Prevent churn. Surface expansion. Decide with foresight.
Use data, segmentation, and predictive indicators to prevent churn, surface growth opportunities, and drive more intelligent retention decisions.
Predictive Intelligence turns retention from reactive to proactive. Segmentation by behavior, value, and risk, plus health scoring, makes every customer relationship measurable. Churn prediction flags who is likely to leave before they go quiet. That is Retention as a decision system — not hope.
Proactive interventions and predictive revenue expansion put the right action in front of the right account at the right time. Health visible in the CRM so every account has a status the team can trust.
This layer runs on Foundation data and analytics setup and Acceleration CRM signal. Lifecycle email and success enablement become the action layer when scores cross thresholds. Feedback loops keep the model honest as behaviors shift.
Act on leading indicators. Hope is not a retention strategy — and expansion signals should surface before the renewal conversation is already lost.
Alex Topal
Engineering Director
“Retention gets proactive when health and churn signals surface before accounts go quiet. Act on leading indicators — hope is not a retention strategy.”
Predictive intelligence makes retention proactive: health scoring, churn prediction, and expansion signals before accounts go quiet. Segmentation and interventions that turn customer data into timely action.
Segmentation Framework organizes customers into actionable groups based on behavior, value, and risk. Health Scoring measures the strength of each customer relationship with a simple, predictive score. Churn Prediction forecasts which customers are most likely to churn before they disengage.
Proactive Retention Interventions execute targeted actions to prevent churn and increase satisfaction. Predictive Revenue Expansion identifies expansion-ready customers and surfaces timely upsell opportunities.
Predictive Intelligence retains and expands the customer base using Foundation data, Acceleration CRM signal, and Retention lifecycle and success motions as the action layer.
Other solutions in Retention
Lifecycle Email
Automated, behavior-driven communication to onboard, engage, expand, and reactivate customers, refined through monthly o…
Success Enablement
Help customers achieve mastery, satisfaction, and long-term success through education, activation programming, advocacy,…
Community & Brand Systems
Create identity, belonging, and ongoing engagement through shared experiences, predictable cadence, shared value, and ad…
Feedback Loops & Optimization
Use ongoing qualitative and quantitative insight to continuously improve experiences across the funnel, then re-test and…
Thinking that informs this work.
Enough usage or engagement history for Segmentation Framework and Health Scoring to find real patterns — typically a customer base with some tenure and consistent behavioral data, not day-one signups. We will assess data readiness before scoping.
Usage, engagement, support, billing, and lifecycle behaviors that historically precede churn or expansion — chosen from your data, not a generic scorecard.
Wherever your data already lives and your team can operate — warehouse, CS platform, or CRM-adjacent tools. We avoid shiny model stacks nobody maintains.
Then readiness work comes first. Predictive Intelligence on garbage inputs creates confident wrong answers. We will say when instrumentation or CRM hygiene must precede models.
Segmentation Framework is part of it — grouping by behavior and potential — then Health Scoring and interventions sit on top. Segments without action are just slides.
From form to a clear read on predictive intelligence.
- 01Reply
Within one business day. A strategist responds directly — not an SDR reading a script.
- 02Intro conversation
45 minutes on data readiness, risk signals, and where teams still act on lagging metrics.
- 03Fit read
If there’s a match, we outline a diagnostic on predictive models Success and growth can run.