EX

Telecom Intelligence

Churn & Retention

Churn rates, at-risk segments and retention programme effectiveness.

Governance & lineageFormula, sources, rules and models behind:Monthly churnRevenue at risk (churn)
Related decision journey: Churn & RetentionOpen journey

Executive summary

Churn rose for the fourth consecutive month, concentrated in high-value urban prepaid following competitor promotions. Save rates are improving but not offsetting volume.

Key indicators

Monthly churn

2.9%

+0.2ppvs prior month

Voluntary churn

1.9%

+0.3ppvs prior month

Involuntary churn

1%

0ppvs prior month

High-value at risk

48k

+15%vs stored prior

Retention rate

97.1%

-0.3ppvs prior month

Save rate

34%

+4ppvs prior month

Customer lifetime value

USD 118

-2.1%vs stored prior

Revenue at risk (churn)

USD 6.8M

+12%vs stored prior

Issues requiring attention

High-value urban prepaid churn up 0.5pp in 30 days

high priority

USD 6.8M revenue at risk (annualised scope not independently confirmed)

Owner: Head of Retention

Drill down

Competitor 2x data offer

high priority

Urban port-outs +22% vs 30-day average.

Owner: Head of Retention

Drill down

Congestion-driven churn

medium priority

Top churn cells overlap with congested sites.

Owner: CTO

Drill down

Performance analysis

Monthly churn (%)

Monthly actuals, Apr–Sep

Churn reasons (%)

Source unavailable — this breakdown has no stored record.

Actual vs prior and target

Current period, KPIs measured in %

Prior periodActual

Monthly churn trend

Monthly churn by month, Apr–Sep (%)

AI Advisory

  • Prioritise capacity in top-20 churn cells
  • Targeted retention bundle for at-risk high-value users

Value realization

Metric / outcomeValue typeBaseline → target KPIExpectedActualVarianceRealizationStatus

High-value churn reduction

FY2026 H2 · Head of Retention

Revenue protected

3.2 → 2.6

KPI for: High-value churn reduction

USD 2.1MConditional projection · Method unavailableUSD 780kLegacy recorded amount — excluded from current reportingNot verifiedNot verifiedAt risk

Evidence

  • 48k high-value subscribers scored above 60% churn propensity.

    Source: CRM (illustrative model output)

Methodology

  1. Segment churners by value, region and tenure
  2. Correlate churn with network and competitor signals
  3. Score base for churn propensity