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Review Analytics

Know what customers keep telling you.

Compare review counts and sentiment across locations, sources and months, with the real numbers shown and small samples flagged.

LocationJulAugSepOct
Dayton18223126
Akron9111412
Toledo4653

Review counts per month

Google

148 reviews

Facebook

41 reviews

Yelp

22 reviews

Why it matters

Reviews tell a story only when you see them together.

With several locations, one shop’s great month can hide another’s slide. Percentages from a handful of reviews look dramatic but mean little.

Review analytics shows counts and sentiment side by side, by location and month, and flags when there aren’t enough reviews to compare.

Manager analysing data on a laptop

Interface and key controls

See the details that keep work moving.

Pick a location to see its sentiment split and top themes. Locations with fewer than 20 reviews show counts only.

Jul–Oct 2026 · 97 reviews

Positive71 (73%)
Mixed17 (18%)
Negative9 (9%)
What customers mention most
On-time arrival34 mentions
Friendly crew27 mentions
Missed spots8 mentions
Based on 97 reviews from Google, Facebook and Yelp.

How review analytics works

A clearer way to work.

  1. 01Choose locationsOne, several or all locations.
  2. 02Pick a periodCompare months or seasons.
  3. 03Read counts firstSee how many reviews each number is based on.
  4. 04Compare sentiment and themesSpot which topics come up where.
  5. 05Share with managersSend each location its own view.
Lawn care worker trimming a hedge

Business scenario

A practical day in the business.

FreshCut Lawn Co. runs franchise locations in Dayton, Akron and Toledo, OH. Operations director Paul Kessler reviews analytics each quarter.

  • Oct 5 — Dayton has 97 reviews this quarter; “on-time arrival” is the top theme.
  • Oct 5 — Toledo has only 18 reviews, so its sentiment is shown as counts, not a percentage.
  • Oct 6 — Akron’s “missed spots” mentions rose in September, the busiest month.
  • Oct 8 — Paul shares each location’s view with its franchise owner.

Business scenarios and exceptions

Designed for real-world exceptions.

Every percentage comes with its count, and small samples are flagged instead of turned into dramatic numbers.

Enough data20 or more reviews in the period. Shares are shown alongside the counts.
Small sampleFewer than 20 reviews. Counts are shown, but percentages and comparisons are hidden.
Source missingA review site isn’t connected or stopped syncing. The gap is labeled.

FAQs

Review analytics questions.

Related: Reputation Monitoring · Review Requests

What can I compare?

Review counts, sentiment and themes by location, source and month.

Why are some percentages hidden?

When a location has fewer than 20 reviews in a period, percentages can mislead, so only counts are shown.

Where does sentiment come from?

It’s estimated from review text and can be corrected in Reputation Monitoring.

Who should use review analytics?

Franchises and multi-location service businesses that compare locations over time.

Can each location see only its own data?

Yes. Managers can be limited to their own location’s view.

Compare locations with honest numbers.

Start a 14-day free trial or book a demo to see review analytics.