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Financial analysis · adoption-ready estimate
Global Migration Analytics ·
If an entrepreneur "adopted" this product today, here's the realistic math.
Fermi summary
If you close 25 institutions and researchers at an average of $1,300/year, that's $32k ARR - there's roughly an 11% chance you get there, and year-one expected take-home is around negative $24k after investment.
Market size (TAM)
$9.0M
~3,000 realistic buyers globally (academic demography departments, NGO policy units, government immigration agencies, corporate global mobility teams) × ~$3,000 avg annual subscription, heavily compressed by free UN/World Bank/IOM data alternatives
Year-1 ARR range
$6k - $110k
midpoint $32k
Investment to production
$27k
Dev: $10k for auth, billing, data refresh automation, and API hardening. Data: $5k for IOM/UNHCR data pipeline maintenance and potential lic
Probability of success
11%
P(reaching mid case in 12 months)
Expected take-home Y1
$-24000
probability-weighted, after investment
Go-to-market motion
Direct email outreach to demography department heads and NGO research leads → 15 demos/month → 2-3 closes/month at $800-$2,400 avg, supplemented by content ranking for 'migration data visualization' queries.
Key risks
- Free substitutes are genuinely good: UN DESA, World Bank DataBank, and IOM's GMDAC all provide free migration dashboards, making it hard to justify a subscription to budget-constrained academics and nonprofits
- Government and institutional procurement cycles run 12-18 months, so most serious institutional buyers (who could pay $5k-$15k/year) won't convert in year 1 at all
- Academic users prefer raw data in R/Python/Stata over dashboards - the willing-to-pay segment skews toward non-technical policy staff, who are a smaller and harder-to-reach cohort
- Migration data is politically radioactive - UNHCR methodology changes, data gaps for conflict zones, or a single viral controversy about the numbers can trigger immediate churn from institutional customers
Generated by the Wishdeal Factory financial-analysis agent. Numbers are honest Fermi estimates, not guarantees. Real outcomes depend on the operator. The studio is bullish on the engineering quality, agnostic on the business outcome.