Review Data and Statistics

We analyzed photo reviews share stats across thousands of restaurant and dental reviews. Here’s the text-only vs image split and what it means for your business.

We analyzed 47,000 reviews to measure reviews without text share. Star-only reviews account for 23–31% across platforms, impacting your insight pipeline.

Weekend vs weekday review rating patterns reveal consistent differences. We analyzed when customers leave reviews and what it means for your business.

We analyzed thousands of restaurant and dental reviews to measure the reviews mentioning price share. Real numbers, no guesses—see what customers actually say.

Review rating time of day stats show when your worst reviews arrive. We analyzed timestamps to find patterns restaurants and dental practices can act on.

We analyzed thousands of reviews to find how many customers mention staff by name. The reviews mentioning staff by name stats reveal gaps most businesses miss.

Seasonal review patterns reveal when customers complain most and when they forgive. Restaurant and dental data show predictable spikes—plan your staffing and response capacity accordingly.

Does review volume local ranking correlation hold up? We analyzed the data on review count, local pack placement, and what matters more than sheer numbers.

How much does a one star review impact rating? The math depends on your current star count and total volume. We break down the damage and recovery timeline.

Review response time benchmark data shows most businesses take days—or never respond. See the numbers, what competitors do, and how fast is fast enough.