Engagement Score

Score the engagement, live

Load one of the example personas or move the factors yourself. The score, the band and the factor breakdown recompute instantly, and the recommended play follows the band. Note what is missing: spend never enters the read.

Load a customer:

Factors

Session rate5

How often they show up, independent of spend (1 = rarely, 5 = constantly)

Feature depth4

Distinct products and features used (1 = single, 5 = broad)

Recent activity5

How fresh their last active session is (1 = long silent, 5 = active now)

Trend

Engagement read

Engagement score83
PowerTrend steady
Why (factors)
  • +40Session rate. How often they show up, independent of what they spend
  • +23Feature depth. How much of the product they actually use, not just how much they buy
  • +20Recent activity. How fresh their last active session is, the early-warning half of the signal
Recommended play
Reward and advocateemail

A power customer: they show up constantly and use the product broadly. Reward the habit and turn it outward — early access, recognition, a reason to bring others in.

Illustrative and explainable: the score is the sum of named factors, held apart from spend, so you always see the why. The production model runs in the warehouse and pushes the score into Braze.