Research answer
What AppTrendKit can say about Shoe Race today
Shoe Race 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 Shoe Race 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 |
|---|---|---|---|---|
| race 3d | #14 | new | 76 | 67 |
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
- 3.2.6
- Released
- Mar 15, 2021
- Last updated
- Sep 16, 2026
- Content rating
- +12
- Default storefront
- BR
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
There is a right shoes to match different surface types. Choose the right shoe on time to gain speed and beat your opponent. A different shoe is waiting to be unlocked on each level. Use your fashion sense to decide which to wear on and beat your opponent in style! All the baddies are wearing high heels for the red carpet! If you want to walk like a QUEEN always choose the right shoe! It makes you faster, more chic and unbeatable! Wear your high heel proud and stand tall while photographers are taking pictures of you! Race with your style and show them how baddie you are! Don’t forget to bring your favorite shoes! Shine like a QUEEN! Customize your character and control your style! Unlock special characters to walk up the podium in your high heels! Become a ballerina or japanese lolita. Choose your character for every shoe. That’s a great game, fun game, the most fashionable race game and an epic way of showing how fabulous you are. Win the fashion world in style! Step up your style! Join the shoe run! Dress up, glam up and show them that you are a FASHION GIRL! For ice - choose figure skates. For run bring your sneakers. Fabulous girls always figure out how to walk with style! IGRS rating: 13+
Publisher websiteStore creative
Screenshots
Competitive set
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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 27, 2026, 9:39 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 27, 2026, 9:39 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology


