Review Data and Statistics

Most businesses respond to under 21% of reviews. We analyzed response rates across restaurants, dental practices, and service businesses—here’s what works.

A single negative review can drag your rating down for months. We analyzed the math and timeline of negative review long term impact on your score.

Review volume seasonality follows predictable monthly patterns. Learn when customers write most—and how to staff, budget, and respond through every swing.

Review volume vs rating: data shows both matter, but in different stages. Learn when quantity beats quality and how to balance both for conversions.

How often do customers update reviews after posting? We analyzed real data to answer the question. Spoiler: it happens far less than you think.

Star rating inflation has crept upward for a decade. We examine the long-term trend, what it means for your benchmarks, and how to read reviews when everyone’s a 4.5.

AI written reviews detection is now a platform priority. Learn the patterns Google and Yelp watch, the compliance risks for your business, and how to stay clean.

Learn how dish names in reviews analytics reveal what’s working on your menu—without surveys or guesswork. Free monthly insights for restaurant owners.

Sentiment trend predicts rating drop before it shows in your score. Learn how negative language clusters signal trouble 2–4 weeks early.

Compare your reviews per month benchmark against real-world data by business size and industry. Know if you’re keeping pace—or falling behind.