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Case Study • EdTech

TAM, SAM & SOM for After‑School EdTech (India)

Market sizing and validation framework for an India-focused after-school EdTech provider—segmentation, surrogate indicators, parent insights, and investor-ready outputs.

5–6 min read  |  Last updated: December 2025

Project Goals

Objectives

Clear deliverables aligned to the client's strategic and fundraising needs.

Sizing Framework

  • Build transparent TAM–SAM–SOM methodology
  • Segment by city-tier, board, fee bands & income
  • Enable scenario planning with assumption toggles

Market Calibration

  • Calibrate SAM using MPV/MII/MEI indicators
  • Identify school & parent cohorts for targeting
  • Estimate SOM via adoption proxies

Investor Readiness

  • Benchmark competition & positioning
  • Generate investor-ready slides & narrative
  • Document evidence artifacts for due diligence
Methodology

Approach & Framework

Structured methodology combining top-down analysis with ground-level validation.

Sizing Framework
  • Top-down TAM by age cohorts & addressable households
  • SAM filters: board mix, school fees, income strata & device access
  • City-level MPV/MII/MEI overlays for prioritization
  • SOM via adoption rates, pricing & funnel constraints
Validation & Benchmarking
  • Parent discussions to test willingness-to-pay & format preferences
  • Competitor scan: offerings, price points, channels & traction cues
  • Investor signal check: traction thresholds & evidence artifacts
  • Sensitivity analysis & scenarios (pricing, uptake, CAC)
Outputs

Key Deliverables

Comprehensive artifacts ready for internal strategy and external fundraising.

Analysis Outputs
  • Excel-based TAM–SAM–SOM model with assumptions panel
  • Priority city/catchment list with MPV/MII/MEI snapshots
  • Parent discussion guide & insights memo
Strategic Documents
  • Competitor benchmarking summary & positioning implications
  • Investor-ready slides & defensible sizing narrative
  • 90-day adoption roadmap & metric guardrails
Project Plan

Indicative Timeline

6-week engagement structured for iterative refinement and stakeholder alignment.

Weeks 1–2
Foundation & Data Assembly
  • Framework & assumptions alignment
  • Data assembly (boards, fees, cohorts)
  • Early MPV/MII/MEI overlays
Weeks 3–4
Validation & Model Build
  • Parent discussions & competitor scan
  • Model buildout & scenarios
  • Interim playback to stakeholders
Weeks 5–6
Refinement & Handover
  • Refinements & investor-ready narrative
  • Prioritized city/catchment plan
  • Final handover & Q&A

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