A star score without a count hides how much experience supports it. Invented ratings create false reassurance.
Product ratings: counts and data sources
When genuine ratings exist, show both average and count. No reviews means unknown experience, not a zero-star score.
Research context: Baymard · Show the number of product ratings ↗
Use this when the merchant has a genuine review source. A new store can instead provide product facts, contact details and understandable policies.
Try the pattern
Task and expected result
- 01
Choose No reviews: show an explanation, no stars and no claimed popularity.
- 02
Choose Fictional scores: show 4.2 of 5 with 12 reviews together, clearly labeled fictional.
- 03
Reset the lab: no reviews must be the default.
- 04
Check that the page publishes no AggregateRating or Review schema for fixture scores.
How to investigate value
Ask shoppers to explain their variant choice and fit. Later measure confirmed purchases per eligible product visitor, with return reasons as follow-up.
Watch for side effects
Wrong sizes, unknown details shown as facts, mismatched expectations and product-related support/returns.
This is a proposed investigation, not a measured result. Choose one hypothesis and define the audience before testing.
Build a measurement plan for this concept ↗