Prepare your next client call with answers from connected X / Twitter Ads data. Use Catchr MCP in ChatGPT or Claude to explore purchase conversions, compare mobile purchase outcomes and review ad group settings.
For freelancers and agencies, it brings focused questions into the same workflow as client analysis: choose the account, set the reporting period and ask what you need to understand.
“Compare paid media performance across my client accounts and flag the biggest changes.”
X / Twitter Ads
Google Ads
GA4
Used by the world's leading companies
Build your X / Twitter Ads analysis around purchase metrics, mobile conversion breakdowns and ad group details. Choose the fields and reporting level that fit the client question, and keep different conversion measures clearly labeled.
Review purchase conversions alongside order quantity and sale amount. Post-engagement, post-view and assisted purchase measures let you ask more precise questions about the results in a client report.
Compare engagement-related and view-related sale amounts separately. Keep those measures distinct so your summary explains which purchase outcome each number represents.
Explore mobile purchase totals, order quantities and sale amounts, with separate post-view, post-engagement and assisted measures. Use these fields to prepare a focused review of mobile purchase activity.
SKAN total, post-view and post-engagement purchase fields are also available. Present them separately from the other mobile purchase measures rather than assuming they can be added together.
Review ad groups by ID, goal, entity status, bid strategy, currency and daily budget amount. Add creative source, product type and advertiser domain when you need more context for a client discussion.
Creation, update and end dates help you inspect the setup. Android and iOS app store identifiers can support an app-focused review. Treat daily budget and bid amount as settings, rather than actual spend.
A focused purchase analysis, a recurring client report and a follow-up question each call for a different approach. Catchr connects X / Twitter Ads data to reporting destinations and to ChatGPT or Claude through MCP.
Use a report to keep recurring X / Twitter Ads reviews consistent. Use Catchr MCP for questions that arise while preparing the meeting, such as how mobile purchase totals changed or which ad groups need a closer settings review.
Connect X / Twitter Ads to Catchr through OAuth 2 and select the relevant client accounts. Then connect ChatGPT or Claude through Catchr MCP and start with a question about purchase results or ad group settings.
Include the account, reporting dates and measures you want. For purchase analysis, specify whether you need standard purchase fields, mobile purchase fields or SKAN measures.
Use these prompts for a purchase review, a mobile results comparison or an ad group settings check. Replace the bracketed values with the client account, periods and thresholds you want to investigate.
Using Catchr, compare Conversion Purchases Post Engagement, Conversion Purchases Post View, Conversion Purchases Order Quantity and Conversion Purchases Sale Amount for [account] between [first date range] and [second date range]. Show each measure separately with its absolute and percentage change. Mark percentage change as unavailable when the earlier value is zero, and summarize the changes for a client call without inferring their cause.
Copy promptUsing Catchr, show Mobile Conversion Purchases Total, Order Quantity and Sale Amount for [account] during [date range]. Add separate columns for Post Engagement, Post View and Assisted. Present SKAN Total, SKAN Post Engagement and SKAN Post View in a separate table. What does each table show about the period's mobile purchase results? Do not add the attribution measures or SKAN figures into a combined total.
Copy promptUsing Catchr, list ad groups in [account] whose Ad Group Daily Budget Amount exceeds [threshold in the field's returned units] and whose Ad Group Currency is [currency]. Show Ad Group ID, Entity Status, Goal, Bid Strategy, Daily Budget Amount and End Time. Sort by daily budget amount from highest to lowest, retain the returned units and summarize the settings for review without treating budget as actual spend.
Copy promptUsing Catchr, find ad groups in [account] with Ad Group Updated At between [start date] and [end date] and a populated Android or iOS App Store Identifier. Show Ad Group ID, Updated At, Android App Store Identifier, Ios App Store Identifier, Creative Source, Product Type and Entity Status. Group the results by app store identifier for a client setup review. Do not infer which settings changed from the update date alone.
Copy promptAuthorize X / Twitter Ads in Catchr through OAuth 2 and select the relevant accounts. Connect ChatGPT or Claude through Catchr MCP, then ask a question that names the account, reporting period and purchase metrics or ad group details you need.
You can query purchase conversion measures, order quantities and sale amounts, including post-engagement, post-view and assisted measures. Mobile purchase fields also include separate SKAN measures. Keep these fields labeled separately rather than assuming they are additive.
Ad Group Daily Budget Amount and Ad Group Bid Amount describe settings. They do not establish actual spend. Use them with currency, goal, status and bid strategy for setup reviews; they are not sufficient to calculate purchase efficiency or ROAS.
No. Account Updated At and Ad Group Updated At describe updates to those entities. Use a reporting period for purchase analysis. An update date can help identify ad groups to inspect, but it does not identify the setting that changed or explain a change in purchase results.
Connect your sources to Catchr, add the MCP server to your AI assistant, and ask about the work that matters now.
