Predictive Analytics
Forecasts and propensity models that tell you where to spend effort.
Forecasting and propensity models for churn, upsell and demand, with clear confidence ranges — built from solid baselines and features engineered from your product, CRM and billing data.
How we work
- 01
Establish the baseline
A simple rule is the benchmark. If a model can't beat 'customers who haven't logged in for 30 days', it isn't ready to influence spend.
- 02
Engineer features
Behavioural signals — purchase frequency, time since last login, support interactions — alongside lifecycle and demographic variables.
- 03
Train and validate
Cross-validation and AUC/ROC, reported honestly. We tell you the confidence range, not just the headline accuracy.
- 04
Operationalise
A score nobody acts on is a science project. Predictions land in the tool your team already works in, with a defined next step per risk band.
What changes
- Retention spend aimed at the accounts actually at risk
- Forecasts with honest uncertainty instead of a single misleading number
- Predictions that reach an owner with an action attached
Related services
Data Integration & Pipelines
Reliable pipelines from your SaaS tools, product and databases into one warehouse.
Data Modeling & Governance
So that every metric means the same thing, every time — and everyone knows why.
Dashboards & Reporting Automation
Dashboards designed as decision tools, not wallpaper.