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Customer Tenure

Predict how long each cohort of customers will stay — with 99%+ accuracy

  • Analytics & forecasting
  • Customer experience
  • Business insights
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  • 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 dimensions (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 new products and price points emerge.

  • 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, CX and sales-incentive teams in time for the intervention window, accelerating speed to value.

Customer Tenure is a cohort-based prediction module delivered through Sagacity Dot. Where most tenure models work at an aggregate level, ours is built from the bottom up — data is ingested at customer level so you can drill into the pockets of customers who create or destroy value alongside the business segments and demographics that matter to you.

If your churn assumptions are wrong, every value decision you make is wrong. Customer Tenure replaces average churn rates with segment-specific predictions — so acquisition, retention, pricing and planning all land on the right side of CLV. Cohorts are built from 7-10 dimensions including channel, product, price, credit score and age. The model adapts automatically as new products and price points emerge, and is re-run monthly or quarterly so predictions stay current.

Most directly applicable to energy retailers protecting tariff revenue and telco bundle providers managing broadband, mobile and TV retention; deployed internationally as well as in the UK.


Acquire high value customers

Cohort-level CLV exposes the channels, products and price points that quietly destroy value, so acquisition spend shifts to what compounds.

Retain customers before they leave

Activity curves predict when each cohort starts to churn; retention investment becomes timed, targeted and measurable

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 logo with a dark blue wordmark and a pink dot over the "i".

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

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