Shows how demand is distributed.

💡 More diversification = better odds for small teams.

How much of the market belongs to the top 3 categories.

💡 Lower is usually better for new apps.

How hard it is to compete with category leaders.

💡 Low risk + strong niche = great launch setup.

Categories in the 4–10% sweet spot. Best for:

💡 If your idea fits here, launch odds improve.

Position in chart relative to #1. 100% = leader, lower = further down.

💡 High opportunity + low chart rank = fast riser before mainstream notice.

User satisfaction score relative to a perfect 5★.

💡 Low rating in a popular category = clear gap to fill.

Audience size relative to the most-reviewed app in the list.

💡 10–30% range = proven demand without extreme lock-in.

Composite gap score: demand × user frustration × confidence × freshness.

💡 Best workflow: sort by Unhappy → open top 3 → read 1–2★ reviews → find pain points → build faster.

Total number of people in the country.

💡 Small countries can still be premium markets — combine with GDP/cap.

Total economic output of the country (USD billions). Reflects overall market size and spending power.

💡 High GDP = larger App Store spend in absolute terms.

Average economic output per person. Best predictor of willingness to pay for apps.

💡 Higher GDP/cap = users more likely to convert on IAP or subscription.

Share of population living in cities. Urban users typically have faster internet, more screen time, and higher app spend.

Percentage of population with internet access. Defines your real reachable audience.

💡 Low internet + high urbanization = fast-growing market, act early.

Percentage of mobile users on iOS. Higher share = larger App Store audience in this country.

💡 Low iOS share means chart rankings reflect a smaller slice of total users.

Estimated number of iOS users: Population × iOS share. This is your real addressable App Store audience.

💡 A country with 1B people but 5% iOS share gives you only 50M potential users — smaller than the Netherlands on iOS.

Suggested monthly subscription range based on GDP per capita. Sets the economic ceiling — what users in this country can afford to pay.

Suggested monthly subscription range based on the median price of top paid apps in this market. Shows what users already pay — actual willingness to spend, not just economic capacity. Only visible when Top Paid chart is selected.

💡 Use both together: Sub./mo 1 sets the ceiling, Sub./mo 2 confirms what already works. If they agree — charge confidently. If Sub./mo 2 is lower — the market is more price-sensitive than GDP suggests.