Star ratings explained: why 4.7 can beat a perfect 5.0

What buyers actually infer from star ratings and review counts, and how businesses should think about their score.

A star rating looks like a simple number, but buyers read it alongside how many reviews there are, how recent they are and how the ratings are spread. Understanding that context helps buyers decide better and helps businesses focus on what moves trust.

Perfect scores can backfire

Research from Northwestern University's Spiegel Research Center found that purchase likelihood tends to peak for average ratings between roughly 4.0 and 4.7 and then declines as ratings approach a perfect 5.0. A flawless score can read as "too good to be true", especially with few reviews.

Count and recency

A 4.6 from 800 reviews is stronger evidence than a 5.0 from six. Recency matters too: buyers want to know the business is still good now. A steady stream of new reviews signals an active, consistent operation.

Distribution tells the real story

Look at the breakdown bar. Healthy profiles usually have most reviews at five and four stars with a tail of lower ratings. Watch for:

• Bimodal ratings — lots of fives and ones, few in between — which can indicate polarising service or manipulation.
• Recent decline — the last 90 days averaging much lower than all-time.

What businesses should do

• Focus on review volume and recency, not chasing 5.0.
• Respond to criticism well; it raises trust more than a perfect score.
• Fix recurring issues named in reviews, then say so in replies.

See how many reviews it takes to move your average with the rating goal calculator.