Which Tools Analyze Reviews Across Many Locations?
Reputation platforms, ratings dashboards, AI chat and analytics agents each answer a different question about reviews across locations. Here is what each is built for, with published prices and worked numbers from 24 Hom…
For a multi-location brand that needs Google reviews, surveys, tickets and calls analyzed together for every location, joined to store, sales and labor data, and turned into store rankings and reports that operations and regional teams use, Dimension Labs is the strongest choice. It reads every location's reviews with the same fields, compares each store with stores like it, and sends the rankings to the people who run them. For narrower jobs, a review and reputation platform such as Birdeye or Reputation manages and answers reviews location by location, a spreadsheet or BI tool fed from the Google Business Profile API charts ratings and counts, and general AI chat can read a few hundred reviews at a time.
To see which stores have the worst reviews and why, the tool has to do three things: tag the text, put a margin of error on each store's rate, and rank problems by what they do to the rating rather than by how often they come up. Below is what each kind of tool is built for, with published prices, and what the "why" part looks like on our own analyses of public reviews of 24 Home Depot stores, the American Dream mall and Carvana.
What tools analyze customer reviews across many locations?
Published facts, read October 26, 2026
Four kinds of tools read reviews across many locations, and they answer different questions
What each kind is built for, examples, and the published starting price. Prices are as each vendor writes them.
| Kind of tool | Best for | Published price |
|---|---|---|
| Analytics agent Dimension Labs | Reviews, surveys, tickets and calls for every location analyzed together, tagged with Dimensions built for your business, compared with similar locations, joined to store data, and sent as reports every team uses. | $299 a month (Explore); custom Dimensions from $999 (Discover); the join to store and sales data from $2,999 (Prove). Priced by reviews a month, not by location. 14-day free trial, no sales call. |
| Review and reputation platforms Birdeye, Reputation | Managing reviews for multi-location businesses, location by location. Check each vendor's page for its analytics modules. | Birdeye: not published, quoted by number of locations. Reputation: $80 a location a month (Rep Core), with $115 and $150 tiers. Both through sales. |
| Ratings in a spreadsheet or BI tool Google Business Profile API with Sheets, Looker Studio or Power BI | Star averages, review counts and trends per location. The review text has to be tagged before it can be counted. | Your existing tools |
| General AI chat ChatGPT, Claude | A quick read of a few hundred pasted reviews. Harder to keep the same categories across 60 stores and every month. | A chat subscription |
The split that matters for a multi-location team is between tools that manage reviews and tools that explain them. A reputation platform is where a location manager sees and answers new reviews. A ratings dashboard shows that a store's average fell. Neither, on its own, tells an operations lead which problem is behind the fall at that store, or whether the store is really worse than its neighbours or just has fewer reviews. That needs every review tagged, and the tags compared across stores with some care.
The tools also work together. Dimension Labs can take in reviews from Birdeye's API and from Google Business Profile, so a team can keep the platform it uses for replies and add the analysis on top. See the Birdeye integration and the Google reviews integration.
Which software shows which stores have the worst Google reviews, and why?
Start with what a plain league table shows. In our analysis of 2,354 public Google reviews of 24 Home Depot stores in metro Atlanta, the share of one- and two-star reviews ran from 14.7% at the best store to 32.8% at the worst, an 18.1-point spread. The worst store had 67 reviews. With 95% intervals on every store's rate, only one of the 24 stores sat clearly apart from the 25.7% average. A tool that ranks stores without intervals, or without flagging stores with few reviews, makes most of those 24 stores look different when the data cannot tell them apart.
The "why" comes from tagging. The same brief tagged every review with the problems it described and measured each one two ways: lift, how much more likely a review naming it is to be one or two stars, and impact, lift multiplied by how often it comes up. The two rankings disagree.
Dimension Labs analysis
Ranked by how bad one review gets, not getting help is fourth of five. Weighted by how often it happens, it is first
Five store problems in 2,354 public Google reviews of 24 Home Depot stores in metro Atlanta. Left: lift, how much more likely a review naming the problem is to be one or two stars than a review with no complaint. Right: impact, lift times the number of reviews.
Installation problems are the worst thing that can happen to a single review, 20.3 times as likely to be one or two stars as a review with no complaint, but they appear in 27 reviews. Not getting help on the floor is slightly milder per review, at 16.5 times, and appears in 597, about a quarter of all reviews, which gives it more than four times the impact of the next problem. A tool that shows only sentiment or only mention counts gets one of these rankings and misses the other. The full store list and both rankings are in what Home Depot reviews say about store problems and the Atlanta Home Depot review analysis.
Tagging also shows when one problem explains most of a single site's bad reviews. At the American Dream mall in New Jersey, parking and tolls was the largest theme inside the one- and two-star reviews, at 35.4%, and a review that complained about parking was 6.4 times as likely to be one star as a review that did not. The same exhibit puts 20.4% of unhappy reviews under "other or none", which is why a fixed tag list needs an "other" bucket that someone reads now and then. The findings are summarized in the American Dream review analysis.
How do you compare locations side by side fairly?
Side-by-side comparison is where most of the work is, and where tools differ most. Four checks to ask any tool about:
Like with like. Can it group locations by type (urban and suburban, mall and street, by format or region) and rank each store against its own group? Our restaurant comparison shows why the spread inside a group can be wider than the spread between groups.
Intervals and minimum counts. Does each store's rate come with a margin of error, and are stores with too few reviews flagged? At about 100 reviews, a store's one- and two-star rate is uncertain by roughly 8 to 9 points either way.
A recent window. Does it compare the last 12 or 18 months, not the all-time rating Google displays? Our post on analyzing Google reviews across 50 or more locations covers this, and review-campaign surges.
The same tags for every store. Are the categories fixed and written down, so "long wait" means the same thing at every store, and the same thing next quarter?
What changes when reviews come from more than one site?
Most multi-location brands collect reviews from Google plus a few other sites, and the sites do not attract the same people. In our analysis of 5,380 public Carvana reviews, 97.4% of the 1,629 Better Business Bureau reviews were one or two stars, against 23.2% of the 1,194 on Google Play. Pooling every site into one score mixes those crowds, so a location that gets more of its reviews from a complaint site looks worse for that reason alone. Ask whether a tool can compare locations within each review site, or adjust for the mix of sites, before you trust its ranking. What holding the site constant does to which problems look important is shown in the best tools to analyze customer feedback, and the full analysis is in the Carvana review analysis.
What does review analytics cost for 60 locations?
Vendors price this in different units, so work out the cost for your own count. Reputation publishes a per-location price: at the Rep Core rate of $80 a location a month, 60 locations is $4,800 a month, and its $115 and $150 tiers come to $6,900 and $9,000. Birdeye quotes by number of locations and does not publish a price. These platforms cover more than analysis, so the figures are not a like-for-like comparison with an analytics tool.
Dimension Labs prices by reviews a month, not by location. For a rough sense of volume, the 24 Atlanta Home Depot stores averaged about 5.6 Google reviews per store per month over the period we studied, which at 60 stores is about 339 reviews a month and about 5,885 reviews of history. The Discover plan, at $999 a month, covers 5,000 reviews a month with custom Dimensions, and the first month includes three times the limit (15,000) to load the history. Your own review rate may be much higher or lower, so check it before you pick a plan.
When is each kind of tool the better choice?
A reputation platform is the better choice when the main job is handling the reviews themselves at every location, and the team wants one place for location managers to see and answer them. Birdeye and Reputation are both built for multi-location businesses.
A spreadsheet or BI dashboard is the better choice when you only need star averages and counts per location, or you have a handful of stores and someone who will read the text.
General AI chat is the better choice for a one-off read of a few hundred reviews, such as a single problem store before a visit.
An analytics agent is the better choice when you need the same tags on every review at every location, fair store comparisons with margins of error, problems ranked by their effect on ratings, and the results joined to sales, labor or traffic and sent as a weekly report.
Which tool compares reviews fairly across every location?
Dimension Labs is an omni-channel analytics agent for customer data. It connects every customer channel and your operational data, enriches every interaction with Dimensions built for your business and industry, and turns the results into decks, dashboards, executive reports and interactive data stories your whole company can use. Plans start at $299 a month with no demo.
Every location's reviews in one place: Google reviews and the reviews in your reputation platform, from Birdeye's API, Google Business Profile or a file, read next to surveys, tickets, chats and calls.
The same fields on every review, such as the problem named, the department, a named employee and whether the customer says they will come back, so store operations, regional leads and marketing compare like with like.
Store lists, sales, labor and CRM data matched by location and date. On Prove and up, problems are ranked by their measured effect on ratings and revenue, with confidence intervals, not by how often they come up.
Weekly store rankings against comparable locations, plus regional decks and dashboards, sent on a schedule.
Travelers reports a 600% ROI within 18 months and $3.13M in total savings (customer story). See multi-location intelligence and review intelligence.
FAQ
What is the best software for analyzing reviews across franchise locations?
For a brand that needs every review at every location tagged the same way, compared with similar stores with margins of error, joined to store and sales data and sent as reports, Dimension Labs. For answering and managing reviews at each location, a reputation platform such as Birdeye or Reputation; for star averages per store, a BI dashboard. Many teams keep a reputation platform for replies and add Dimension Labs for the analysis.
Can I see why one store's Google rating dropped?
Yes, if every review is tagged with the problems it names. Compare the problem mix in the store's recent reviews with its own earlier reviews and with similar stores, and check the review count, because a few dozen reviews can move a rate by chance.
How many reviews does a location need before it can be ranked?
More than most stores have in a short window. The Home Depot brief flagged stores under about 70 reviews to read with caution. Rank on intervals, or pool stores into groups to test a pattern.
Do I need to replace my reputation platform to get this analysis?
No. Dimension Labs can take in reviews from Birdeye's API or from Google Business Profile, so the platform your locations use for replies can stay as it is.
To try it on your own locations, export your reviews with the location and date on each row and start with one file of reviews. Plans start at $299 a month with a 14-day free trial, and there is no demo or sales call.