Customer Engagement Score

A metric that quantifies how actively a customer interacts with your product, based on usage frequency, feature breadth, and depth of activity.

An engagement score quantifies how actively a customer uses your product. Not just whether they log in, but how deeply they engage: which features they use, how often, and whether that usage is growing or declining. It's a leading indicator of retention. Customers who engage deeply rarely cancel on purpose.

How to calculate an engagement score

There's no universal formula, but the building blocks are consistent. You define the key actions in your product, assign each a weight based on how strongly it correlates with retention, then aggregate scores per account over a rolling period (typically 7 or 30 days).

A simple example for a project management tool: daily logins (weight: 1), tasks created (weight: 2), comments posted (weight: 3), reports exported (weight: 4). Sum the weighted actions, normalise to a 0 to 100 scale, and you have an engagement score.

The DAU/MAU ratio works as a quick, blunt proxy for engagement if you're not ready to build a custom score. It tells you what percentage of your monthly users show up daily. Simple, but it misses depth entirely.

Inputs that matter

Login frequency is the baseline, but it's also the weakest signal in isolation. Someone can log in daily and do nothing. Feature breadth measures how many of your product's capabilities a customer actually uses. Feature adoption rate gives you this number.

Depth of use is harder to measure but more predictive. A customer who uses your core workflow every day is more engaged than one who checks their dashboard once a week. Collaboration signals (inviting team members, sharing outputs, @-mentioning colleagues) are particularly strong because they create switching costs.

Engagement and retention

The correlation between engagement and retention is one of the most reliable patterns in SaaS. Customers who engage with five or more features churn at roughly one third the rate of single-feature users, according to DollarPocket's analysis of 2,847 SaaS companies.

Falling engagement usually precedes cancellation by 30 to 60 days. That's your intervention window. An engagement score tracked at the account level can flag at-risk customers well before they reach for the cancel button, feeding directly into your customer health score.

Engagement doesn't cover everything

High engagement protects against voluntary churn. A customer who uses your product every day is unlikely to deliberately cancel. But engagement says nothing about whether their next payment will succeed.

Involuntary churn from failed payments accounts for 20 to 40% of all SaaS churn. Your most engaged customer can still disappear because their card expired. Engagement scores and payment recovery solve different problems. You need both.

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