Customer Engagement Score Calculator

The Customer Engagement Score Calculator combines several activity signals into one 0 to 100 score so you can rank accounts by how engaged they really are. You enter three signal scores, each on a 0 to 100 scale, covering login frequency, feature use and key actions taken, then set a weight for each to reflect how strongly it signals real engagement in your product. The tool multiplies each signal by its weight, adds the results, and divides by the total weight to give a weighted average. Product managers, customer success teams and growth leads use this to spot power users worth nurturing, find quiet accounts that may be drifting toward churn, and measure whether onboarding or a new feature is lifting genuine activity rather than vanity logins. A good engagement score blends breadth and depth, so a customer who logs in often but never uses core features should not score as highly as one doing meaningful work. To keep it useful, define each signal score clearly in advance, for example what a feature-use score of 70 represents, and revisit your weights as you learn which behaviours actually correlate with retention and expansion. It pays to watch the score as a trend, since a steady decline is often a clearer warning than the number on any single day, and to segment results by plan so a handful of heavy users does not distort the picture. Treat the score as a prompt to look closer rather than a final answer, and pair it with the context of each account. Use this calculator to standardise how your team measures engagement, focus attention on the accounts that need it, and turn scattered activity data into one number you can act on.

Score = sum(signal x weight) / sum(weights), on a 0 to 100 scale.