Spot mix effects in averages
Prompt that checks whether an average changed because of real changes or only a shift between groups. Paste it into an AI tool of your choice, which then checks the average for mix effects.
- Topic
- Spreadsheets & data
- Type
- Prompt
- Level
- Advanced
- Time
- about 15 min
Results depend on the tool, the model and what you enter.
Result preview
Example: written by our editors, not real AI output.
Average order value: €62 → €57 | Group | Share before → after | Value before → after | | Existing customers | 70% → 50% | €70 → €72 | | New customers | 30% → 50% | €43 → €45 | Result: both groups up, total down because new customers grew. Not a price problem.
Fill in
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- average order value
- conversion rate
- average handling time
- average price per unit
- average rating
- new and existing customers
- sales channels
- regions
- product categories
- devices
- a table by group and period
- only the totals
- an export from the shop
- a report as PDF
- figures from two sources
Your prompt
You have edited the prompt. Changes in the fields above no longer overwrite it.
This is an instruction for an AI, not the result itself.
Where this prompt works
These AI tools are a good fit for this prompt:
How to use it
- Fill in the fields or tap a suggestion. Leave out names, addresses and other personal data.
- Copy the finished prompt into an AI tool of your choice.
- Add up share times group value for each period. The result must match the reported average; if not, a group is missing.
Why does this work?
An average can fall although every group got better, simply because a weaker group grew. Without the split by group, teams fix the wrong thing.
Tips
- Use group totals or anonymised rows only, never personal data.