Keyword Relevance

Definition

Keyword Relevance measures how closely a keyword relates to an app's actual functionality and purpose. It's a critical evaluation criterion in Keyword Research — a high-volume keyword is worthless if it's not relevant to your app, because: (a) the algorithm may not rank you for it even with perfect metadata placement, and (b) users who find your app through irrelevant keywords won't install or retain, damaging Quality Score.

Keyword Relevance is distinct from Relevance Score, which is the algorithm's composite assessment of metadata-to-query match quality.

How It Works

Relevance operates at two levels:

1. Algorithm-level relevance:

App store algorithms assess whether a keyword legitimately describes an app:

• Apple: Evaluates whether keyword usage in title/subtitle/keyword field makes sense given the app's category and function. Misleading keywords can trigger app rejection.
• Google Play: Semantic NLP evaluates whether the app's overall description and functionality match claimed keywords. Topical clustering checks coherence.
• Amazon: Less documented, but general relevance principles apply.

2. User-level relevance:

Even if the algorithm ranks your app for a keyword, users evaluate relevance through:

• Does the title/subtitle suggest this app does what I searched for?
• Do screenshots show the feature I need?
• Does the description confirm relevance?

Irrelevant rankings → low Tap-Through Rate → low Conversion Rate → algorithm demotion. The system self-corrects.

Relevance scoring in tools:

ASO tools like AppTweak provide Relevance Scores (0-100) based on:

• Whether the keyword appears in the app's metadata
• The app's category and functional classification
• Historical ranking stability for that keyword
• User behavior signals (install rate from that keyword)

Best Practices

1. Only target keywords your app genuinely serves — a meditation app should not target "fitness tracker" even if it has high volume.

1. Weight relevance highest in your evaluation — in the standard formula, relevance should be ~35% of priority score. A relevant low-volume keyword outperforms an irrelevant high-volume keyword.

1. Use the "would I click?" test — if a user searched this keyword and saw your app, would they understand why it appeared? If not, the keyword isn't relevant.

1. Monitor keyword-to-install conversion — if you rank for a keyword but get very few installs from it, relevance may be the issue.

Dependencies

Influences (this term affects)

• Relevance Score — keyword relevance is a component of the overall relevance score
• Conversion Rate — relevant keywords attract users who actually install
• Retention Rate — users who found the app through relevant keywords retain better
• Quality Score — relevant installs improve quality signals

Depends On (affected by)

• Keyword Research — research process must evaluate relevance
• App Title — title keywords define core relevance identity
• Category Optimization — category choice affects what keywords are considered relevant

Related Terms

• Relevance Score
• Keyword Research
• Search Volume
• Keyword Difficulty
• Long-tail Keywords

Sources & Further Reading

• AppTweak: Keyword Relevance Scoring
• App Radar: Keyword Difficulty and Relevance