> For the complete documentation index, see [llms.txt](https://docs.tickertrends.io/tickertrends/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tickertrends.io/tickertrends/documentation-v2/2.-data-coverage-and-data-types/2.2-raw-data-types/android-app-review.md).

# Android App Review

**Overview**\
App reviews on Android’s Google Play store provide a consistent, demand-side signal that reflects how many consumers are actively engaging with an app by leaving feedback. While not yet sentiment-scored, the **volume** of reviews itself acts as a useful proxy for shifts in engagement, brand attention, and feature adoption.

**Historical Length**\
Coverage typically extends at least 2 years for most major apps, with variation depending on Google Play store availability.

**Granularity**\
Data is collected daily, giving users a steady flow of feedback and sentiment to work with. Within the platform, reviews can be aggregated to weekly or monthly periods for long-term tracking.

**Update Frequency**\
Reviews are updated monthly, usually within the first week of the new month.

**Methodology**\
TickerTrends aggregates app review data from Google Play using Similarweb. For each app, we collect:

* **Daily** review volume (how many new reviews are posted per day).
* Text snippets, Average star ratings (1 to 5), and Sentiment Analysis (upon request, contact us).

The data is structured as a time series, making it easy to correlate shifts in sentiment with app updates, outages, or marketing campaigns.

**Example Visualization**

<figure><img src="/files/AC1A73QDbZYzTjCYFgyK" alt=""><figcaption></figcaption></figure>

**Use Cases**

* Spot surges in app activity by monitoring spikes in review volume.
* Correlate review counts with product launches, marketing campaigns, or seasonal demand.
* Compare review momentum across competing apps to better understand consumer engagement.