TAM / SAM / SOM β Pakistan Period Underwear
Built bottom-up from population + penetration assumptions. Every input is a lever you should challenge. Purpose is to bound the opportunity and sanity-check Million-Dollar-Math, not to forecast precisely. FX: $1 β Rs 280.
Definitions
- TAM (Total Addressable) β all menstruating-age women in Pakistan, if every one bought period underwear.
- SAM (Serviceable Available) β the slice we can realistically reach + afford us: urban, online, premium-capable women.
- SOM (Serviceable Obtainable) β what UnderX can actually win in the early years.
The funnel (illustrative, challengeable)
| Layer | Population logic | People | Confidence |
|---|---|---|---|
| Menstruating-age women (15β49) | ~55β65M | ~60M | π‘ |
| Urban | ~38% | ~22.8M | π‘ |
| Online / smartphone-reachable | ~60% of urban | ~13.7M | π‘ |
| Premium-capable (can pay Rs 6k+ wardrobe) | ~25% of that | ~3.4M | π΄ |
| Open to a reusable intimate product (early) | ~10β15% | ~0.34β0.5M | π΄ |
That's our realistic near-term serviceable pool. Small relative to Pakistan's size β but more than enough to validate and build a real business if we win it.
Revenue framing
Assume wardrobe AOV Rs 7,000 and a buyer replaces/expands every ~18 months.
| Scenario | Buyers won (of ~400k SAM) | Penetration | Annual revenue (PKR) | β USD |
|---|---|---|---|---|
| SOM Year 1 (validationβlaunch) | 1,000β3,000 | 0.25β0.75% | Rs 7Mβ21M | $25kβ75k |
| SOM Year 2 (traction) | 8,000β15,000 | 2β4% | Rs 56Mβ105M | $200kβ375k |
| SOM Year 3 (scale) | 20,000β35,000 | 5β9% | Rs 140Mβ245M | $500kβ875k |
| $1M milestone | ~40,000 orders/yr | ~10% of SAM (or expand SAM) | Rs 280M | $1.0M |
Reaching $1M means winning ~10% of the entire early-adopter SAM as annual buyers β or expanding SAM by deepening the market (converting more mainstream urban women) and/or adding export. It's achievable over 2β4 years with strong execution, not at launch. This matches Million-Dollar-Math.
How to expand SAM over time (the growth levers)
- Lower the price of entry β a cheaper "starter single + liners" tier pulls in less-premium buyers.
- Education converts "not open yet" β "open" (grows the bottom funnel layer).
- Trust/UGC raises conversion within SAM.
- Daraz taps buyers who'll never find the DTC site.
- Export (parked phase 2) escapes PK's SAM ceiling entirely.
Sensitivity β what moves the answer most
- AOV (wardrobe vs single) β biggest swing
- % premium-capable & open β the softest, riskiest assumptions (π΄)
- Repeat rate / LTV
- Conversion rate on traffic Validation should tighten the π΄ assumptions first β they dominate the model.
Related
Million-Dollar-Math Β· Market-Overview-Pakistan Β· Customer-Personas Β· Pricing-Strategy Β· Unit-Economics