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TL;DR
Supasit (“Gank”) grew his AI calorie-counter Nับ Khao to ~$400K ARR and top-10 in Thailand health & fitness in under a year by ignoring the US entirely and dominating his home market first. Localization isn’t translation — it’s cultural adaptation (e.g. Thai meal-sharing forced a food-portion-split feature), cheaper CPMs, and pricing matched to local purchasing power. This source belongs to the app-masters-youtube batch.
Biggest lessons
- Start in your home country. You know the customer “like family,” ASO is far easier, and CPMs are ~500% cheaper — Thailand CPM was 17 baht vs ~94 baht UK. Dominate locally, then expand with the resulting cash.
- Localization ≠ translation. Cultural insight drove product: Thai diners share dishes, so the app added portion-splitting (divide calories by 4). Thai users also prefer Thai-font apps and distrust default-system-font “foreign” apps.
- Validate market size with DataReportal.com (free). Gank used digital-spend-per-country reports to confirm Thailand’s ~$1B digital market before building, and to compare purchasing power across countries.
- Meta first, ASO second. Ran lead-gen/landing-page tests, then install campaigns (~$1,500/mo for one month) to warm the account, then start-trial campaigns at ~$300/day; App Masters layered ASO on top once revenue was proven.
- Keep it broad and simple. Broad Advantage+ targeting beat his own audience selection; reuse winning install creatives in trial campaigns; hit $10K/mo in ~4 months.
- Pricing must match local power. US pricing fails abroad; check competitors’ in-app purchase rankings per country and consider free+ads where users demand free apps.
Why it matters
- This is the wiki’s anchor case for app-localization as a growth channel, not an afterthought.
- Demonstrates the Meta-then-ASO sequencing variant and validates DataReportal as a market-research tool.