Two straight paths
Assuming you only work one lever at a time.
Add only
–
new top-rated reviews needed, with nothing removed
Remove only
–
low-rated reviews taken down, with none added
Trade ratio
–
1 removal does the work of this many additions
Heads up: a perfect score is fragile. One new review under top marks, posted any time after you hit this, drops the average back below target immediately.
Find your blend
Drag to see how many additions you'd still need for a given number of removals.
Remove (debit)
Low-star reviews taken down0
Subtotal0
Add (credit)
Top-star reviews still needed–
Subtotal–
CurrentTarget
This blend lands you at – across – reviews.
Estimated revenue impact
Modeled from published research on star ratings and revenue — a directional estimate, not a guarantee.
$
sales / mo
Enter an average sale value and monthly transaction count above to estimate the dollar impact.
Your target here is a perfect 5.0. Published research shows the rating-to-revenue relationship weakens — sometimes reverses — right at a perfect score, so treat the top end of this estimate with extra skepticism.
Where this comes from: Harvard Business School research (Luca, 2011) found a one-star Yelp increase corresponded with a 5–9% revenue increase for independent restaurants, using a causal regression-discontinuity design. This tool prorates that rate linearly for partial-star moves and applies it to your numbers as an industry benchmark, not a guarantee — actual results vary by industry, market, and review volume. A separate cross-industry study of 200,000+ small businesses (Womply, 2019) found revenue tends to peak around 4–4.5 stars and plateau or dip at a perfect 5.0, likely due to lower review volume or perceived authenticity at the extreme.