Worksheet · B2C: Consumer Pricing Health Check
Run one clean price test this quarter
Looking at what happened after a change mixes in season, weather and marketing. A test with a control tells you what the price did. This sheet turns the next pricing debate into one test, and rolls out only what the test proves. It builds the Competent step of the check:
Meaningful changes are piloted (stores, regions, cohorts) before rollout when feasible.
Step 1. Sort the ideas
| Idea | Risk | Size of prize | Difficulty | Do, test or explore |
|---|---|---|---|---|
| e.g. Raise prices on the ten least price-sensitive products | Medium | High | Low | Test |
- Do: low risk, clear case. Roll it out and watch it.
- Test: real prize, real doubt. Pilot it.
- Explore: not ready. Gather data first.
Step 2. Write the hypothesis
Most price tests check one of two things. Discipline: are we giving away more than we need to? Sensitivity: does this group react less than we assume?
| Hypothesis | Why we think so | Result that would prove it wrong |
|---|---|---|
| e.g. Customers booking more than 60 days ahead react less to price | Fewer alternatives compared at that stage | Conversion drops more than 3 points at +5% |
Step 3. Design the test
| Item | Plan |
|---|---|
| Test group (stores, regions, customer cohort) | |
| Matched control group, and how it was matched | |
| Price change | |
| Weeks (at least one full sales cycle) | |
| Measure (units, margin dollars, conversion) | |
| When we stop early | |
| Owner |
Step 4. Result and decision
| Test | Test group result | Control result | Difference | Roll out, change or drop | Decided by |
|---|---|---|---|---|---|
Done when: the next meaningful price change is piloted against a control group before it is rolled out, and the result is written down.
Adapted from our own price test approach (PJP, 2020).
From the B2C: Consumer Pricing Health Check. Your report links the sheet for each of its moves.