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Lesson 6: Localization and Market Expansion · Lesson 6.2

Locale-Specific Keyword Strategy

Rebuild keyword strategy from native intent instead of extending an English keyword bank globally.

By Maya Holloway · Senior ASO Strategist·Published ·Updated

Why this lesson matters

Search behavior shifts by locale, so keyword strategy should shift too.

Core idea

A locale-specific keyword strategy respects native demand, local competition, and the product’s real fit in that market.

Real-world example

A prayer-time app needs different keywords by market

One market searches for "azan times," another prefers "salah reminder," and another uses broader Islamic lifestyle language. One keyword bank cannot cover all three well.

Why the example matters

Local keyword strategy should start from how people in that market actually speak.

Let's make it clearer

Each locale needs its own keyword bank

One of the fastest ways to weaken localization is to reuse one global keyword spreadsheet for every market. Search behavior differs by country and language, and even similar terms can carry different demand strength or conversion meaning from one locale to another.

Students should maintain one bank per locale and score those banks independently. This creates more work up front, but it prevents the larger mistake of building the wrong metadata structure for a market that speaks about the problem differently.

Prioritize local relevance over translation efficiency

The most useful local keyword is not always the direct translation of the English winner. Sometimes it is a more native phrase, a more common category term, or a different way of describing the same outcome. That is why local research should guide field decisions rather than translation memory.

A good review process checks whether the localized terms still support the same positioning thesis. The words can change, but the promise should remain coherent. Strong localization adapts the language without losing the app identity.

Research local search phrasing before choosing the top terms.

Score local terms by relevance and conversion fit, not translation convenience.

Document why a local winner differs from the English version.

Step-by-step framework

Step 1

Create a fresh local seed list.

Step 2

Mine local competitors and local review language.

Step 3

Score local keywords separately from English terms.

Step 4

Map the local winners back into the metadata architecture.

Practical exercise

Create a local keyword bank for one expansion market and compare it to the English bank. Note what changes and why.

Key takeaways

Each locale needs its own keyword logic.

Global spreadsheets hide local intent differences.

Architecture should survive, but wording priorities should adapt.

Make this part of your operating cadence

A keyword bank that works in English rarely survives a literal translation. Demand differs, brand names compete differently, and category language is genuinely localized. The teams that win in new markets treat every locale as a fresh seed exercise, not a translation pass on the existing bank.

Build the locale bank with a native speaker who actively uses the App Store in that market. Linguistic accuracy alone is not enough; the missing ingredient is usually search behavior, not vocabulary.

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