Prepare your next client call with a clearer view of StackAdapt performance. Connect your account to Catchr, then use ChatGPT or Claude through Catchr MCP to explore campaign costs, conversions and ROAS.
For freelancers and agencies, it is a practical way to investigate individual campaigns and turn connected advertising data into focused client reporting.
“Compare paid media performance across my client accounts and flag the biggest changes.”
StackAdapt
Google Ads
GA4
Used by the world's leading companies
Start by discovering the columns available for your connected StackAdapt account and selecting those relevant to your report. Use the available advertiser, campaign and channel dimensions to give performance figures useful context.
Use Cost, Impressions, Clicks and CTR to review how campaigns are delivering and generating engagement. Average Impression Time adds another measure to explore where available.
Select Campaign Name, Channel Name and Channel SubType Name to organize the review. This helps you identify campaigns that deserve a closer look before preparing client recommendations.
Review Conversions, CVR, Conversion Revenue and ROAS alongside campaign cost. For a more detailed conversion discussion, select Click Conversions, Impression Conversions and their corresponding conversion rates.
Keep Secondary Conversions and Cookie Conversions clearly labeled. Revenue and Conversion Revenue are separate available fields; choose the measure relevant to your question and retain its label in the report.
Organize client reporting with Advertiser ID, Advertiser Name, Campaign Group ID and Campaign Group Name. Keep Campaign ID alongside Campaign Name when you need to distinguish similarly named campaigns.
Use Campaign State, Campaign Status, Is Archived and Is Draft to explain which campaigns are included. Frequency Cap Limit, Frequency Cap Expiry and Budget Rollover provide additional settings to inspect when reviewing campaign context.
A focused StackAdapt investigation, a recurring client report and a question through Catchr MCP serve different reporting needs. Choose the approach that fits the work in front of you.
Use a report to present a consistent StackAdapt overview, then use Catchr MCP to investigate questions that come up during preparation. Keep the advertiser, reporting period and selected metrics explicit so each answer has a clear scope.
Connect StackAdapt to Catchr using API-key authentication and select the relevant account. Choose ChatGPT or Claude through Catchr MCP as your AI destination, then discover the available columns before asking your first campaign question.
Confirm the reporting date options available for your query. Campaign Created At and Campaign Updated At describe campaign records and should not be treated as performance reporting dates.
Replace the bracketed values with your account, reporting period and review criteria. Each prompt starts with column discovery so you can confirm the fields used before querying your connected StackAdapt data.
Using Catchr, discover the available StackAdapt columns for [account] and ask me to confirm Campaign ID, Campaign Name, Advertiser Name, Cost, Conversion Revenue and ROAS. Confirm the available reporting date filter for [start date] to [end date]. Return campaigns with Cost above [cost threshold] and ROAS below [ROAS threshold], ordered by Cost. Summarize which campaigns warrant review based on those criteria and flag missing values.
Copy promptUsing Catchr, discover the available StackAdapt columns for [account] and ask me to confirm Campaign ID, Campaign Name, Click Conversions, Impression Conversions, Click Conversion Rate and Impression Conversion Rate. Confirm the available reporting date filter for [start date] to [end date] and compare the selected measures for [advertiser]. Keep click and impression results separate, identify the largest differences in conversion counts, and distinguish observations from possible explanations.
Copy promptUsing Catchr, discover the available StackAdapt columns for [account] and ask me to confirm Channel Name, Channel SubType Name, Cost, Impressions, Clicks and CTR. Confirm the available reporting date filter for [start date] to [end date]. For [advertiser], summarize delivery and engagement by the selected channel dimensions. Highlight channels with Cost above [cost threshold] and CTR below [CTR threshold]. Do not sum or take a simple average of row-level CTR values; explain if a valid grouped rate is unavailable.
Copy promptUsing Catchr, discover the available StackAdapt columns for [account] and ask me to confirm Campaign Group Name, Campaign ID, Campaign Name, Campaign State, Campaign Status, Is Archived, Is Draft, Frequency Cap Limit, Frequency Cap Expiry and Budget Rollover. For [advertiser] and [campaign group], list the returned settings and flag campaigns whose Frequency Cap Limit exceeds [frequency cap threshold]. Keep archived and draft campaigns identifiable and prepare a short list of settings to discuss with the client.
Copy promptConnect StackAdapt to Catchr with API-key authentication, select the relevant account and choose ChatGPT or Claude through Catchr MCP. Discover the available columns, then select the advertiser, campaign dimensions and metrics needed for your question.
Yes. Available measures include Click Conversions, Impression Conversions, Click Conversion Rate and Impression Conversion Rate. Select them after column discovery and keep the measures separate in your analysis. These fields alone do not establish why conversion results differ.
Use Advertiser ID and Advertiser Name to identify the advertiser, then Campaign Group Name and Campaign Name to structure the review. Include Campaign ID when names could be ambiguous, and specify the account and advertiser in each reporting question.
Campaign Created At and Campaign Updated At describe when a campaign record was created or updated. Confirm the available performance date filters and time breakdowns during discovery before requesting a period comparison. Do not use those campaign timestamps as substitutes for reporting dates.
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