What Would You Choose? Rather
Research answer
What AppTrendKit can say about What Would You Choose? Rather today
What Would You Choose? Rather 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 · 30D
Upper limitUnder 200K
Below the top 100 in Games (US)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
Estimated App Store gross consumer spend · 30D
Upper limitUnder $5M
Below the top 100 in Games (US)
The app is not in its category's top 100, so it has less than the app ranked #100 there. We show this limit until we have enough data for an estimate.
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 What Would You Choose? Rather 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 |
|---|---|---|---|---|
| crack | #10 | new | 73 | 63 |
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
- 9.0.1
- Released
- Apr 8, 2017
- Last updated
- Jun 16, 2026
- Content rating
- 17+
- Default storefront
- US
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
Would You Rather is a fun and addicting game where you have to choose between two difficult scenarios. This app contains hundreds of the best hand-picked Would You Rather questions Features: - Hundreds of questions - Vote for your favorite option and view real time statistics on what one is more popular _ Frequently updated with more content - 2 game modes to try. Normal and Adults (18+) - Submit your own questions to be added into the game - Works offline. No Wi-Fi is required to play this game Would You Rather is a great game to play with your family or friends to start conversations. What are you waiting for? Grab your friends and have a fun by playing a game of What Would You Choose. This app contains an auto-renewing subscription for $3.99 per week. Once subscribed, you can cancel your subscription at any point. Terms of Service: https://sites.google.com/view/dh3games-terms-of-service/home Privacy Policy: https://sites.google.com/view/dh3games-privacypolicy/home
Publisher websiteStore creative
Screenshots
Competitive set
Similar apps
Deterministic links to real stored apps matched by category, publisher, and comparable performance bands.
General Knowledge Trivia Quiz.
DH3 Games Ltd
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Love Tester - Crush Test Quiz
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How we estimate
Where every number comes from
App details: Apple iTunes Search API, updated Sep 28, 2026, 3:51 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, 3:51 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology



