Prepare your next client call with answers from your connected AppsFlyer data. Use Catchr MCP to ask ChatGPT about campaign costs, purchase activity and user engagement, using the fields available for your selected account.
For freelancers and agencies, it is a practical way to investigate performance and turn reporting questions into focused client talking points.
“Compare paid media performance across my client accounts and flag the biggest changes.”
AppsFlyer
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GA4
Used by the world's leading companies
Start by discovering the available AppsFlyer columns, then select the metrics and dimensions that answer your client’s question. Field availability comes from a live schema, so confirm compatible selections and date options before building a report.
Explore available fields such as Cost, Total Cost, Clicks, CTR and Conversion Rate alongside Campaign, Campaign ID or Campaign Type. Where supported together, use Adset and Ad dimensions to narrow a campaign review.
Select the relevant cost measure and reporting scope before comparing results. Keep Cost and Total Cost separate unless their definitions support combining them.
AF Purchase (Sales) measures the total sales amount for purchases. AF Purchase (Event Counter) counts purchase events, while AF Purchase (Unique Users) counts users who made a purchase.
Use these available columns to distinguish purchase volume from purchaser reach. Revenue, Activity Revenue and Total Revenue can also support reporting when available, but their names alone do not establish that they measure the same thing.
Discover available engagement columns such as Sessions, Activity Sessions, AF Login (Event Counter), AF Login (Unique Users), AF Complete Registration (Unique Users) and AF Add to Wishlist (Unique Users).
Choose compatible fields to compare activity across supported campaign breakdowns or reporting periods. Report each event’s user count separately; these counts do not establish a sequence from registration to login to purchase.
A focused AppsFlyer investigation, a client report and a question through Catchr MCP serve different needs. Choose the approach that fits the answer or deliverable you need.
Use source-focused analysis to investigate an AppsFlyer question, a reporting destination to present selected results, and Catchr MCP to ask follow-up questions about connected data. Keep the account, date scope and metric definitions consistent when moving between them.
Connect AppsFlyer to Catchr using API-key authentication and select the relevant account. Choose ChatGPT or Claude through Catchr MCP for your AI workflow, then discover the available AppsFlyer fields.
Select your columns and confirm supported date filtering before asking about campaigns, purchases or user activity.
Use these prompts with your connected AppsFlyer account. Each starts with field discovery so you can confirm the available columns before requesting an analysis.
Using Catchr, discover the available AppsFlyer columns and date filters for [account]. Ask me to select compatible campaign, cost and click columns. For [start date] to [end date], identify campaigns with cost above [cost threshold] and clicks below [click threshold]. Show the selected values and campaign identifiers, and list questions to investigate before recommending changes.
Copy promptUsing Catchr, discover the AppsFlyer purchase fields and compatible campaign dimensions for [account]. Ask me to confirm the available columns for purchase sales, purchase event count and unique purchasers. For [start date] to [end date], compare the selected measures by campaign and calculate purchase events per unique purchaser where the denominator is greater than zero. Keep unique-user counts at the returned reporting level and explain what the ratio measures.
Copy promptUsing Catchr, discover available AppsFlyer session, login, registration and wishlist activity columns for [account]. Ask me to select compatible metrics and a supported breakdown. Compare [first date range] with [second date range], using supported date filters, and show absolute and percentage changes where valid. Summarize the largest changes for a client call without treating separate event counts as a user funnel.
Copy promptUsing Catchr, discover the available AppsFlyer revenue and purchase-sales columns for [account], including any available descriptions. Ask me to choose the columns to review for [start date] to [end date] and a compatible reporting breakdown. Display the selected measures side by side, identify differences in their returned values, and flag definitions that need clarification before choosing a client-report revenue metric. Do not add the revenue columns together.
Copy promptConnect AppsFlyer in Catchr using API-key authentication, select the relevant account and choose ChatGPT through Catchr MCP. Discover the available AppsFlyer columns, then select the fields and supported date scope for your first question.
AF Purchase (Sales) is the total sales amount for purchases. AF Purchase (Event Counter) counts purchase events. AF Purchase (Unique Users) counts users who purchased. These measures answer different questions, so keep them separately labeled in client reports.
AppsFlyer fields include Campaign, Campaign ID, Adset, Adset ID, Ad and Ad Id. Discover which dimensions are available and compatible with your selected metrics before requesting a breakdown. Do not assume every event metric supports every dimension.
Available date dimensions can include day of the week, hour of the day, month, quarter and week of the year. Confirm the date filters and breakdowns exposed for your selected fields before comparing periods. These dimensions alone do not establish the available history or reporting granularity.
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