Customer Tenure
Predict how long each cohort of customers will stay — with 99%+ accuracy
- Analytics & forecasting
- Customer experience
- Business insights
Bottom-up, customer-level modelling — not blended aggregate churn rates that hide where value really lives.
Micro-segment cohorts — hundreds to thousands of cohorts built from 7-10 configurable customer attributes e.g. channel, product, price, credit score, age and more
Activity curves per cohort + auto-adapting model — see how each segment churns over time; predictions adjust automatically as data sources are updated with live customer information, new products and price points
99%+ accuracy — retrospective scoring proves predictions land within a fraction of actuals over a 10-month forward window
Integrated workflow tooling — at-risk cohorts reach retention, customer experience and sales-incentive teams in time for the intervention window, accelerating speed to value
Acquire high value customers
Cohort-level CLV exposes the channels, products and price points that quietly destroy value, enabling acquisition spend to generate more value
Retain customers before they leave
Activity curves predict when each cohort starts to churn, allowing retention investment to be accurately timed, targeted and measured
Plan, price and forecast on real numbers
Business cases, pricing decisions and long-range base forecasts built on segment-level predictions, not blended averages.
Sagacity
For 20 years we have helped energy, water and telecoms operators — from Big Six and challenger energy suppliers, to leading UK water companies and major telcos — turn customer data into confident decisions