Prepare your next client review with answers about app discovery, downloads and installs. Connect App Store Connect to Catchr, then use ChatGPT or Claude through Catchr MCP to explore the numbers and investigate changes.
For freelancers and agencies managing app reporting, start with a practical question: which download sources changed, which pages attracted attention, or how review ratings compared across periods?
“Compare paid media performance across my client accounts and flag the biggest changes.”
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Build your analysis around the stages that matter to your client: how people encounter the app, where downloads come from and what happens after installation. Keep metric definitions and available dates visible when preparing your report.
Explore Impressions, Total Impressions, Tap, Page View and Product Page View alongside engagement campaign tokens and page titles. Use these fields to compare attention across product pages and in-app event pages.
Impressions exclude page views, while Total Impressions include them. Product Page View includes both product page and in-app event page views, so explain the measure you select in client reporting.
Analyze Downloaded Count by source type, source info, device, campaign token, page title or page type. Use these breakdowns to identify where download volume increased or declined during your reporting period.
Explore Install Count and Uninstall Count with their available source, device and page breakdowns. Keep downloads and installation events separate in your interpretation. The Install / Uninstall Count measure covers unique devices generating events among users who agreed to share their data with Apple and developers.
Use Review Rating and review creation dates to summarize feedback across reporting periods. Show the distribution of ratings to give clients more context than an average alone.
Explore the available sales dimensions, including country code, product type identifier and device. Subscriber, subscription and subscription event data also include country fields for purchase-region context. Choose fields from each dataset before deciding how to present them together.
A focused app investigation, a recurring client report and a follow-up question serve different needs. Use the same reporting question to decide whether to analyze a specific dataset, assemble a report or query connected data through Catchr MCP.
Use a report to keep client reviews consistent, then use Catchr MCP to investigate questions such as which devices contributed to a download change. Keep the account, dates and metric definitions consistent across both workflows.
Connect App Store Connect to Catchr using API-key authentication and select the relevant accounts. Choose ChatGPT or Claude through Catchr MCP, then ask about the app data available for your selected account and dates.
Start by checking coverage for the datasets you need. An empty analytics result can mean that no report data is available, including for a draft app; it should not be treated as proof of zero activity.
Use these prompts to investigate discovery, download sources, installation activity and review ratings. Replace the bracketed values with your client account, dates and reporting thresholds.
Using Catchr, compare Impressions, Tap and Product Page View by Engagement Page Title for [account] during [current date range] and [previous date range]. Which page titles show the largest changes in each measure? Show absolute and percentage changes where the prior value supports the calculation, explain the metric definitions and flag missing date coverage.
Copy promptUsing Catchr, compare Downloaded Count by Downloaded Source Type and Downloaded Device for [account] during [current date range] and [previous date range]. Which source and device combinations contributed most to the change? Show both period totals and the absolute change, highlight changes above [download threshold], and identify any gaps in coverage.
Copy promptUsing Catchr, summarize Install Count and Uninstall Count by Install / Uninstall Device and Install / Uninstall Source Type for [account] from [start date] to [end date]. Which groups have uninstall counts above [uninstall threshold]? Present the two measures separately, flag missing dates and explain why these totals alone do not establish a user retention rate.
Copy promptUsing Catchr, analyze Review Rating using review creation dates for [account] during [current date range] and [previous date range]. How has the distribution of ratings changed? Show the number of available reviews at each rating and the average rating for each period, and flag periods with fewer than [minimum review count] reviews.
Copy promptConnect App Store Connect in Catchr with API-key authentication, select the relevant accounts and choose ChatGPT or Claude through Catchr MCP. Begin with a question that specifies the account, date range and app metrics you want to examine.
Impressions count views of your app icon in lists such as search results, charts and App Store tabs, excluding page views. Total Impressions include page views. Use the same measure across comparison periods.
Yes. Downloaded Campaign contains the campaign token created in App Analytics and can be used with Downloaded Count. The campaign column is available starting November 19, 2024. Engagement and install/uninstall data also include campaign-token dimensions.
Missing days in a partially available date range are omitted, not filled with zeros. A draft app may also have no generated analytics report data. Ask for date coverage before comparing periods, and keep unavailable data separate from measured zero activity.
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