Prepare your next client call with a clearer view of app feedback. Connect App Store Review to Catchr, then use ChatGPT or Claude to explore ratings, examine reviews and summarize customer concerns.
For freelancers and agencies, it brings review data into the same conversation as your reporting questions, from the star distribution to the feedback behind a low rating.
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App Store Review
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Start by discovering the columns available for your connected App Store Review account, then select those needed for your question. Use the available rating metrics and review details to build a focused client briefing.
Use Average Rating, Review Count and the One Star through Five Stars counts to describe the app’s rating profile. Showing the distribution alongside the average helps clients see how strongly positive and negative ratings are represented.
Confirm the scope of these summary metrics before comparing accounts or periods. Keep aggregate app ratings separate from calculations based on individual review rows.
Explore Rating with Review Title and Review Text to identify recurring concerns and positive feedback. Keep Review ID with supporting excerpts so each observation can be traced to a returned review.
Use Review DateTime to focus an investigation when date filtering is available. Turn the selected reviews into practical talking points for a client meeting, with examples supporting each theme.
Read Reply Text alongside the original Review Text and Rating to understand the response shown for each review. Flag returned reviews with an empty reply field for follow-up checks, particularly among low ratings.
An empty Reply Text field does not establish why a reply is absent. Use it as a reporting signal to verify, rather than proof that a review has been ignored.
A focused review investigation, a client report and a question through Catchr MCP serve different needs. Choose the method that fits whether you need to examine feedback, present a consistent summary or ask a follow-up question.
Use a report to keep client discussions consistent, then use Catchr MCP to investigate questions about the ratings, review text or replies. Keep conclusions tied to the accounts and review records actually queried.
Connect App Store Review in Catchr using API-key authentication and select the relevant accounts. Choose ChatGPT or Claude through Catchr MCP, then discover the available columns before asking your first review question.
Start with a specific account and a small set of selected fields. For time-based questions, confirm which date filters the connection supports before requesting a comparison.
Replace the bracketed values with your client account, reporting dates or rating threshold. Each prompt starts with column discovery so the analysis uses fields available to your connection.
Using Catchr, discover the available App Store Review columns for [account]. Select the available Average Rating, Review Count and One Star through Five Stars metrics. What does the returned star distribution show? Present a concise client briefing, confirm the scope of the metrics and explain any differences between Review Count and the sum of the star counts without assuming a cause.
Copy promptUsing Catchr, discover the available App Store Review columns for [account]. Select Review ID, Rating, Review Title, Review Text and Review DateTime where available. Confirm date filtering, then examine reviews from [start date] to [end date] with a rating at or below [rating threshold]. Which concerns recur in the returned review text? Group the themes, count distinct supporting Review IDs and include a short excerpt for each. State the query coverage and do not infer feedback missing from the text.
Copy promptUsing Catchr, discover the available App Store Review columns for [account]. Select Review ID, Rating, Review Text, Reply Text and Review DateTime where available. Among the returned reviews rated at or below [rating threshold], which have an empty Reply Text field? Produce a follow-up table ordered by rating, then by review date if available. Explain that an empty field needs verification and does not prove no reply exists.
Copy promptUsing Catchr, discover the available App Store Review columns for [account] and confirm date filtering. Select Review ID, Review DateTime, Rating and Review Text where available. How does the returned feedback in [first date range] compare with [second date range]? For each period, count distinct reviews, calculate the average individual Rating when valid and summarize recurring themes with supporting Review IDs. Keep these review-level calculations separate from the app’s Average Rating metric and state any coverage limits.
Copy promptYou can explore available app rating summaries, counts for each star level and individual review details. Review fields include Rating, Review Title, Review Text, Review DateTime, Review ID, Reviewer and Reply Text. Discover the connected account’s columns before selecting fields for a query.
Connect App Store Review in Catchr using API-key authentication, select the relevant accounts and choose ChatGPT or Claude through Catchr MCP. Then discover the available columns and ask a question scoped to the account you want to analyze.
Average Rating describes the app’s average rating. Rating is the score given by an individual reviewer. An average calculated from selected review rows describes that returned set and should not be presented as the app’s Average Rating without confirming that their scopes match.
Review DateTime and normalized date columns are listed for this source. Confirm the available columns, date filtering and returned coverage before comparing periods. Available historical depth and supported reporting intervals are not specified, so a date column alone does not guarantee complete coverage for your chosen period.
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