UnderX Period underwear Β· Pakistan Β· review build

TAM / SAM / SOM β€” Pakistan Period Underwear

⚠️These are modeled estimates, not measured facts.

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‰ˆ 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 (15–49) ~55–65M ~60M 🟑
Urban ~38% ~22.8M 🟑
Online / smartphone-reachable ~60% of urban ~13.7M 🟑
Premium-capable (can pay Rs 6k+ wardrobe) ~25% of that ~3.4M πŸ”΄
Open to a reusable intimate product (early) ~10–15% ~0.34–0.5M πŸ”΄
❗SAM β‰ˆ 350k–500k reachable early-adopter women.

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‰ˆ USD
SOM Year 1 (validationβ†’launch) 1,000–3,000 0.25–0.75% Rs 7M–21M $25k–75k
SOM Year 2 (traction) 8,000–15,000 2–4% Rs 56M–105M $200k–375k
SOM Year 3 (scale) 20,000–35,000 5–9% Rs 140M–245M $500k–875k
$1M milestone ~40,000 orders/yr ~10% of SAM (or expand SAM) Rs 280M $1.0M
⚠️The honest read

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 2–4 years with strong execution, not at launch. This matches Million-Dollar-Math.

How to expand SAM over time (the growth levers)

  1. Lower the price of entry β€” a cheaper "starter single + liners" tier pulls in less-premium buyers.
  2. Education converts "not open yet" β†’ "open" (grows the bottom funnel layer).
  3. Trust/UGC raises conversion within SAM.
  4. Daraz taps buyers who'll never find the DTC site.
  5. Export (parked phase 2) escapes PK's SAM ceiling entirely.

Sensitivity β€” what moves the answer most

πŸ’‘Rank-ordered levers
  1. AOV (wardrobe vs single) β€” biggest swing
  2. % premium-capable & open β€” the softest, riskiest assumptions (πŸ”΄)
  3. Repeat rate / LTV
  4. Conversion rate on traffic Validation should tighten the πŸ”΄ assumptions first β€” they dominate the model.

Related

Million-Dollar-Math Β· Market-Overview-Pakistan Β· Customer-Personas Β· Pricing-Strategy Β· Unit-Economics