Sacar agua・Expulsar aplicacion
Research answer
What AppTrendKit can say about Sacar agua・Expulsar aplicacion today
Sacar agua・Expulsar aplicacion has no estimate-backed download or gross-consumer-spend figure that meets the public evidence contract yet.
Observed App Store metadata, chart positions, and history are shown below. Missing, non-finite, undefined-currency, or undefined-metric evidence stays missing rather than becoming zero.
Performance
Downloads, revenue and chart history
Estimates for the last 7D. Chart positions come from the App Store; downloads and revenue are AppTrendKit estimates, shown as a size band (for example 10K–50K) with a confidence level.
Estimated downloads · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
Estimated App Store gross consumer spend · 7D
UnavailableNo estimate yet
We only show an estimate once we have enough data. Missing numbers are never shown as zero.
History
Collected daily performance
No daily history yet.
Rank history
Chart positions
Lower rank is better. Only collected observations are shown.
Coverage note
What the ranks mean
A missing rank is not treated as zero downloads or zero revenue. Apple chart feeds are bounded and may return censored or not-ranked observations outside the visible chart depth.
Read the methodApp Store search
Keywords Sacar agua・Expulsar aplicacion ranks for
Observed positions in Apple's US search results, best first. Popularity is a 0–100 index, not a search count.
| Keyword | Position | Change | Popularity | Difficulty |
|---|---|---|---|---|
| agua | #4 | new | 22 | 19 |
| clear wave | #9 | new | 68 | 59 |
| cleaner | #23 | new | 82 | 71 |
Storefront mix
Top countries by estimated contribution · 7D
Country figures cover the days we collected in each country, so they don't add up to the worldwide estimate. Each country shows when it was last updated.
Monetization
How the app makes money
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.0.4
- Released
- Nov 22, 2022
- Last updated
- Mar 13, 2023
- Content rating
- 4+
- Default storefront
- UA
Public IAP observations
Validated in-app purchase prices
Only persisted rows with an explicit public publication boundary are shown. Missing price, currency, country, or date values stay unknown.
Listing detail
What the store says
Wave Clean is a quick way to clean dirt, dust, and water from your speaker. With the Wave Clean app you can clean and remove water from your speaker . This simple process of cleaning from your speaker is very easy, and it is over 80% effective (based on our tests). The Wave Clean app uses sinusoidal sounds at frequencies from 0 to 80 hZ to remove dust and dirt from the speaker. The sound waves cause the speaker to vibrate and shake off any dust stuck inside. With the app you can: CHANGE THE SPEAKER In our app you can change the speaker you want to clean. You can clean just a small one or all at once. CHANGE THE CLEANING SOUND WAVE Use different types of sound waves for deeper cleaning. You may also need to clean with different types of sound waves if it is seriously dirty. TEST THE MICROPHONE Use the microphone test to make sure that your microphone is not dirty. If your microphone is dirty, we recommend that you contact a specialized repair center. Warning: Some features are only available in the Premium Version. Subscription price (Price may change depending on your country): 1-week subscription - from US$ 2.49 IMPORTANT NOTES: ● Position the phone so that the speaker is facing downward. Turn the volume to maximum. ● Disconnect the headphones if they are connected. TERMS OF USE: http://toptopapps.site/terms.html PRIVACY POLICY: http://toptopapps.site/privacy.html
Store creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 28, 2026, 6:44 PM.
Rankings: collected chart positions from the listed storefront. Missing ranks are not zeros.
Economics: downloads and gross store consumer spend are estimated, not official Apple or publisher figures.
Model: Lineage not exposed by this aggregate.
Confidence: —; intervals widen when evidence or history is limited.
Last updated: Sep 28, 2026, 6:44 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology