Spend less time pulling numbers and more time explaining what they mean.
Get the Marketing Analyst briefIn 2026, AI is taking over much of the manual work in marketing analysis, including pulling data from multiple platforms, cleaning messy datasets, and drafting first-pass campaign reports. Analysts now use AI to summarize performance trends, segment audiences, and test attribution scenarios in minutes instead of hours. The role is shifting toward interpreting results and advising on strategy rather than building spreadsheets.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Here is performance data for [campaign name] across [channels]: [paste data]. Summarize the top three findings, flag any underperforming channels, and suggest two areas to investigate further.Our [metric, e.g. conversion rate] changed from [old value] to [new value] between [date range]. List the most likely causes given that we also changed [variables], and rank them by probability.I want to test [hypothesis] on [page or email]. Write a test plan including the metric to track, sample size considerations, test duration, and what result would be statistically meaningful for a baseline of [current rate].Turn these results into a one-page summary for [audience, e.g. marketing director]: [paste data and notes]. Use plain language, lead with the key takeaway, and include three recommended actions.Here is our customer data with fields [list fields]: [paste sample]. Suggest three meaningful audience segments based on behavior, describe each, and recommend a messaging angle for each segment.The full library of tools, prompts, and tricks for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
One AI tool, one prompt, and one trick for Marketing Analysts, every weekday morning. Free.