Data Analysis prompts for E-commerce & Retail
SQL, spreadsheets, KPIs, forecasts and experiments.
- 332 prompts available
- 16 industries covered
- Forecast demand for inventory planningForecast product demand so we can order the right stock and avoid both stock-outs and overstock. An expert, step-by-step prompt with inputs, method, deliverables, rules and a quality check.
- Analyse a shopping cart abandonment funnelFind where shoppers drop out between product page and payment and how to recover them. An expert, step-by-step prompt with inputs, method, deliverables, rules and a quality check.
- Analyse customer lifetime value and segmentsCalculate customer lifetime value, find valuable customer segments and recommend how to grow them. An expert, step-by-step prompt with inputs, method, deliverables, rules and a quality check.
- Turn analysis into an executive summary for E-commerce & RetailUse this when your analysis is good but leaders do not read long reports. Written for an online store selling physical products.
- Clean messy data in a spreadsheet for E-commerce & RetailUse this when your data has typos, duplicates and mixed formats. Written for an online store selling physical products.
- Forecast next period's numbers for E-commerce & RetailUse this for budgets, stock planning or staffing. Written for an online store selling physical products.
- Design and analyse an A/B test for E-commerce & RetailUse this before and after running an experiment on a website, app or campaign. Written for an online store selling physical products.
- Write SQL to answer a business question for E-commerce & RetailUse this when you need data from a database but writing the query is slow or tricky. Written for an online store selling physical products.
- Build a KPI dashboard design for E-commerce & RetailUse this before building a dashboard, so it is actually used. Written for an online store selling physical products.
- Analyse a dataset and find key insights for E-commerce & RetailUse this when you have data but no clear picture of what it says. Written for an online store selling physical products.
- Survey results analysis for E-commerce & RetailUse this to turn survey results into clear conclusions. Written for an online store selling physical products.
- Executive data summary for E-commerce & RetailUse this to brief leaders who will not read a full report. Written for an online store selling physical products.
- Cohort retention analysis for E-commerce & RetailUse this to see whether customers keep coming back over time. Written for an online store selling physical products.
- Python analysis script for E-commerce & RetailUse this to automate a repeating analysis in Python. Written for an online store selling physical products.
- A/B test analysis for E-commerce & RetailUse this to decide whether an A/B test really worked. Written for an online store selling physical products.
- Data cleaning plan for E-commerce & RetailUse this to clean messy data before analysis. Written for an online store selling physical products.
- Forecasting plan for E-commerce & RetailUse this for budgets, stock or staffing forecasts. Written for an online store selling physical products.
- Spreadsheet formulas for E-commerce & RetailUse this when you need spreadsheet formulas but are not sure how to write them. Written for an online store selling physical products.
- Explain a statistical result for E-commerce & RetailUse this to explain numbers to people who are not analysts. Written for an online store selling physical products.
- KPI dashboard design for E-commerce & RetailUse this before building a dashboard so it drives decisions. Written for an online store selling physical products.
- SQL for a business question for E-commerce & RetailUse this when you need data from a database and want a correct query. Written for an online store selling physical products.
- Find insights in a dataset for E-commerce & RetailUse this when you have data but no clear picture of what it says. Written for an online store selling physical products.
FAQ
Data Analysis prompts: common questions
What are Data Analysis prompts?
Data Analysis prompts are ready-made instructions you paste into an AI assistant for data analysis work: sQL, spreadsheets, KPIs, forecasts and experiments. Each one names the role, the context and the exact output to hand back, so the first answer is usable.
How many Data Analysis prompts are there?
First AI Prompt has 332 free data analysis prompts: 47 tasks, each written for up to 16 industries. Open an industry from the Industries menu to see only the versions for where you work.
Which AI assistant should I use for data analysis prompts?
Data Analysis prompts are plain text, so they work in ChatGPT, Claude, Gemini, Microsoft Copilot and other assistants. Each prompt page lists the assistants it suits best.
Are the data analysis prompts free?
Yes. Every data analysis prompt on First AI Prompt is free to copy and use in your own work, with no sign-up and no limit.