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
4
Ranked in top 100
0
In top 10
| Keyword | Rank | Traffic | Difficulty | Ahead | Behind | Top 5 |
|---|---|---|---|---|---|---|
| contact cleaner | #13 | |||||
| clean contacts | #16 | |||||
| delete contacts | #50 | |||||
| address book cleaner | #83 | |||||
| contactswipe | Not ranked | — | — | |||
| phonebook organizer | Not ranked | — | — | |||
| contact list manager | Not ranked | — | — | |||
| contact organizer | Not ranked | — | — | |||
| phone contact cleaner | Not ranked | — | — | |||
| clean phonebook | Not ranked | — | — |
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Improve your ratings and downloads to climb the category charts.
Personalized insights generated by our AI
Contact cleaner : SwipeClean has a low visibility score (28/100) with poor keyword rankings and no category placement, while lacking user ratings. The highest priority is to boost keyword relevance and acquire reviews to improve discoverability.
Only 4 of the 10 target keywords rank, with the best position at #13 for "contact cleaner" and #16 for "clean contacts". The app misses high‑traffic terms like "delete contacts" (traffic 59) and "phonebook organizer" (traffic 43). Optimize the keyword field and metadata to capture these.
The app has a 0.0 rating with 0 reviews, which negatively impacts conversion and trust. Implement an in‑app prompt after a successful cleanup to encourage 5‑star reviews.
The current title lacks high‑traffic keywords. Adding "Contact Cleaner" and a subtitle like "Swipe to Delete Duplicate & Unwanted Contacts" can capture additional search volume and improve the Keywords Score.
The Quality Score is only 50%, indicating weak screenshots/video. Create 5 localized screenshots and a short demo video highlighting the swipe UI and safety features to boost conversion and category ranking.
The swipe‑to‑keep or delete mechanic differentiates the app from competitors like Stale Contacts Cleaner. Emphasize this in the description and promotional text to capture user interest.
Keywords such as "address book cleaner" (difficulty 35) and "clean phonebook" (difficulty 35) have decent traffic (41‑43) and moderate difficulty. Include them in the keyword list to gain quick ranking gains.
Actionable recommendations to improve your visibility
Your description is 1814 characters, providing good keyword density and information for users.
Your app was updated recently, signaling active maintenance to users and stores.
No significant issues found
Score of 28/100 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.
Contact cleaner : SwipeClean has a visibility score of 28 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 13, 2026.
Contact cleaner : SwipeClean is tracked on 10 keywords in this audit. It currently ranks in the top 100 for 4 keywords, 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 Contact cleaner : SwipeClean are Stale Contacts Cleaner, Boost Cleaner - Clean Up Smart, Eraser Cleaner-AI Super Clean. These apps appear next to Contact cleaner : SwipeClean on the keywords it ranks for, which makes them the most direct opportunities for ASO benchmarking.
Contact cleaner : SwipeClean is listed in the Utilities category on the Apple App Store.
Based on this audit, Contact cleaner : SwipeClean 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 Contact cleaner : SwipeClean.
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.