Act on the signal
Week 8: the threshold crossing fires a journey in real time. The fan engages again — the cancellation moment never arrives.
Fan retained, on the same profile
Use Case · Prevent Churn
Churn is visible in the data before it shows up in your cancellation numbers. Sfere surfaces the behavioral signals that precede departure, triggers the right intervention in real time, and gives you the segmentation to win back fans who already went cold.
One fan · twelve weeks · watch the signal
Press play — or drag the timeline — to watch twelve weeks of one fan’s engagement.
Two ways this story ends
Week 8: the threshold crossing fires a journey in real time. The fan engages again — the cancellation moment never arrives.
Fan retained, on the same profile
Week 12: the first “signal” is the cancellation email itself. Now it is win-back — slower, costlier, and far from guaranteed.
Win-back from cold, at discount prices
From risk to renewed engagement
By the time a customer cancels, the churn has already happened. Sfere works upstream of that moment.
Real-time behavioral signals — declining session frequency, shorter dwell times, skipped interactions — surface in Sfere ID as lapse risk scores before a customer cancels or goes cold. You act on the trend, not the cancellation.
Every fan’s churn risk is calculated on their individual profile history, not a population average. A lapsed sports fan looks different from a lapsed shopper — and the intervention should reflect that.
When a fan’s profile crosses a lapse threshold, Sfere triggers a journey automatically — a personalized WhatsApp message, a reward top-up, a win-back offer — without waiting for a batch report or a manual export. (Reward mechanics in Preview.)
Suppressed or lapsed fans are not lost forever. Audience Builder segments them by last active date, engagement history, and tier status, so win-back campaigns reach the right people with the right incentive — not a blanket discount.
Real-time lapse detection
A fan who is about to churn does not go from fully engaged to cancelled overnight. They drift: sessions get shorter, interactions get sparser, content gets ignored. Sfere tracks these signals in the fan profile in real time, so a lapse risk score is available the moment the pattern starts — not after the cancellation email arrives.
See how real-time profiles workLapse risk is computed on this fan’s own profile history — not a population average — and surfaced in Sfere ID the moment the pattern starts. Crossing the threshold fires the journey automatically.
How it works
Four steps from churn signal to recovered fan.
Declining signals surface as at-risk flags before the customer formally churns.
Risk is computed on the individual profile, not a cohort average.
Crossing a lapse threshold fires a real-time journey, with no manual exports.
Win-back audiences segment former fans by history, tier, and last active date.
Win-back segmentation
Suppressed or lapsed fans are not lost forever. Audience Builder segments them by last active date, engagement history, and tier status — so a lapsed sports fan and a lapsed shopper get different offers, on the channels they actually answer.
Because segmentation runs on the same first-party fan graph that flagged the drift, win-back campaigns reach the right people with the right incentive — not a blanket discount sent to everyone who ever went quiet.
Segmented on the first-party fan graph you own — the right people, the right incentive, not a blanket discount.
See how Sfere surfaces at-risk customers from behavioral signals, triggers real-time reengagement, and segments lapsed fans for win-back campaigns, all on a first-party fan graph you own.