DistributionEmerging Pattern

Use app store autocomplete suggestions to identify high-intent, low-competition keywords

Q: How many founders have validated "use app store autocomplete suggestions to identify high-intent, low-competition keywords"?

1 founder has proven this pattern works. Examples include John Makavoy (Murmigo).

The first 1-2 autocomplete suggestions in app stores represent the highest-intent searches - most users tap on these without typing the full query. By targeting these specific autocomplete phrases, you can rank for searches people actually complete, not just type.

When to use

When optimizing for mobile app discoverability and wanting to find keywords people actually tap on

Don't do this

Targeting only high-volume generic keywords without considering what users actually select from autocomplete

1 Founder Who Did This

Murmigoby John Makavoy

Typed first few characters of search terms in App Store, observed autocomplete suggestions, targeted specific phrases that appeared in first 1-2 positions since most people tap those immediately

Result:Could rank in top 5 for targeted keywords because they were specific enough to have lower competition

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