Product-Led Growth Metrics

Product-led growth metrics measure whether your product is doing the selling. In a PLG model, the product itself drives acquisition, activation, and expansion. The metrics that matter are different from sales-led metrics. Instead of tracking pipeline and close rates, you're tracking how quickly users find value and how deeply they engage.

Activation rate

Activation rate measures what percentage of new sign-ups reach a meaningful value milestone. The definition of "activated" varies by product. For a project management tool, it might be creating a project and inviting a team member. For an analytics tool, it might be connecting a data source and viewing the first report.

Most PLG businesses define activation as completing 2-3 key actions within a specific timeframe (typically the first 7-14 days). If your activation rate is below 30%, the onboarding experience likely needs work. Above 50% is strong. The metric is only useful if the activation criteria genuinely predict retention.

Feature adoption rate

Here's a stat worth sitting with: DollarPocket's data across 2,847 SaaS companies shows users engaging with 5+ features churn at one-third the rate of single-feature users. Feature adoption rate measures what percentage of your user base uses a given feature, and that correlation with retention makes it one of the most actionable PLG metrics you can track.

Low adoption on a feature you invested heavily in is a signal. Either the feature doesn't solve a real problem, or users can't find it.

Time to value

Time to value (TTV) measures how long it takes a new user to experience the product's core benefit. Shorter is better. Customers who don't achieve first value within 14 days of onboarding experience 60% higher churn according to Stellafai's data.

Reducing TTV is one of the highest-leverage investments a PLG company can make. Every day between sign-up and the "aha moment" is a day the user might abandon the product.

DAU/MAU ratio

The DAU/MAU ratio (daily active users divided by monthly active users) measures engagement stickiness. A ratio of 50% means half your monthly users come back every day. Products achieving 40%+ DAU/MAU demonstrate 67% lower churn than those at 10%.

Not every product should target high DAU/MAU. A tax preparation tool used once a quarter will have a low ratio by design. The metric is most useful for products with daily or weekly use cases, where it separates genuinely sticky products from those with shallow engagement.

Connecting PLG metrics to revenue

PLG metrics are leading indicators. Activation predicts conversion. Feature adoption predicts retention. DAU/MAU predicts expansion. The lag between engagement signals and revenue impact varies, but the direction is consistent: products with strong PLG metrics retain better and expand faster.

We've seen this gap in many PLG stacks: the payments layer. A user who activated, adopted multiple features, and uses the product daily can still churn involuntarily if their payment fails and nobody recovers it. Dunning closes that gap by ensuring payment failures don't undo the retention work your product already did.