Outcome Solution
Identify drop-off, trigger journeys, and recover value before it's lost.
Move from static campaigns to behavior-aware journeys that respond to how customers actually behave.
Direct answer
For retention and reactivation, Binoban uses governed behavioral profiles to detect inactivity, churn risk, and category abandonment — then triggers journeys across owned and paid channels and measures recovery against holdouts.
Why it fails today
The problem, and why now.
Retention & Reactivation
Most retention programs are too slow because they rely on static segments, delayed reports, and campaign calendars. Binoban enables behavior-aware segmentation and journey orchestration based on signals that reveal inactivity, churn risk, reduced frequency, category abandonment, and reactivation opportunities.
The timing
Acquisition costs keep rising, so recovered and retained value is the cheapest growth available. Behavior-aware retention turns existing signals into measurable revenue protection.
What Binoban enables
What Binoban makes possible here.
Data inputs
What the solution runs on.
Activity & frequency
Recency, frequency, and engagement signals.
Transactions
Purchase cadence and category behavior.
Lifecycle state
Onboarding, active, dormant, and churn-risk indicators.
Campaign response
Channel exposure and response history.
Profiles
Governed Customer 360 profiles as the base.
Consent
Channel and use-case consent.
How it works
From signals to measured outcomes.
Detect
Identify inactivity, churn risk, and reactivation windows from behavior.
Segment
Build reactivation and at-risk audiences for owned and paid channels.
Trigger
Run journeys timed to behavior rather than the calendar.
Measure
Track recovery and repeat purchase against control groups.
Start focused. Expand modularly.
Begin with one high-value use case.
Success metrics
How success is measured.
Churn reduction
Retention change on at-risk cohorts versus holdout.
Reactivation rate
Share of lapsed customers recovered.
Repeat purchase
Repeat behavior among targeted segments.
Incremental value
Recovered revenue measured against control.
Targets are set per engagement against your baseline and holdouts. Binoban does not publish guaranteed performance figures.
Deployment & considerations
How it deploys, and what to watch.
Control boundary
Runs on your governed profile layer in your environment, activating across owned channels and paid audiences with measurement built in. See Deployment and Trust & Security.
Prerequisites & risks
Measurement discipline separates real retention from noise. We build holdouts and lift measurement into the program so recovered value is provable, not assumed.
Common questions
Answers for evaluators.
How does behavior-aware retention work?
Governed profiles detect inactivity and churn-risk signals and trigger journeys timed to behavior, with holdouts that measure recovered value against a control group.
Which channels can it use?
Owned channels like email, push, and SMS, plus paid reactivation audiences, all driven from the same governed segments.
How is impact measured?
Through control groups and lift analysis on retention, reactivation, and repeat purchase — not just campaign open and click rates.
Bring this problem. We'll bring the architecture.
Tell us your data environment, scale, and the outcome you need. We'll map the solution path and deployment model that fit.