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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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.
Choose your role, open a workflow, then replace the bracketed variables before pasting the prompt into ChatGPT. Every prompt asks for evidence, limits, and a concrete output.
Using the Catchr MCP, pull Instagram data for [List of Client Profile Names/IDs] over [Recent Period] and compare it with [Baseline Period]. For each profile, report Profile Reach, Views, Profile Account Engaged, Profile Total Interactions, Follower Count, Unfollower Count, Profile view, and Profile Link Taps; use the latest Profile Followers value as a profile snapshot rather than summing it across dates. Apply [Client-Specific Targets], label every client Healthy, Watch, or Critical, rank the profiles the consultant should review first, and provide one evidence-based diagnosis and one concrete content, community, or profile action for each flagged client.
ChatGPT can query connected Instagram data for content, reach, engagement, audience, follower, traffic, and video reporting.
Representative measures include Views, Profile Reach, Profile Total Interactions, Media Engagement Rate, and Website Clicks. Useful breakdowns include Date, Media Type, Media Product type, Media created at, and Country. The exact field set depends on the selected dataset and compatible reporting reporting level.
The available detail depends on the fields returned for the selected dataset. Useful breakdowns include Date, Media Type, Media Product type, Media created at, and Country.
Ask ChatGPT to state the reporting level it used and keep incompatible levels separate before calculating totals, rates, or comparisons.
Yes. ChatGPT can rank posts, videos, or formats by the engagement and reach signals that matter to the channel. Relevant fields include Views, Profile Reach, Profile Total Interactions, Media Engagement Rate, and Website Clicks.
Set the business target, comparison period, and minimum volume before requesting priorities or recommendations.
Yes. ChatGPT can compare audience, timing, format, discovery, or follower trends across a consistent period. Useful breakdowns include Date, Media Type, Media Product type, Media created at, and Country.
Ask it to separate observed data, possible explanations, and the next validation step so an unusual value is not presented as a proven cause.
Strong prompts name the action, account or entity, date range, comparison, and KPI or threshold.
Yes, when the other sources are also connected to Catchr. Useful combinations include advertising, analytics, commerce, or CRM sources.
Align dates, currencies, identifiers, and definitions first. If the sources cannot be joined reliably, ask for a side-by-side comparison rather than a single attributed result.
Yes, provided each one is connected and available through Catchr MCP. Ask for separate results first, then create the combined view.
Specify the account, audience, content format, timezone, period, and objective. This keeps one large entity or a definition mismatch from distorting the comparison.
You need access that can authorize and view the relevant Instagram data, a Catchr workspace with the source connected, and Catchr MCP enabled in ChatGPT.
After selecting the required entities, you can ask questions in natural language without preparing a new CSV export for each analysis.
ChatGPT analyzes the records returned through the connected Catchr source; it should not assume the data is real time. Freshness and historical coverage can vary by dataset, field, selected period, and source API limits.
Ask it to state the latest published-content, audience, or reporting date, together with the timezone, requested period, and any missing intervals before interpreting a trend.
No. Catchr MCP provides Instagram data for analysis; it does not give ChatGPT permission to publish content, reply to users, or change profile and channel settings.
Use the result to prepare an action plan, then make operational changes in Instagram. Review the supporting figures before acting on the recommendation.
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.