hosting option.

Before you adopt: PostHog's stickiness insight derives DAU/MAU from your chosen active event. Same definition sensitivity as the other product-analytics tools — anchor 'active' to a real product action, not a passive load, or the ratio is misleading.
Pricing: Free up to 1M events/month; usage-based after.
Official docs for DAU/MAU PostHog home

Already have your numbers? Run the math.

The Saasly Calculator computes DAU/MAU (and 15 other SaaS metrics) from manual input — useful when you've pulled the underlying numbers out of one of the tools above and want a quick sanity check with industry benchmark percentiles.

Open the calculator

Other metrics

How to measure Customer Lifetime Value
The total gross profit a single customer is expected to generate over their entire relationship with you.
How to measure Customer Acquisition Cost
The fully-loaded cost of acquiring one paying customer in a given period.
How to measure Monthly Recurring Revenue
The normalized monthly value of every active subscription, regardless of billing period.
How to measure Customer Churn Rate
The percentage of customers who cancel in a given period. Counts logos, not dollars.
How to measure Net Revenue Retention
How much revenue a cohort of existing customers generates compared to where they started — including expansion, contraction, and churn.
How to measure CAC Payback Period
The number of months of gross profit from a customer required to recover the cost of acquiring them.
How to measure SaaS Quick Ratio
The ratio of revenue gained (new + expansion) to revenue lost (churn + contraction) in a period.
How to measure Magic Number
Annualized net-new ARR generated for each dollar of the prior quarter's sales & marketing spend.
How to measure Gross Margin
The percentage of revenue left after the direct cost of delivering the service (hosting, support, payment fees, third-party APIs).
How to measure Trial-to-Paid Conversion
The percentage of users who start a trial and become paying customers.
How to measure Net Promoter Score
A survey-based score from the 0–10 'how likely are you to recommend us?' question, taking promoters (9–10) minus detractors (0–6).