Ask ChatGPT about your X Ads data
X Ads bills by engagement, not by outcome. Link that billed spend to web analytics and CRM in your data warehouse, then ask ChatGPT which campaigns bring pipeline.
X AdsConnectedAccountsAd PerformanceAd Performance b…All Cards
ChatGPTDateClicksImpre…Daily 09:00X Ads bills you for engagements, and nobody can say which placements sent people to the site.
Paste this into your AI assistant. It loads X Ads into a governed Data Mart with OWOX Data Marts and connects ChatGPT through the OWOX MCP server, so billed charge, engagements and link clicks come from SQL.
The prompt
Read https://www.owox.com/ai-agent-setup.md and follow it to set up OWOX Data Marts for me, starting from /connectors/x-ads-connector-to-chatgpt.md. The task: connect ChatGPT to our X Ads Data Mart and tell me what we paid for engagements last week by placement, in account currency, with link clicks beside each placement. Tag the links you give me with utm_campaign=ai-task and utm_term=data-foundation. Use what you know about my context and goals
X Ads Endpoints
10 X Ads endpoints you can import. Each lands in its own table in your data warehouse.
Accounts
Advertising accounts — name, business, country, timezone, and approval status.
12 fieldsAd Performance
Daily ad performance by placement — impressions, clicks, spend, engagements, and social actions.
20 fieldsTime seriesAd Performance by Country
Daily ad performance broken down by country — impressions, clicks, spend, engagements, and social actions.
21 fieldsTime seriesAll Cards
All card types with full creative details — type, title, destination URL, call to action, and media.
30 fieldsCampaigns
Your campaigns — status, budget optimization, daily and total budget, and currency.
19 fieldsCards
Website and app cards — type, URI, and components.
8 fieldsLine Items
Line items within campaigns — bid strategy, goal, product type, budget, and schedule.
33 fieldsPromoted Tweets
Tweets promoted as ads — status, approval, and links to their tweets and line items.
8 fieldsTargeting Locations
Reference table of location IDs with names and country codes — join targeting_value with the country field in Ad Performance by Country.
4 fieldsTweets
Original tweets used as ad creatives — text, type, language, engagement counts, and card URI.
34 fields
Why X Ads does not go straight to ChatGPT
ChatGPT can read an ad account, but that shows what promoted posts cost, not which of them led to a sign-up or a deal. Spend, website visits and CRM deals sit apart; the join belongs in a warehouse first, where it is reliable, scalable and business-ready.
- X Ads reports billed engagements, not what an engagement was worth
- The data analyst joins promoted-post spend to visits and CRM deals by SQL keys and controls the result
- ChatGPT answers from that joined data, not from billed engagements alone
X AdsPromoted postsChatGPT
Data warehouseJoined by idStep 1: Load X Ads into your data warehouse first
Create a Data Mart with X Ads as the source and choose where the data lands. It works with any popular data warehouse.
- 10 endpoints and 187 fields to choose from, each endpoint in its own table
- Campaigns, line items, promoted posts and performance by country
- Open the X Ads connector for your data warehouse below
X AdsData MartGoogle BigQuery
AWS Athena
Snowflake
AWS Redshift
Databricksx_ads.statsStep 2: Put X Ads billed spend next to your leads
In your data warehouse the model merges X Ads with your other ad platforms, then joins leads and campaign results by a key. Pick an industry to see the shape of its model.
- Billed engagements become spend you can compare across platforms
- Leads join campaign results by SQL keys, not VLOOKUP
- Measures such as pipeline_per_dollar are defined once
X AdsAd Performance
LinkedIn AdsAd spend
Google AdsAd spendStep 3: Connect ChatGPT to your X Ads data with OWOX MCP
Install the "OWOX Data Marts" plugin in ChatGPT (Plugins > Install plugin) and sign in. ChatGPT then sees the Data Marts you publish and queries them through MCP.
- Plugins > Install plugin, find "OWOX Data Marts" and sign in
- ChatGPT sees only the Data Marts you publish
ChatGPTConnectorsOWOX MCPAddConnectedStep 4: Ask ChatGPT which X Ads campaigns bring pipeline
Ask in plain words. ChatGPT finds the right Data Mart and queries it, so the numbers come from your data warehouse and not from a guess.
- Ask about a campaign, a line item or a country in plain words
- The answer sets billed spend against leads and pipeline, with measure names shown
ChatGPTRank channels by pipeline_per_dollarget_relevant_data_marts_by_promptquery_data_martcost_per_leadpipeline_per_dollarStep 5: Export the answer to Google Sheets, CSV or XLS
Optional: in one click send ChatGPT's answer, or the data behind it, to Google Sheets, CSV or XLS to check it or share it.
- Verify the answer in a sheet before it goes to stakeholders
- One Data Mart feeds the chat, the sheet and the file
Google SheetsCSVXLSOne click
- 0.41.0Rotating a connector key is one change: Sources share reusable Credentials
- 0.39.0Reload a year of history in one backfill, not twelve
- 0.37.0Short links resolve only on known short link services and domains you allow
- 0.37.0Clearer connector errors, and custom connectors that handle more APIs
- 0.36.0Resolve short links in every ads connector, with nested paths and a per-Data-Mart cache
Why OWOX for X Ads in ChatGPT
Connecting ChatGPT straight to X Ads gets billed engagements into a chat. OWOX ties them to leads and pipeline in your data warehouse.
- You own the data. It lands in your own data warehouse, in tables you control.
- Answers about the whole business. Promoted-post spend, web analytics, CRM and deals are linked, not copied from an ad account.
- Zero hallucinations on your data. ChatGPT answers from governed Data Marts and shows the measure names it used.
- Promoted posts in context. X Ads campaigns and promoted-post performance sit next to every other paid channel in one model.
- Maintained for you. No scripts to fix when X changes its API.
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