Prepare your next client call with a closer look at Adjust spend, revenue and campaign performance. Connect Adjust to Catchr, then use ChatGPT or Claude to ask questions about the accounts you manage.
For freelancers and agencies, that means a practical way to investigate cost differences, compare revenue measures and identify campaigns that need a closer review.
“Compare paid media performance across my client accounts and flag the biggest changes.”
Adjust
Google Ads
GA4
Used by the world's leading companies
Start by discovering the fields available in your connected Adjust account, then select the columns that answer your client’s question. Adjust uses a live schema, so confirm the available metrics, dimensions and date options before building a query.
Review Ad Spend, Ad Spend (Attribution), Ad Spend (Network) and Ad Spend Diff to investigate differences in reported costs. Select available campaign or adgroup columns to locate the rows that need attention.
Keep attribution and network labels visible in the results so your client can see which cost measure each figure represents.
Explore All Revenue, Ad Revenue and Revenue alongside ROAS (All Revenue), ROAS (Ad Revenue) and ROAS (IAP Revenue). Choose the available measures that match the question behind your client report.
Cohort Ad Revenue, All Revenue (Cohort) and Revenue (Cohort) can support a separate cohort review when available. Keep cohort and other revenue columns clearly labeled rather than treating them as interchangeable.
Use available Clicks, Clicks (Attribution), Click Conversion Rate, Impression Conversion Rate, Click Cost and Install Cost columns to examine acquisition performance.
Choose supported breakdowns such as Country, App Token, campaign, adgroup or ad. Confirm which combinations can be queried together, then use the results to focus your next client discussion.
A focused Adjust investigation, a recurring report and a question through Catchr MCP serve different client needs. Choose the method that fits the answer you need to deliver.
Use a report to give clients a consistent view of Adjust performance. Use Catchr MCP when a specific question needs attention, such as which campaign rows show a large spend difference or fall below your chosen ROAS threshold.
Connect Adjust to Catchr using API-key authentication and select the relevant accounts. Choose ChatGPT or Claude through Catchr MCP as your AI destination, then discover the available Adjust fields.
Select your columns and confirm the supported date options before requesting a spend, revenue or acquisition analysis.
Use these prompts after connecting Adjust. Each starts with field discovery so you can confirm the columns before querying your client’s data.
Using Catchr, discover the available Adjust fields for [account] and confirm the date options for [start date] to [end date]. Ask me to select available campaign identifiers and the Ad Spend (Attribution), Ad Spend (Network) and Ad Spend Diff columns. Query the supported selection, show rows where the absolute Ad Spend Diff exceeds [difference threshold], and sort by the largest absolute difference. Keep the cost labels distinct and identify questions to investigate without assuming a cause.
Copy promptUsing Catchr, discover the available Adjust fields for [account] for [start date] to [end date]. Ask me to select campaign columns, a spend column and one available ROAS measure: ROAS (All Revenue), ROAS (Ad Revenue) or ROAS (IAP Revenue). Confirm the selected ROAS measure’s scale before applying [ROAS threshold]. Return supported campaign rows below that threshold with spend above [spend threshold], ordered by spend, and summarize which rows deserve a client discussion.
Copy promptUsing Catchr, discover the available Adjust fields for [account] and the supported date options for [start date] to [end date]. Ask me to confirm Country and choose available Clicks, Click Conversion Rate, Click Cost and Install Cost columns. Query compatible selections and rank country rows by the cost measure I select. Flag values above [cost threshold], keep missing values separate from zero, and describe the differences without inferring their causes.
Copy promptUsing Catchr, discover the available Adjust fields for [account] for [start date] to [end date]. Ask me to select App Token and available columns from Cohort Ad Revenue, All Revenue (Cohort) and Revenue (Cohort). Confirm the supported field combinations and any available cohort definitions before querying. Present the selected revenue measures by App Token without adding overlapping measures together, and draft a short client summary that notes any definition gaps.
Copy promptConnect Adjust to Catchr with API-key authentication, select the relevant accounts, then connect your AI destination through Catchr MCP. Discover the available Adjust fields before choosing the columns for your first query.
Adjust fields include Ad Spend (Attribution), Ad Spend (Network) and Ad Spend Diff. Confirm their availability and compatible breakdowns in your connected account, then request a comparison using your selected columns. A difference identifies a point to investigate; it does not establish the cause.
Available fields can include All Revenue, Ad Revenue, cohort revenue measures and ROAS measures for all revenue, ad revenue and IAP revenue. Discover your account’s live schema and select the relevant columns. Keep cohort measures separate and confirm definitions before comparing results.
Reporting queries do not modify your Adjust campaigns or source data.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
