B2C Growth · Success, Marketing
Retention & Win-Back
Identify preventable churn and coordinate the right intervention.
The problem
Risk signals remain scattered and win-back actions arrive after the customer has disengaged.
The outcome
More at-risk customers retained or successfully reactivated.
In practice
Example: a streaming service sees usage fall for a segment of annual subscribers 90 days before renewal. The system builds context per customer, selects the right intervention—content nudge, plan change, offer—and people approve the high-value cases, so churn is prevented while it is still preventable.
How it operates
Like every GigaRev system, Retention & Win-Back runs the Understand → Act → Learn loop under human direction: Detect risk → Build context → Select intervention → Review → Act → Observe → Learn.
What we measure
Preventable churn and reactivation — +14% reactivation among eligible customers
Questions leaders ask
What is Retention & Win-Back?
Retention & Win-Back is a managed, AI-native GTM system built and operated by GigaRev for Success and Marketing teams. Identify preventable churn and coordinate the right intervention. It exists because risk signals remain scattered and win-back actions arrive after the customer has disengaged. The result: more at-risk customers retained or successfully reactivated.
How does Retention & Win-Back work?
Like every GigaRev system, Retention & Win-Back runs the Understand → Act → Learn loop under human direction. It understands first (detect risk, build context, select intervention), then acts through governed steps (act), and learns from every cycle—successful interventions, false-positive risk, reason for churn—so the next cycle performs better than the last.
What results can a CMO or CRO expect from Retention & Win-Back?
The system is built to grow preventable churn and reactivation. Operated deployments have delivered +14% reactivation among eligible customers. Example: a streaming service sees usage fall for a segment of annual subscribers 90 days before renewal. The system builds context per customer, selects the right intervention—content nudge, plan change, offer—and people approve the high-value cases, so churn is prevented while it is still preventable.
How do humans stay in control of Retention & Win-Back?
People keep the consequential decisions: approve high-value intervention; set eligibility and offer rules; review sensitive cases. Agents inside the workflow operate within defined approval boundaries, and every action leaves an auditable trail in the Command Center.
An AI-native GTM growth system built and operated by GigaRev, combining platform, practitioners and managed execution.