Reactivation
The process of re-engaging dormant or churned users and bringing them back to active product usage, typically through targeted outreach that addresses their original reason for leaving.
Reactivation targets users who were once engaged but have since become inactive or canceled. These users are valuable because they already understand your product, have an existing account, and require no brand awareness building. Reactivation costs are typically 50-70% less than new customer acquisition, making it one of the most efficient growth levers.
Effective reactivation requires understanding why users left. Common reasons include unresolved product issues (fixed since they left), changed needs (new features now address their use case), pricing concerns (new tiers or discounts available), and simple neglect (they forgot about the product). Surveying churned users and analyzing pre-churn behavior reveals the most common causes in your specific context.
The reactivation playbook includes trigger-based email campaigns tied to product improvements (announcing features users wanted), personalized win-back offers based on the user's historical behavior and likely churn reason, re-onboarding flows that highlight what has changed since they left, and time-gated incentives that create urgency. AI enhances reactivation by predicting which churned users are most likely to return, what message will resonate with each, and when to reach out for maximum impact.
Related Terms
Growth Loop
A self-reinforcing cycle where each cohort of users generates inputs (data, content, referrals) that attract the next cohort, creating compounding growth.
Churn
The rate at which customers stop using or paying for a product over a given period, typically measured as monthly or annual churn percentage.
Activation Rate
The percentage of new signups who complete a key action (the 'aha moment') that correlates with long-term retention and product value realization.
Product-Led Growth (PLG)
A go-to-market strategy where the product itself drives acquisition, activation, and expansion through self-serve experiences rather than sales-led motions.
Viral Coefficient (K-Factor)
The average number of new users each existing user brings to the product, where a K-factor above 1.0 indicates self-sustaining viral growth.
Net Revenue Retention (NRR)
The percentage of recurring revenue retained from existing customers over a period, including expansion, contraction, and churn — where 100%+ indicates growth without new customers.