How your app performs across different visibility factors
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Start tracking for freeYour app's position for key search terms
10
Keywords analyzed
1
Ranked in top 100
0
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| donotbuy | #39 | |||||
| shopping list | Not ranked | — | — | |||
| impulse tracker | Not ranked | — | — | |||
| spending control | Not ranked | — | — | |||
| savings goal | Not ranked | — | — | |||
| geofence alert | Not ranked | — | — | |||
| shopping habit | Not ranked | — | — | |||
| expense tracker | Not ranked | — | — | |||
| mindless spending | Not ranked | — | — | |||
| purchase reminder | Not ranked | — | — |
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Occurrence count shows how many keywords each competitor appears on
Finance chart position
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
The app has a critical visibility problem (5/100 score) with only one keyword ranked (donotbuy at #39) and no chart presence, compounded by zero ratings and a modest 50% quality score. Immediate focus must be on keyword optimization, metadata enhancement, and gathering user reviews to lift rankings.
Only 1 of the top 10 target keywords ranks (donotbuy #39). High‑traffic keywords like "shopping list" (traffic 55) and "expense tracker" (traffic 71) are not ranked, indicating poor keyword relevance and placement.
The app shows a 0.0 rating with no reviews, which heavily penalizes discoverability and conversion. A lack of social proof also drags the quality score down to 50%.
Current title "Shopping List - DoNotBuy" does not leverage high‑traffic terms. Adding a primary keyword (e.g., "Shopping List & Impulse Tracker") can improve relevance for both "shopping list" and "impulse tracker" searches.
Replace low‑traffic/duplicate terms with high‑traffic, low‑difficulty keywords such as "expense tracker" (traffic 71, difficulty 53), "savings goal" (traffic 68, difficulty 51) and "geofence alert" (traffic 39, difficulty 34). Aim for a keyword density that hits at least 5‑7 ranked terms.
The app addresses a niche pain point (real‑time geofence alerts to prevent impulse purchases) that few competitors target, giving a content‑driven advantage if highlighted in screenshots and description.
Competitor Staycool is ahead with only 1 shared keyword. By capturing the other high‑traffic keywords Staycool does not rank for, you can carve a distinct niche in the Finance category.
Actionable recommendations to improve your visibility
Your description is 3169 characters, providing good keyword density and information for users.
Your app was updated recently, signaling active maintenance to users and stores.
Not ranking in top 50 for generic keywords. Consider optimizing title and description with relevant search terms.
Score of 5/100 suggests room for ASO optimization. Focus on keywords and category ranking.
Improving ratings and downloads can help reach category top charts.
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Common questions about this ASO audit.
Shopping List - DoNotBuy has a visibility score of 5 out of 100 on the Apple App Store (US). The score combines keyword rankings, top charts presence, and listing quality signals like rating and update recency. This audit was generated on May 17, 2026.
Shopping List - DoNotBuy is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 1 keyword, with 0 keywords reaching the top 10. Ranking in the top 10 is where most discovery traffic happens.
Based on shared keyword rankings, the most frequent competitors of Shopping List - DoNotBuy are Staycool, TEMO BRO OUTLET. These apps appear next to Shopping List - DoNotBuy on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Shopping List - DoNotBuy is listed in the Finance category on the Apple App Store.
Based on this audit, Shopping List - DoNotBuy should focus on the keywords where it ranks 11 to 50 (closest to the top 10), benchmark its title and subtitle against the most frequent competitors, and refresh its listing regularly to maintain quality signals. The full audit lists specific weaknesses, opportunities, and AI-generated suggestions tailored to Shopping List - DoNotBuy.
This audit was generated automatically by Applyra by scraping public Apple App Store data: app metadata, keyword rankings, category positions, and competitor listings. Visibility, keyword and listing quality scores are computed from those signals. Audits are free and do not require an Applyra account.