Marketing Data Analysis in Plain English
Marketers need to know what is working this week, not next sprint. Agentsql turns campaign and channel questions into charts and answers in plain English.
Ask your data a question:
Writing SQL… Running (read‑only)… SQL Agentsql wrote
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Click a question. Agentsql writes the SQL, runs it read-only, and answers.
Direct answer
AI marketing data analysis lets marketers answer campaign and channel questions in plain English without SQL or a data analyst. Agentsql connects read-only to your database, turns "which channels drove the most paid signups this quarter" into a query, runs it, and returns a chart and answer in seconds. It shows the SQL it generated, so the marketing number you report is one you can defend.
The problem
Marketing data is scattered across tables no marketer can query, so spend decisions wait on an analyst and campaigns keep running long after the numbers said to stop.
How Agentsql handles it
Agentsql turns marketing questions into SQL and answers. Ask about CAC by channel, conversion by campaign, cohort behavior, or attribution, and it writes the query, runs it read-only, and returns charts and a written answer you can refine in plain English. Marketers act on real data the same day instead of waiting for a pull, and the visible query keeps finance and data teams aligned on the numbers.
›_ what it uses
The features behind marketing.
›_ frequently asked
Common questions
- How is AI used in marketing data analysis?
- AI turns plain-English marketing questions into SQL and runs them against your own data. In Agentsql you ask "which channels drove the most paid signups this quarter" and get a chart and answer in seconds. It shows the SQL it wrote, so the CAC or conversion figure you report to finance is one you can defend.
- Can marketers analyze data without SQL?
- Yes. Marketers ask questions in plain English and Agentsql writes and runs the query for them. There is no BI tool to learn and no analyst queue to wait in. Ask about campaigns, channels, or conversion and refine the answer in plain English, with the query shown so data and finance stay aligned.
- How do I measure CAC by channel?
- Customer acquisition cost by channel is spend divided by new customers from that channel over a period. With Agentsql you ask "what was CAC by channel last quarter" in plain English, and it writes the SQL against your marketing and revenue data, runs it read-only, and returns the breakdown as a chart and table.
- What marketing questions can an AI data analyst answer?
- Anything your data holds: CAC by channel, conversion by campaign, cohort behavior, attribution, paid signups, and channel ROI. You ask in plain English and refine on the spot. The recurring "what is working this week" questions that usually wait on an analyst are exactly the ones it answers fastest.
›_ more use cases