GDP-Adjusted Strategy
Combine Big Mac Index data with GDP per capita for wealth-adjusted localized pricing. Best for apps targeting markets with wide income variation.
The GDP-Adjusted strategy is available on the Growth and Scale tiers.
How It Works
The GDP-Adjusted strategy takes the Big Mac Index and adds a GDP per capita correction factor. This produces pricing that accounts for both consumer purchasing power (Big Mac) and national wealth (GDP).
The result is typically the most aggressive localization — developing countries see the largest price reductions.
This strategy combines Big Mac Index purchasing power data with GDP per capita to produce a wealth-adjusted pricing factor for each country.
Example
With a base price of $4.99 USD:
| Country | Big Mac Only | GDP-Adjusted | Additional Discount |
|---|---|---|---|
| 🇬🇧 United Kingdom | £3.15 | £2.98 | −5% |
| 🇧🇷 Brazil | R$12.88 | R$9.80 | −24% |
| 🇮🇳 India | ₹171 | ₹98 | −43% |
| 🇳🇬 Nigeria | ₦520 | ₦285 | −45% |
When to Use
- Maximum reach — You want the deepest discounts in developing markets
- Growth-focused — Prioritizing user acquisition over per-user revenue
- Emerging market expansion — Specifically targeting markets like India, Nigeria, Indonesia
- Freemium with IAP — Lower friction to first purchase
Trade-offs
- Lowest per-user revenue in developing markets
- Complex model — Combines two data sources, harder to explain
- May over-discount in some markets where digital goods command premium prices
Data Sources
- Big Mac Index — The Economist
- GDP per capita — World Bank data
Both datasets are refreshed regularly.
Tier Requirement
Available on Growth and Scale tiers.