Prepare your next client call with answers from your connected Xandr data. Catchr MCP lets freelancers and agencies ask ChatGPT or Claude about campaign costs, conversion rates and geographic performance.
Connect Xandr, select the relevant accounts and discover the available reporting columns. Then ask a focused question using the fields that matter to your client.
“Compare paid media performance across my client accounts and flag the biggest changes.”
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Start by discovering the columns available for your connected Xandr account and selecting those needed for your question. Use supported combinations of campaign, conversion and country fields to build a review your client can follow.
Use Campaign Id and Campaign Name to identify activity, then select available metrics such as Media Cost, Cpc, Cpm and Ctr. Compare campaigns to find where higher costs coincide with weaker click-through rates.
Include Advertiser Id and Advertiser Currency when reviewing client accounts. Keep currency context visible, and distinguish Media Cost from metrics defined as effective advertiser spend.
Review Total Convs alongside Post Click Convs to understand the conversion results reported by Xandr. Total Convs includes both post-view and post-click conversions.
Choose rate metrics carefully: Conv Rate measures post-click and post-view conversions against impressions, while Click Convs Rate measures conversions against clicks. Add Total Revenue or Post Click Revenue when available to give the client the corresponding revenue view.
Use Geo Country for the country or region code and Geo Country Name for its readable label. Compare available cost and conversion metrics across countries to identify results worth discussing with your client.
For augmented line items, discover whether Split Id and Split Name are available for a separate split-level analysis. Reports containing campaigns return null split values, so keep that limitation in mind when choosing your breakdown.
A focused campaign investigation, a recurring client report and a follow-up question need different approaches. Catchr supports reporting destinations and questions through MCP, so you can choose the workflow that fits the task.
Use a focused analysis to investigate Xandr performance, a report to present a consistent client view, and Catchr MCP to answer specific follow-up questions. Keep the selected accounts, currencies and metric definitions clear across all three approaches.
Connect Xandr to Catchr using API-key authentication and select the accounts you want to analyze. Choose ChatGPT or Claude through Catchr MCP, discover the available Xandr columns and select the fields for your first question.
Before requesting a period comparison, confirm the available date fields and supported reporting range. Start with a campaign cost review or a country breakdown using the columns returned for your account.
Replace the bracketed values with your client account, reporting dates and review thresholds. Each prompt starts with field discovery so the analysis uses available Xandr columns and checks the requested reporting period.
Using Catchr, discover the available Xandr columns for [account] and confirm support for [start date] to [end date]. Ask me to confirm the available selection from Campaign Id, Campaign Name, Advertiser Currency, Media Cost, Cpc and Ctr. Then list campaigns with Media Cost above [cost threshold] and Ctr below [CTR threshold]. Sort by Media Cost within each currency and summarize which campaigns deserve a closer review.
Copy promptUsing Catchr, discover the available Xandr columns for [account] and verify the reporting period [start date] to [end date]. Let me confirm a supported selection from Campaign Id, Campaign Name, Total Convs, Post Click Convs, Conv Rate and Click Convs Rate. Compare campaign rankings by total and post-click conversions, explain the different rate denominators, and identify questions to raise in the client review without inferring causation.
Copy promptUsing Catchr, discover the available Xandr columns for [account] and check support for [start date] to [end date]. Ask me to confirm a compatible selection from Geo Country, Geo Country Name, Advertiser Currency, Media Cost, Total Convs and Total Revenue. Show countries with Media Cost above [cost threshold] and Total Convs below [conversion threshold]. Keep country codes and names in separate columns and monetary results separated by currency.
Copy promptUsing Catchr, discover whether split-level reporting is available for Xandr [account] during [start date] to [end date]. Ask me to confirm supported columns from Split Id, Split Name, Advertiser Currency, Media Cost, Total Convs and Ecpa. Build a split comparison without campaign dimensions, since reports containing campaigns return null split values. Highlight splits with Ecpa above [CPA threshold], keep currencies separate, and explain any unavailable fields or missing split values before drawing conclusions.
Copy promptConnect Xandr in Catchr using API-key authentication, select the relevant accounts and choose ChatGPT or Claude through Catchr MCP. Discover the available Xandr columns before choosing the metrics, breakdowns and dates for your question.
Conv Rate measures post-click and post-view conversions against impressions. Click Convs Rate measures conversions against clicks; Click Conv Rate is an identical field. Post Click Convs Rate and Post View Convs Rate measure their respective conversion types against impressions. Keep these definitions visible when comparing results.
Split Id and Split Name apply only to augmented line items. In reports containing campaigns, these split fields return null. Discover the available reporting columns and use a supported split-level selection without campaign dimensions to investigate splits.
The listed Creative Frequency Bucket and Creative Recency Bucket fields, including their ID fields, are deprecated and return only a default value. They cannot support a meaningful frequency or recency breakdown. Discover the available columns and choose another supported breakdown for your Catchr MCP query.
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