This demo uses a fictional poster app, but it is only one example. The same analysis flow also works for SaaS, utilities, commerce, and content apps. Action Plan up top is what you'd ship; Metadata and Keywords below are the deep dive.
The listing today ranks weakly for generic poster terms. A niche pivot on star maps will drop impressions short-term but lift conversion and LTV materially. Expansion from the star-map base can reach pet portraits and custom lettering later.
The exact changes to ship. Copy each field into App Store Connect or Play Console; everything below the card is the deep dive (keywords, scoring, audit, ranks).
Apple indexes single-token keywords here. Do not copy this into the description.
These are the highest-scoring picks for this market. The metadata above already weaves them in; if you write promotional copy or screenshots, lead with these.
Current listing positions Posterly as generic wall art. The real product is a personalised star-map design tool — the metadata should reflect that niche.
Posterly — Star Map Posters
'Wall', 'art', 'best' burn characters without adding ranking value.
Custom constellations for gifts
iOS indexes title + subtitle + keywords field combinatorially. The engine avoids repeating words across fields because duplication burns indexation budget.
Reasoning behind the iOS metadata composition.
Title carries the niche. Subtitle delivers the benefit without repeating any title word. Keywords field avoids every word already present in title/subtitle to maximise combinatorial indexation.
Play values semantic density. Strategic repetition of the primary benefit helps — but keep any single term under ~6% density to stay below the spam threshold.
Reasoning behind the Play metadata composition.
Short description lands the benefit + gift trigger in 80 chars. Long description leads with a concrete scene, not a welcome message.