AI for Marketing Analysts

Prompts for Marketing Analysts: From Data to Clear Decisions

1. The lessons

   1. Explain Core Marketing Metrics: Use AI to understand and calculate common marketing metrics so you can explain them clearly and check your numbers.
   2. Measure Campaign Performance: Use AI to turn campaign data into clear performance summaries, reports, and actionable insights.
   3. Segment Customers and Build Personas: Use AI to define customer segments, write segmentation logic, and create personas from your data.
   4. Design and Analyze Surveys: Use AI to write better survey questions, analyze open-ended answers, and summarize findings.
   5. Monitor Competitors and Markets: Use AI to digest competitor content and market signals so you can spot changes and opportunities.
   6. Forecast Sales and Demand: Use AI to understand forecasting methods, build simple forecasts, and test your assumptions.
   7. Find Growth Opportunities: Use AI to brainstorm and prioritize growth experiments based on your data and market.
   8. Troubleshoot Data and Document Metrics: Use AI to diagnose tracking problems and create clear documentation for your metrics.
   9. Communicate Findings to Stakeholders: Use AI to translate your analysis into clear updates and presentations for non-technical audiences.
2. What the Course Covers

   The course follows the work of a marketing analyst from raw numbers to a clear recommendation. You start with core metrics, then move through campaign performance, segmentation, surveys, competitor monitoring, forecasting, growth opportunities, data troubleshooting, and stakeholder communication.

   Each lesson includes prompts you can copy, change, and reuse. The prompts are written for common tools like ChatGPT, Claude, and Gemini, so you can work in the one your team allows.

3. How the Lessons Connect

   The lessons build on each other. Metrics give you a shared language. Campaign performance shows how to use that language on real results. Segmentation and surveys help you understand the people behind the numbers.

   Later lessons help you look ahead with forecasts, find growth opportunities, fix tracking problems, and explain your findings. You can also jump to the lesson you need most today.

4. How to Use the Prompts Well

   Good prompts include context, the question you are trying to answer, and the format you want. For example, tell the AI which metric you are reviewing, what time period matters, and whether you need a summary, a table, or a list of questions.

   Always check the output against your source data. Ask the AI to show its steps, name assumptions, and point out what it cannot know. Your review is what makes the result trustworthy.

5. Who This Course Is For

   This course is for marketing analysts, junior analysts, and anyone who measures campaigns and customer behavior. It is also useful for marketers who want to work more confidently with data.

   You do not need technical training. If you can use a spreadsheet and write a clear email, you can use these lessons.

6. Safety and Privacy at Work

   Marketing data often includes customer details, sales numbers, and plans that are not public. Before you paste anything into an AI tool, check your company rules and remove names, emails, account numbers, and anything else private.

   Use approved tools, keep a record of what you shared, and treat AI output as a draft. The course shows simple habits that protect you and your company.

7. Your Next Step

   Start with the first lesson on core metrics. Pick one real report or campaign you are working on and try one prompt. Then move to the next lesson when you are ready.

   As you finish, add the video course certificates to your profile. They show that you can use AI in a careful, practical way for marketing analysis.