I Asked Claude to Analyze 30 Days of Paid Media. It Took 10 Seconds.
What if you did not have to open a dashboard, read the charts, and figure out what the numbers mean? What if you could just ask a question and get the answer in plain English?
Ashish Chaturvedi, founder of Atidiv, walks through how connecting Claude to Databox through MCP turns campaign analysis into a 10-second conversation. He asks for the last 30 days of marketing performance and gets a full breakdown in seconds: total spend, total revenue, return per dollar, and which channels are driving or dragging the result. Then a follow-up: break it down by week. Same thread, new view. Then another: draft a client summary. Same thread, ready-to-send email.
The reason it works is the layer in the middle. Databox already understands the KPIs, the dimensions, the date ranges, and the historical context, which gives Claude a much better starting point than raw ad platform data. The result is sharper answers, fewer hallucinations, and analysis that fits inside the conversation instead of inside an afternoon block on the calendar.
If you run paid media or report on it, this is what AI-assisted analytics actually looks like in practice.
📊 Databox is an AI-powered business intelligence and analytics platform for teams that need answers now. Get clear, trusted answers from your data without rebuilding reports or waiting on analysts.
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💡 Atidiv is a marketing execution partner for agencies and in-house teams, running paid, email, and lifecycle campaigns so growing businesses can scale client work without adding headcount. Learn more at www.atidiv.com