WALKER SOLUTION
Predictive Alerts
Churn shows up with no warning. Cross-sell opportunities go unnoticed. A non-responder list sits untouched for months. Those are signs that a predictive model is only seeing part of the picture—or the insights aren't reaching the people who need to take action.
Walker builds a custom predictive model for each alert type—retention risk, cross-sell propensity, non-responder follow-up, financial linkage, CAHPS risk alerts. Each one connects experience data—the why—with operational, behavioral and financial data. Then, we create alerts that reach the people who can act, in the systems they already use.
How it works
What did you wish you could see—before it happens? We’ll build a model that tells you.
You name the problem. We build the model that sees it coming.
Low retention. Cross-sell opportunity going unclaimed. Survey non-responders nobody has a read on. Walker starts with the specific pain a client is facing, then designs the predictive model that addresses it.
Tested. Proven. Then put in motion.
The data comes together in the data cloud. We backtest the model against real historical outcomes, run it through a live test period—then put it into production.
Not another dashboard. Insights that land where your team works.
Predictions land in whichever system the responsible team already works from—CS, sales, product or care—depending on what's being predicted: churn, cross-sell potential, product utilization or readmission risk. When a score crosses a defined threshold, an alert fires automatically, so the people who can act on it are notified without having to go looking.
Built once. Retrained often.
We train the model at least every six months as new data comes in—so accuracy doesn't quietly decay after launch. And every engagement includes a roadmap for what's next.
Early signal.
Real action.
Financial Growth
Know who's ready to buy before they ask.
A cross-sell propensity score flags the account primed for expansion, so outreach starts the conversation instead of chasing a competitor who got there first.
Retention
See churn before it shows up in the forecast.
A retention risk score predicts who's likely to leave and fires the moment risk crosses a threshold—time for a retention call, not a post-mortem.
Operational Efficiency
Stop losing customers who went quiet.
A non-responder follow-up trigger flags exactly who stopped responding and when, so outreach happens before the relationship ends.
Data-Driven Decision-Making
Trace revenue impact to the experience behind it.
A financial linkage model connects experience signals directly to dollars, so the next budget conversation has a number attached, not a hunch.
Retention risk. Cross-sell. Non-responders.
Name the problem. We'll build the model.
Additional Resources
Turning uncharged hours into bottom-line profit.