EX

Simulation & Prediction

Back to journey: Subscriber Growth

Forecasting

Historical actuals with run-rate, no-action and recommended-action projections against target.

Latest actual

ACTUAL

+68k

Run-rate (6 mo)

FORECAST

+68k

No action (6 mo)

FORECAST

+26.34k

Recommended (6 mo)

SCENARIO

+109.66k

Target

TARGET

Not stored

Net adds — Subscriber Growth

Solid = stored actuals (Historical KPI trend data). Dashed = deterministic projections in the shaded period. Band = ±1σ of historical residuals around the no-action line, widening with horizon. Direction of good: higher.

Forecast table

PeriodTypeActualRun-rateNo actionRecommendedSpread (±1σ)
Apr 26ACTUAL+104k
May 26ACTUAL+96k
Jun 26ACTUAL+89k
Jul 26ACTUAL+83k
Aug 26ACTUAL+77k
Sep 26ACTUAL+68k
Oct 26FORECAST—+68k+61.06k+74.94k+60.15k – +61.97k
Nov 26FORECAST—+68k+54.11k+81.89k+52.83k – +55.39k
Dec 26FORECAST—+68k+47.17k+88.83k+45.6k – +48.74k
Jan 27FORECAST—+68k+40.23k+95.77k+38.42k – +42.04k
Feb 27FORECAST—+68k+33.29k+102.71k+31.27k – +35.31k
Mar 27FORECAST—+68k+26.34k+109.66k+24.12k – +28.56k

Source data, assumptions, methodology & limitations

Source data

  • Telecom KPI data (current period, target, prior)
  • Historical KPI trend data (monthly history Apr–Sep 2026)

Assumptions

  • Run-rate baseline: holds the latest stored actual flat.
  • No action: continues the 6-month stored trend (-6.94 per month).
  • Recommended action: reverses the trend at the same monthly rate (no stored target).

Methodology

  • Least-squares straight line through 6 stored months (slope -6.943 per month).
  • Residual standard deviation σ = 0.905; spread = σ × √(months ahead).
  • Identical arithmetic feeds Decision Journey Stage 5 — Predict.

Limitations

  • Forecasts are straight-line projections of six stored months; they ignore seasonality, shocks and interactions between measures.
  • Many KPIs have no stored target; where absent, the recommended path reverses the trend at the same monthly rate.
  • No downside scenario is stored for any journey; downside coverage is shown as a gap rather than invented.
Forecast horizon: 6 months (Oct 2026 – Mar 2027)Model status: deterministic arithmetic — no AI or machine-learning model.
Evidence typeItemSource
methodology

Subscriber Growth methodology

Reconcile gross adds, churn and net adds; Segment by channel and region; Benchmark share using regulator returns.

Finance Planning Dataset