App Store Keyword Research Across Multiple Storefronts

Why per-storefront research is necessary, not optional

The App Store is not one global search index — it is 109 separate markets, each with its own search index, its own keyword popularity scores, and its own unique competitive landscape. A keyword that is dominant and hard to rank for in the US might be moderately popular and highly accessible in Germany, or have entirely different demand in Japan.

When you do keyword research only in your primary market, you're optimizing for one market while the other 108 remain unexamined. For an app with any international user base — even an accidental one — this leaves a large share of potential organic installs on the table.

Per-storefront research is also how you find the expansion markets worth localizing into. Rather than guessing which countries to bother with, you can look at where your target keywords have real demand (popularity above 25) and accessible competition (difficulty below your current threshold). That is a data-driven localization decision, not a geography guess.

The English-speaking markets: a high-ROI starting cluster

For English-language apps, the five core English-speaking storefronts — US, GB, AU, CA, IE — share the same language and broadly similar user behavior, but have meaningfully different keyword difficulty. The US is consistently the most competitive; the others typically run 5-20 points lower difficulty for the same terms.

This means the UK, Australia, Canada, and Ireland are often accessible secondary targets for keywords that are blocked in the US. An app that can't crack top-5 for 'habit tracker' in the US might achieve top-3 in Australia or Ireland within a single update cycle — generating real organic installs that also contribute to engagement signals.

New Zealand, South Africa, and the Philippines are further English-speaking storefronts worth checking. They have lower search volume per term, but difficulty is correspondingly very low — useful for building a ranking footprint on terms you can later challenge in the larger markets.

Furthermore, ranking well in secondary English storefronts builds aggregate download velocity and rating volume that can positively influence global app authority across the entire ecosystem.

Major non-English markets: building the localization case

The major non-English storefronts — Germany, France, Japan, Brazil, South Korea, China — each have significant search volume for apps in most categories. Users in these markets search primarily in their local language, not English. An app with only English metadata is largely invisible to these searches.

The localization case comes down to the keyword data: compare the popularity of your core keywords in German, French, or Portuguese (using the local-language equivalent terms) to the equivalent US English scores. If German popularity is above 25 for your core category term and German difficulty is meaningfully below the US equivalent, the ROI on a German localization is positive.

This is a data exercise, not a cultural assumption. Some categories are strong in Germany; others are stronger in Japan or Brazil. The keyword research tells you which markets have real demand for your specific app category, not just which markets are large by population.

When localizing metadata, avoid direct word-for-word machine translation. Native search idioms often differ from dictionary definitions. Always validate local keyword popularity using native Search Ads demand before publishing.

Emerging markets: where difficulty is near zero

In the 50+ smaller, emerging storefronts — markets like Nigeria, Pakistan, Vietnam, or the smaller LATAM countries — keyword difficulty is often extremely low. For most app categories, the top-ranking apps in these storefronts are not highly optimized, have low rating counts, and have left significant keyword real estate unclaimed.

The limitation is demand: popularity scores in small storefronts are often also low, because the absolute user base is smaller. The opportunity is apps that are already popular globally but haven't optimized for these markets — they rank by default relevance, but a well-targeted metadata update could displace them and capture the available demand.

Emerging markets are also useful as testing grounds. If you want to test whether a particular keyword set generates installs before committing to it in a competitive major market, ranking for it in a low-difficulty emerging market gives you a real-world signal with minimal competitive pressure.

Capturing early market share in emerging regions can establish long-term defensibility as smartphone penetration and digital purchasing power continue to expand in these economies.