Customer Churn Prediction — retention models that act before the customer leaves.
Churn prediction models built on the rich behavioural data telcos already have — productionised inside CRM, contact-centre, and retention workflows. Customers at risk surfaced early enough to act, retention offers tuned to predicted lifetime value, and outcomes measured at the end of every retention cycle.
Churn risk scored continuously, not at quarterly review cycles
Built on the rich usage and engagement data telcos already collect
Predictions wired into CRM and contact-centre actions
Drift monitoring, retraining, and outcome measurement built in
01 / THE CHALLENGE
Telcos see churn after it happens. Predicting it requires the operational machinery to act in time.
Telcos sit on some of the richest behavioural datasets in the world — calls, data, location, engagement, support history. Most of it never reaches the retention team in time to do anything about a customer who is about to leave.
The economics of telco churn are unforgiving. Acquisition cost is multiples of retention cost, and once a customer ports out the recovery rate is brutal. The data exists to predict who is likely to leave, when, and why. The gap is operational — getting predictions to the retention team in a workflow that lets them act, with offers tuned to what each customer is actually worth. The traditional response — quarterly churn reports, batch retention campaigns, blanket discount offers — burns margin without addressing the structural problem. Customer Churn Prediction puts the predictive output directly inside the CRM and contact-centre workflow, scores risk continuously, and ties retention offers to predicted customer lifetime value rather than peanut-butter discount strategies.
02 / THE APPROACH
Four phases. Each one ships agent capability into citizen channels.
CODE81 delivers the Citizen Service Agent in four phases — designed so the agent is in production handling real citizen traffic by the end of the second phase, not at the end of a 12-month transformation programme.
- Data audit & churn definition — Audit behavioural, usage, billing, and support data sources. Define churn precisely for the telco's business — voluntary, involuntary, segment-by-segment. Design the unified customer architecture and identify the leading indicators.
- Model build & first deployment — Build the first wave of churn models tuned to the telco's customer base. Productionise into the CRM and retention workflow for one priority segment. Wire scoring into the contact-centre and outbound retention engine.
- Segment expansion & offer optimisation — Extend churn models to additional segments — prepaid, postpaid, enterprise, fixed-line. Add lifetime value modelling so retention offers match what each customer is actually worth. Optimise offer mix continuously.
- MLOps, retraining & outcome measurement — Lock in MLOps — drift monitoring, scheduled retraining, end-to-end outcome measurement. Retention isn't measured by campaign send volume; it's measured by churn rate change in the targeted cohort.
03 / THE SOLUTION
Six components that make up a production-grade Customer Churn Prediction.
The full reference architecture — what gets built, how the pieces fit together, and where the governance controls sit.
/ COMPONENT 01
Unified Customer Record
A single, governed customer view across products, channels, and lifecycle stage — the foundation every churn model and retention action reads from.
/ COMPONENT 02
Churn Prediction Models
Continuous risk scoring tuned to the telco's customer segments — voluntary, involuntary, and segment-specific patterns.
/ COMPONENT 03
Customer Lifetime Value Models
Predicted CLV scoring so retention offers match what each customer is actually worth — protecting margin while protecting customers.
/ COMPONENT 04
Retention Workflow Engine
Predictive output wired directly into outbound campaigns, contact-centre prompts, and CRM workflows — automation that acts on model output, not analyst spreadsheets.
/ COMPONENT 05
MLOps & Outcome Measurement
Drift monitoring, scheduled retraining, and end-to-end churn outcome measurement — retention performance measured at the cohort level, not the campaign level.
/ COMPONENT 06
Channel Distribution
The same intelligence delivered to retention teams, contact-centre agents, mobile app, and digital channels — one customer view, every retention touchpoint.
Capture
Customer behavioural events captured across usage, billing, support, and engagement systems in real time.
Unify
Events resolved into a single customer record — governed, deduplicated, AI-ready.
Decide
Models score churn risk and customer lifetime value — surface the right intervention for the right customer.
Engage
Retention actions delivered inside the CRM, retention engine, and channel of customer interaction.
What citizen service leaders fund this for.
Industry benchmarks across the categories CODE81 delivers for public-sector clients. Sourced from analyst firms and sector research — not internal estimates.
Reduction in voluntary churn when predictive scoring drives proactive retention versus reactive campaigns
Higher retention ROI when offers are tuned to predicted customer lifetime value
Churn risk scored continuously versus quarterly batch reporting cycles
05 / TECHNOLOGY
Built on enterprise AI platforms with public-sector data residency.
Reference architecture — the platforms and integration patterns CODE81 uses to deliver the Citizen Service Agent. Specific platform choices tuned to each client's existing estate and regulatory context.
Predictive Models & Analytics
Customer & Retention Operations
Data Foundation
/ Engagement Disclosure
This is a forward-looking use case CODE81 designs and delivers for government and public-sector clients across the region. Live engagement details, reference architectures, and customer references are available under NDA on request.
Have a churn problem
visible only after it happens?
We've built churn prediction and retention intelligence platforms for operators across the region — productionised inside the workflows where retention decisions actually happen. Send us the use case and we'll respond with the architecture, governance shape, and a 30-minute scoping call — usually within the same business day.
Talk to a Telco Specialist→