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After three years of use, Catchr has become essential for both our teams and our clients. So far, it has been our best solution for compiling and analyzing data from different advertising platforms. It’s easy to set up, and the customer service is responsive and excellent.
With Catchr’s automated API, we can finally collect and centralize all advertising data, connect it with booking information, and calculate the real ROAS for our restaurant clients. It gives them full visibility, more autonomy, and the ability to optimize campaigns to maximize ROI.
The solution is a real game changer, providing optimal time savings for our data reporting. The major strength of the solution is their highly responsive and professional support.
Add Appstore Review in Catchr and enter the numeric app ID from its Apple URL. For a URL ending in id310633997, use 310633997. Configure additional app IDs separated by commas if needed. Select the app and country in the Catchr data source, then connect it to Looker Studio. Start with Review DateTime, Review Title, Rating, and Review Text to confirm that you are viewing feedback for the intended app.
Yes. Catchr provides a country setting using two-letter country codes, with US as the default. Create separately labeled data sources or views when comparing storefronts so the country selection stays clear. Apple reports summary ratings by territory, so a US score is not a worldwide score. The country is a connection setting rather than a country field attached to each review; retain that context when combining exported results.
Apple's summary rating is territory-specific and includes ratings submitted without a written review. Developers can also reset it for a new release while older written reviews remain visible. Your dashboard may average a different set of dated review rows. Check the storefront, review period, and any rating reset before comparing values. Verify numeric formatting as well: a five-star rating should not be presented as an unexplained percentage. See Apple's ratings and reviews guidance.
This connector is dedicated to reviews. Its fields cover review titles, text, ratings, dates, reviewer names, reply text, and separate current app rating summaries. It does not expose download, sales, subscription, or app-version metrics. For app business reporting, use the separate App Store Connect source and select the relevant dataset. Keep feedback and commercial metrics distinct when bringing them into the same dashboard.
Yes, when Reply Text is returned. Build a table of low-rated reviews with their title, text, and reply, then inspect reviews with no reply text as potential follow-ups. Confirm their current state in App Store Connect before responding. The Catchr review catalog does not include a reply timestamp or a response-edit history, so it cannot directly calculate response time. Publish and manage responses in App Store Connect.
Count distinct Review IDs grouped by Review DateTime and average valid Rating values for the same period. App-level Review Count, Average Rating, and star-count fields are current summaries, not historical snapshots. Keep them in separate charts because Catchr cannot request global summaries together with individual review fields. A rating trend around a release can highlight feedback worth investigating, but this catalog has no app-version field to attribute each review to a specific release.
A single request is not a complete archive. Catchr pages through the selected storefront's reviews until results end, the requested date boundary is reached, or roughly 1,000 matching reviews have been collected. Narrow the dates for high-volume apps and check the returned coverage. The app's current summary count can exceed the written review rows retrieved. For cross-platform analysis, add Google Play reviews separately and preserve each source's country or language settings.
Our team is always here to answer any questions you may have about our data connector.
