Prepare data before every question.
- Export files from the marketing platform
- Reformat and reconcile columns
- Rebuild the analysis for each follow-up
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Meta Ads
3 advertising accounts
Connected
Google Ads
2 advertising accounts
Connected
Google Analytics 4
1 web property
Connected
HubSpot
1 CRM portal
Connected
Configure the Catchr remote MCP connection in ChatGPT using the connector details from Catchr.
Replace account, period, KPI target, and threshold variables before you ask ChatGPT.
“Why did CPA rise?” sounds simple. The answer is usually buried across exports, formulas, filters, and tabs before the analysis can even start.
Choose the right account, date range, breakdowns, and fields. Then wait for the file and do it again when the question changes.
Rename columns, fix formats, join tabs, and check formulas before you can trust the comparison.
Turn the numbers into a client-ready answer, then repeat the whole process for the inevitable follow-up.
Catchr MCP gives ChatGPT access to the marketing accounts you select, so each follow-up starts with the same marketing context instead of a new manual export.
ChatGPT can analyze connected Adalyser campaign and spot-analysis data using 43 metrics and 34 dimensions. Representative fields include Sales Value, Lead Sale Conversion Rate, Cost per Lead, Channel, Product, Platform, Market, and Week Start.
ChatGPT can organize Adalyser results by dimensions such as client, product, ad group, channel, platform, market, campaign type, break position, and broadcast week. Choose breakdowns that match the question before comparing values or calculating totals.
Yes. ChatGPT can compare Cost per Lead, Lead Sale Conversion Rate, Sales Value, and Average Sales Value across available products, ad groups, channels, platforms, or markets. Include your target, reporting period, and minimum volume to make the findings more useful.
Yes. Available Adalyser metrics can separate desktop and mobile Cost per Lead, desktop-attributed sales, and sales credited to direct, organic search, or paid search responses. Ask ChatGPT to report each category separately before drawing conclusions.
Use prompts that specify the client or campaign entity, date range, comparison, breakdown, and KPI. For example, ask ChatGPT to compare weekly Sales Value by channel, flag products with high Cost per Lead, or contrast new-user and returning-user sales value.
Yes, when the other sources are also connected to Catchr. Align dates, currencies, client identifiers, and metric definitions first; when a reliable join is unavailable, request a side-by-side comparison instead of a combined attribution result.
ChatGPT can compare the Adalyser clients or campaign entities that are connected and available through Catchr. Use Client ID, Client Name, Link Key, Product, and other returned dimensions to keep results separated, and confirm entity availability before requesting a combined view.
You need an Adalyser username and password with access to the relevant data, a Catchr workspace with Adalyser connected, and Catchr MCP enabled in ChatGPT. The available accounts, campaigns, and reports depend on what the connection can access and select.
ChatGPT analyzes the Adalyser records returned through Catchr and should not assume they are real time. Freshness and historical coverage can vary, so ask for the latest Week Start value, the requested period, and any missing intervals before interpreting a trend.
No. Catchr provides Adalyser data to ChatGPT for analysis and reporting, not for changing campaigns, placements, or other source settings. Use the findings to prepare an action plan, then review the supporting data before making changes in Adalyser.
Our team is always here to answer any questions you may have about our data connector.
Connect yout marketing platform to ChatGPT with Catchr MCP and start investigating current campaign performance.