Prepare your next client call with a clearer view of app acquisition. Connect Apple Search Ads to Catchr, then use ChatGPT or Claude through Catchr MCP to investigate spend, taps, installs and acquisition costs.
For freelancers and agencies, it is a practical way to turn a performance question into a focused analysis of the client's connected account.
“Compare paid media performance across my client accounts and flag the biggest changes.”
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Apple Search Ads
Google Ads
GA4
Used by the world's leading companies
Review Apple Search Ads performance across campaigns, ad groups, ads, keywords and search terms. Use spend and install metrics to explain results, then examine targeting and visibility for questions that need a closer look.
Bring local spend, impressions, taps and installs into the same client review. Tap-through rate shows how often impressions lead to taps, while total install rate relates installs to taps.
Use average cost per tap, acquisition and install to investigate efficiency. Separate new downloads from redownloads to explain the install mix, and keep monetary comparisons grouped by currency.
Review keyword and search-term performance to find where spend produces installs and where it needs closer attention. Use keyword IDs and ad group IDs to keep findings tied to the right targeting context.
Keyword bid amounts and currencies add context to cost-per-tap analysis. The ad group's Search Match setting shows whether automated keywords are enabled, helping frame a targeting review without changing bids or settings.
Use low and high impression share together to report a visibility range. Rank describes your app's relative impression-share position, while search popularity adds country- or region-specific search-volume context.
Review campaign countries or regions, supply sources and App Store app IDs to scope the discussion. Campaign and ad group serving-state reasons can help investigate why delivery has stopped.
A focused acquisition analysis, a recurring client report and a conversational query serve different needs. Catchr lets you use connected Apple Search Ads data in the reporting and AI tools that fit the work.
Use a recurring report to keep Apple Search Ads results visible, then ask Catchr MCP focused questions before a client meeting. Keep account scope, dates and currencies consistent when comparing the answers with your report.
Connect Apple Search Ads to Catchr using OAuth and select the relevant client accounts. Choose ChatGPT or Claude through Catchr MCP as your AI destination, then start with a question about spend, installs or keyword performance.
Include the account, reporting dates and metrics you want so the analysis starts with a clear scope.
Use these prompts to investigate acquisition costs, review targeting, explain visibility or check delivery. Replace the bracketed values with the client's account, dates and review thresholds.
Using Catchr, compare Apple Search Ads performance for [account] between [first date range] and [second date range]. Show local spend and currency, taps, installs, average cost per acquisition, new downloads and redownloads by ad group ID. Keep currencies separate, flag CPA increases above [percentage threshold], and explain which changes in spend and installs accompany those increases. Distinguish observed changes from possible explanations.
Copy promptUsing Catchr, review Apple Search Ads keyword performance for [account] during [date range]. List keyword IDs and ad group IDs with local spend above [spend threshold] and installs below [install threshold]. Show taps, average cost per tap, keyword bid amount and their currencies. Identify where a bid amount is missing rather than treating it as zero, and prioritize the results for a manual targeting review.
Copy promptUsing Catchr, review Apple Search Ads impression-share data for [account] during [date range] in [country or region]. Show the low and high impression-share bounds, rank and search popularity where available together. Flag rows whose high impression share is below [share threshold]. Explain the visibility ranges and popularity scale without presenting the bounds as exact impression-share values.
Copy promptUsing Catchr, review Apple Search Ads ad groups for [account]. List ad group IDs, serving-state reasons, start and end times, payment model, deleted status and Search Match setting. For a delivery review on [review date], highlight groups with reported serving-state reasons or schedules outside that date. Summarize the checks to discuss with the client, distinguishing reported reasons from conclusions based on dates.
Copy promptConnect Apple Search Ads to Catchr through OAuth and select the relevant accounts. Then choose ChatGPT or Claude through Catchr MCP and ask a question with the account, reporting dates and Apple Search Ads metrics you need.
Installs include new downloads and redownloads resulting from an ad. New downloads come from users without a previous install; redownloads are reinstalls by previous users. Apple Search Ads attributes installs within a 30-day tap-through window.
Read low and high impression share as the bounds of a range, rather than an exact percentage. Rank describes relative impression-share position in the same countries or regions. Search popularity uses a separate scale from 1 to 5, with 5 indicating the highest search volume.
The Apple Search Ads fields covered here support spend, taps, installs and acquisition-cost reporting. They do not include revenue, so these fields alone cannot establish ROAS. Use CPA or CPI for acquisition-cost discussions and keep those measures separate from revenue performance.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
