Prepare your next client review with answers from your connected Outbrain DSP account. Use Catchr MCP with ChatGPT or Claude to examine spend, compare click costs and review ad group targeting settings.
For freelancers and agencies, it brings Outbrain DSP questions into the same AI tools you use to prepare analysis and client explanations.
“Compare paid media performance across my client accounts and flag the biggest changes.”
Outbrain DSP
Google Ads
GA4
Used by the world's leading companies
Build your analysis around account, campaign, ad group or ad performance. Start with spend and clicks, then examine impression measurement and the settings that provide context for delivery.
Use Media Spend, Data Cost and Total Spend to describe advertising costs. Compare Clicks, CTR, Avg. CPC and Avg. CPM to identify ad groups that deserve a closer review.
For a client report, show spend alongside click efficiency so a larger budget is not mistaken for better performance.
Examine Impressions, Measurable Impressions, Not-Measurable Impressions and Not-Viewable Impressions. Review the viewable, not-viewable and not-measurable impression distribution metrics to understand the delivery mix.
Include Avg. VCPM when reviewing viewable impression costs. Keep measurement gaps separate from non-viewable impressions when explaining the results to clients.
Review ad group names and IDs alongside delivery status, start and end dates, daily budget, bid and bidding type. These settings help focus an investigation into differences between ad groups.
Check included and excluded countries and regions, targeted devices, frequency capping, and Monday or Friday dayparting hours with their timezone. Treat targeting settings as configuration context, not evidence of where impressions were actually delivered.
A focused Outbrain DSP investigation, a client report and a question through Catchr MCP serve different needs. Choose the method that fits whether you need to investigate a metric, present a consistent view or answer a follow-up question.
Use a report to keep client discussions consistent, then use Catchr MCP to investigate questions about Outbrain DSP spend, impression quality or ad group settings. Keep the account, date range and reporting level explicit when comparing results.
Connect Outbrain DSP to Catchr using API-key authentication and select the relevant client accounts. Then connect your AI destination through Catchr MCP to ask questions in ChatGPT or Claude.
Start with a defined account and date range, and name the metrics you want to review, such as Total Spend, Clicks and Avg. CPC.
Replace the bracketed values with your client account, reporting dates and review thresholds. Each prompt defines a focused task, from identifying costly clicks to checking the targeting settings behind a delivery discussion.
Using Catchr, review Outbrain DSP account [account] from [start date] to [end date]. Show Ad Group Id, Ad Group Name, Total Spend, Clicks, CTR and Avg. CPC. Return ad groups with Total Spend above [spend threshold] and Avg. CPC above [CPC threshold], sorted by Total Spend. Summarize which ad groups warrant a client discussion and flag missing values.
Copy promptUsing Catchr, examine Outbrain DSP account [account] from [start date] to [end date] by ad group. Show Impressions, Measurable Impressions, Not-Measurable Impressions and Not-Viewable Impressions. Calculate Not-Measurable Impressions as a share of Impressions where Impressions is greater than zero. Flag shares above [percentage threshold] and explain the distinction between non-measurable and non-viewable impressions without inferring a cause.
Copy promptUsing Catchr, list ad groups in Outbrain DSP account [account] with their names, IDs, archived status, delivery status, start and end dates, daily budget, bid and bidding type. Include targeted devices, included and excluded countries and regions, frequency capping, Monday and Friday dayparting hours, and dayparting timezone. Flag missing settings and daily budgets above [budget threshold]. Prepare a review checklist without treating targeting settings as observed delivery results.
Copy promptUsing Catchr, compare Outbrain DSP account [account] for [current start date] to [current end date] against [previous start date] to [previous end date]. Show account-level Media Spend, Data Cost, Total Spend, Clicks, Impressions, CTR, Avg. CPC and Avg. CPM for both periods. Calculate absolute and percentage changes, marking percentage changes unavailable when the previous value is zero or missing. Draft a client summary that separates measured changes from questions requiring further investigation.
Copy promptConnect Outbrain DSP in Catchr using API-key authentication, select the relevant accounts, then connect ChatGPT or Claude through Catchr MCP. Specify the account and reporting dates in your first question.
Outbrain DSP supports account, campaign, ad group and ad performance data. Choose the level that matches your question: account totals for a client overview or ad group results for a focused cost review. Ad group names and IDs help identify the groups under discussion.
Avg. CPM measures average cost per thousand impressions. Avg. VCPM measures average cost per thousand viewable impressions. Use them to answer different cost questions, and review measurable and non-measurable impression counts alongside your viewability analysis.
Included and excluded countries and regions, targeted devices and dayparting fields describe ad group settings. They do not establish actual delivery by location, device or hour. Use them as context for performance reviews, and check available delivery breakdown fields before requesting a delivery split.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
