Google Opinion Rewards
Research answer
What AppTrendKit can say about Google Opinion Rewards today
AppTrendKit estimates Google Opinion Rewards's App Store USD gross consumer spend at $198–$1.4K and downloads at 223–1.8K during 2026-08-09 to 2026-09-07 (30-day window) with storefront contributor coverage unavailable.
These are modeled public App Store estimates, not official publisher-reported figures. Storefront scope is stated only when persisted contributor lineage identifies it.
Performance intelligence
Observed trajectory and estimates
Store ranks are observations. Downloads and gross store consumer spend are AppTrendKit estimates and only appear when persisted evidence exists.
Estimated downloads · 30D
Modeled223–1.8K
Likely range · modeled estimate
Estimated App Store gross consumer spend · 30D
Modeled$198–$1.4K
Likely range · modeled estimate
Estimated downloads · 7D
Modeled223–1.8K
Likely range · modeled estimate
Estimated App Store gross consumer spend · 7D
Modeled$198–$1.4K
Likely range · modeled estimate
Evidence history
Collected daily performance
1 observed day · missing days are left blank
| Date | Downloads | Gross store revenue | Confidence |
|---|---|---|---|
| Sep 7, 2026 | 631 | $534 | 16% |
Rank history
Observed 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 methodStorefront mix
Top countries by estimated contribution
Country estimates are aggregated only after country-level predictions exist.
| Storefront | Revenue | Share | Downloads | Rank | Confidence |
|---|---|---|---|---|---|
| United KingdomGB | $534 | 100.0% | 631 | — | 1% |
Monetization
Observed store economics signals
These are listing and product observations. They are not company revenue, subscriber counts, or advertising revenue.
App details
Store metadata
- Version
- 1.26.081700
- Released
- Aug 20, 2019
- Last updated
- Aug 25, 2026
- Content rating
- 17+
- Default storefront
- GB
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
Your opinions are valuable. Now get paid to share them with the Google Opinion Rewards app. How it works: You answer quick surveys and get paid up to $1 for each completed survey via your PayPal account. Surveys typically take less than 20 seconds. Easy to use: You'll receive a notification when a short survey is waiting for you. These surveys include everything from opinion surveys to hotel and product reviews to location-based merchant satisfaction surveys. Your privacy: When you take a survey using Google Opinion Rewards, your answers are aggregated and shared with the market researcher who wrote the survey questions. Unless otherwise explicitly stated at the beginning of the survey, as is the case with location-based surveys, these answers are completely anonymous and not linked to any of your personally identifiable information. In exchange, we provide you, the user, money that is deposited into your linked PayPal account. For more information regarding the privacy of your survey responses, see the Google Privacy Policy https://www.google.com/intl/en/policies/privacy/.
Publisher websiteStore creative
Screenshots
Competitive set
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Methodology and provenance
Read every number with its evidence
Metadata source: Apple iTunes Search API; observed Sep 7, 2026, 8:39 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: No persisted model version.
Confidence: 1%; intervals widen when evidence or history is limited.
Last observation: Sep 7, 2026, 10:12 PM.
See how AppTrendKit separates observations, estimates, coverage, and confidence.
Open methodology