How I deduplicate cross-platform ad attribution and surface true ROAS inside VS Code chat
Every performance marketer I've talked to has a version of this story: Meta reports a 4× ROAS. Google reports 3.2×. You scale both budgets. Shopify revenue barely moves.
Attribution overlap is the quiet margin killer in paid media. Every platform counts the same converted customer as their win, and most teams spend hours reconciling dashboards instead of acting on data.
I built Unified Ad Intelligence MCP to solve this at the workflow layer — not by adding another SaaS dashboard, but by bringing the analysis into VS Code chat as a Model Context Protocol server.
OUTLINE:
The Attribution Problem No One Talks About
Why MCP + VS Code Is the Right Interface for This
How Unified Ad Intelligence MCP Works
Key Tools: get_true_roas, detect_campaign_anomalies, get_budget_recommendation
Getting Started With Demo Data First
Real Prompts You Can Use Today
Pricing, Licensing, and What's Next
https://mcp-payment-site.vercel.app/unified-ad-intelligence
https://marketplace.visualstudio.com/items?itemName=AtulHritik.unified-ad-intelligence-mcp-vscode
Top comments (1)
Helpful framing. One layer worth flagging in "ROAS is a lie" discussions: GA4 renamed its Conversions to "Key Events" in March 2024 partly so the GA4-side and Google Ads-side numbers stop sharing the same label. Same purchase fire, two counting models — GA4 counts per session, Ads counts per ad-attributed window. Reconciling those two before declaring ROAS unreliable usually exposes where the actual gap sits.