Prepare your next client call with answers from your connected Criteo data. Catchr MCP lets freelancers and agencies ask ChatGPT about campaign spend, cost per order, conversion rates, and the creatives behind their ads.
Connect Criteo, select the relevant client accounts, and connect your AI destination. Start with a performance question, then investigate the campaigns and ads that need attention.
“Compare paid media performance across my client accounts and flag the biggest changes.”
Criteo
Google Ads
GA4
Used by the world's leading companies
Build your analysis around Criteo advertisers, campaigns, ad sets, and ads. Review delivery metrics, keep attribution windows explicit, and add creative details to make client reporting more useful.
Review spend, impressions, reach, clicks, CTR, CPC, and CPM alongside campaign names and IDs. Compare campaigns within a selected advertiser account to identify where delivery and traffic efficiency differ.
Use daily reporting for period comparisons or select an hourly breakdown when the question requires it. Keep the date range and reporting level consistent across the comparison.
Criteo includes cost per order and conversion rate fields for client attribution and several named windows, including PC 1d, PC 7d, PC 30d, and PC 30d PV 24h.
Compare the same metric across windows to see how the reported result changes. Keep each window labeled, and treat the separate All variants as distinct fields rather than mixing them into one performance measure.
Connect ad-level results to the associated creative to review adaptive headlines, description text, landing page URLs, calls to action, and image sets. Ad start and end dates also help explain which ads belong in a review.
Creative analysis uses the relationship between an ad and its creative; Criteo statistics do not provide a direct creative ID breakdown. Ad and creative listings cover self-service resources created through the Criteo API or Commerce Growth, so they may not represent a client's complete managed-service inventory.
A focused campaign review, a recurring client report, and a follow-up question each call for a different workflow. Use the same connected Criteo data through Catchr in the destination that suits the task.
Use a report for a consistent view of Criteo performance, then use Catchr MCP to investigate questions raised during the review. Keep the account, dates, and attribution window explicit so the answers can be compared with the report.
Connect Criteo to Catchr using OAuth and select the advertiser accounts you want to analyze. Authorize reporting access; retrieving ads and creatives also requires the MarketingSolutions_Creative_Read permission.
Then connect ChatGPT or Claude through Catchr MCP. Begin with a selected account, a date range, and a campaign performance question.
Replace the bracketed values with your client account, reporting dates, and review thresholds. Each prompt defines a focused analysis you can request through Catchr MCP.
Using Catchr, review Criteo campaigns for [advertiser account] from [start date] to [end date]. Show campaign ID, campaign name, spend, impressions, clicks, CTR, and CPC. Flag campaigns with spend above [spend threshold] and CPC above [CPC threshold], rank them by spend, and summarize which campaigns deserve a closer review.
Copy promptUsing Catchr, compare Cost Per Order PC 1d, Cost Per Order PC 7d, and Cost Per Order PC 30d by campaign for [advertiser account] from [start date] to [end date]. Show each window separately, calculate the difference between PC 1d and PC 30d where both values are available, and flag differences above [percentage threshold]. Explain how campaign rankings change without treating the windows as interchangeable.
Copy promptUsing Catchr, review Criteo ads for [advertiser account] from [start date] to [end date] with spend above [spend threshold]. Show ad ID, ad name, spend, clicks, and CTR. Match ads to their associated creatives where available and include adaptive headline text, description text, and landing page URL. Rank ads by CTR, identify messaging differences worth investigating, and list unmatched ads separately. Do not infer that creative messaging caused the performance differences.
Copy promptUsing Catchr, inspect available Criteo ads for [advertiser account]. List ads whose start date falls between [review start date] and [review end date], and separately list ads whose end date falls in that period. Include ad ID, ad name, start date, and end date. Mark a null end date as continuing indefinitely, and note that the listing does not cover complete managed-service inventory.
Copy promptConnect Criteo to Catchr using OAuth, authorize reporting access, and select the relevant advertiser accounts. Then connect ChatGPT through Catchr MCP. Include MarketingSolutions_Creative_Read permission if you want to retrieve ads and creatives alongside reporting data.
You can compare cost per order and conversion rate fields for client attribution and named windows such as PC 1d, PC 7d, PC 30d, and PC 30d PV 24h. Specify the exact fields in your question and keep their labels separate, including any All variants.
Creative analysis requires matching ad-level statistics to each ad's associated creative. Available details include adaptive headlines, descriptions, landing page URLs, and image sets. Repeated properties such as calls to action and image sets are returned as JSON text. Ad and creative listings do not include complete managed-service inventory.
Criteo's synchronous statistics endpoint returns at most 100,000 rows. Detailed ad-level requests can reach that limit, so keep the account scope, date range, and breakdowns focused. Request hourly data only when needed; daily reporting uses Criteo's daily aggregation.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
