Reactivation Rate
Reactivation rate is the share of contacted lapsed clients who returned within the follow-up window through ongoing queue work. Formula: lapsed clients returned in-window ÷ lapsed clients contacted × 100, reported per priority tier. Example: 12 of 40 recently-lapsed, high-fit clients return within 30 days: a 30% tier rate.
Reactivation vs win-back rate
The formulas look alike; the motions differ. Win-back rate measures discrete campaigns, defined audience, offer, window. Reactivation rate measures the operational drumbeat: the weekly overdue queue, worked tier by tier, indefinitely. Businesses need both numbers because they fail differently: a strong win-back rate with a weak reactivation rate means campaigns mask a neglected queue; the reverse means operations hold but no surges ever drain the reservoir. Our reactivation guide details tiering and honesty rules (control groups, cost per reactivated client).
Adjacent metrics
Reactivation feeds retention rate with a lag, recovered clients count as retained next period. Return adherence is the upstream preventer: every client kept on-window never needs reactivating. The cheapest reactivation is the one adherence made unnecessary.
Frequently asked questions
What is reactivation rate?
The share of contacted lapsed clients who returned within the follow-up window through ongoing queue work, reported per priority tier rather than blended across tiers of very different probability.
How does reactivation rate differ from win-back rate?
Reactivation measures continuous operational queue work; win-back measures discrete campaigns with defined audiences and windows. Track both: campaigns can mask a neglected queue and vice versa.