Customer insight

Why one branch drags down your whole brand rating, and how to find it

How one weak branch pulls down a multi-site brand's rating, why the group average hides it, and a simple method to find the branch that's costing you most.

Bobby Idogho8 min read
Shopper browsing the shelves in a busy store

One branch drags down a brand rating in two ways. In any combined score, busy branches with lots of reviews count for more, so one weak, busy site can pull the whole figure down. And customers who have a bad experience at one site tend to judge the brand, not just the branch.

To find the culprit, rank branches by how much they pull the group down, not by star rating alone. Multiply each branch's gap to the group median by its share of the group's reviews. The branch with the biggest number is costing you most.

This guide is for marketing and operations leads at multi-site groups. It works through one retail example and one food and drink example.

How can one branch pull down a whole brand rating?

A combined rating is a weighted average: each branch counts in proportion to how many reviews it has. So a branch's pull on the brand depends on two things, how far below the others it sits and how busy it is.

Combined ratings turn up in more places than you might think: a brand-wide profile on a review site, an app store rating, and the group figure in a board or head-office report.

A two-store example shows the effect. Store A has a 4.6 rating from 100 reviews. Store B has 3.8 from 300 reviews. The combined rating is 4.0, not the 4.2 you'd get by averaging the two ratings, because Store B wrote three-quarters of the reviews.

The group figure also hides the culprit. A brand rating of 4.3 looks the same whether every site sits at 4.3 or one busy site sits at 3.7 and the rest are fine.

Why does one weak branch matter commercially?

For a multi-site brand, every branch draws on the same reputation, so one weak site spends trust that the others have earned. Research on chains points the same way.

  • People judge chains by the brand. Michael Luca of Harvard Business School studied every restaurant in Seattle from 2003 to 2009. A one-star rise on Yelp was linked to 5–9% more revenue for independent restaurants, but had no measurable effect for chains (Harvard Magazine, 2011). One reading is that customers rely on what they already know about a chain's brand. That makes the brand the asset every branch shares.
  • Weak units can trade on the brand until someone measures them. Ginger Jin and Phillip Leslie studied 24,304 restaurants in Los Angeles County from 1995 to 1998. Franchised chain units scored lower on hygiene than company-owned ones, which the authors read as free-riding on the chain's reputation. Once public hygiene grade cards made each unit's score visible, the gap all but closed (Jin and Leslie, 2009).
  • Small drops cross real thresholds. In BrightLocal's 2026 survey of 1,002 US adults, 68% said they would only use a business rated four stars or more, and 31% would only use one rated 4.5 or more, up from 17% the year before (BrightLocal, 2026). A branch slipping from 4.5 to 4.3 falls below that second line.

These studies are American and, in two cases, years old. Read them as evidence of how customers treat chains, not as UK forecasts.

How do you find the branch that's dragging you down?

Rank branches by their drag on the group, not by their star rating. Drag combines how far a branch sits below its peers with how many of the group's reviews it accounts for.

Drag = (group median rating − branch rating) × (branch reviews ÷ all group reviews)

Drag tells you, in stars, how much the group rating would rise if that one branch performed like a typical branch. A positive number means the branch is pulling the group down. A negative number means it's holding the group up. Use the median rather than the average as the benchmark, so the weak branch doesn't lower the bar it's measured against.

Six steps, using a spreadsheet:

  1. Take the last 90 days for every branch. You need two numbers per site: how many reviews it received and their average rating. Our guide to tracking Google reviews across every branch covers how to collect them.
  2. Find the group median rating. Sort the branch ratings and take the middle one.
  3. Work out each branch's share of reviews. Divide its review count by the group total.
  4. Calculate drag and sort from highest to lowest. The top one or two branches are your candidates.
  5. Check the signal is real. Treat any branch with fewer than 20 reviews in 90 days as directional only. Check the previous 90 days too: a branch that drags in both periods has a pattern, not a bad week.
  6. Read that branch's one- and two-star reviews. Group them by theme, such as queues, staff, stock or cleanliness. The most common theme is usually where to start.

Worked example: a 12-store homeware retailer

In this illustrative group, the lowest-rated store is not the one doing the most damage. The numbers are invented to show the method.

The group received 2,540 reviews in 90 days, for a combined rating of 4.30. The median store rating is 4.45.

Store Reviews (90 days) Rating Share of reviews Gap to median Drag (stars)
Leeds 420 3.7 16.5% 0.75 0.124
Bath 70 3.6 2.8% 0.85 0.023
Birmingham 350 4.3 13.8% 0.15 0.021
Manchester 380 4.4 15.0% 0.05 0.007
Glasgow 260 4.4 10.2% 0.05 0.005
Newcastle 180 4.4 7.1% 0.05 0.004
Nottingham 160 4.5 6.3% −0.05 −0.003
Harrogate 60 4.6 2.4% −0.15 −0.004
Liverpool 200 4.5 7.9% −0.05 −0.004
Bristol 220 4.5 8.7% −0.05 −0.004
Sheffield 150 4.6 5.9% −0.15 −0.009
York 90 4.7 3.5% −0.25 −0.009

Ranked by star rating, Bath looks like the problem at 3.6. But Bath accounts for under 3% of the group's reviews. Leeds, at 3.7, accounts for 16.5%, so its drag is more than five times Bath's.

If Leeds performed like a typical store, the group rating would rise from 4.30 to 4.42. Bringing Bath up to the median would add 0.02. Bath still deserves a look, but Leeds is where the group number moves.

Worked example: an 8-site bakery-café group

In this illustrative group, one busy commuter site holds the whole brand below 4.5. Again, the numbers are invented to show the method.

The group received 900 reviews in 90 days, for a combined rating of 4.37. The median site rating is 4.5.

Site Reviews (90 days) Rating Share of reviews Gap to median Drag (stars)
Station Road 240 4.0 26.7% 0.50 0.133
Retail Park 25 3.5 2.8% 1.00 0.028
University Campus 160 4.4 17.8% 0.10 0.018
Market Square 110 4.5 12.2% 0.00 0.000
Hospital 60 4.5 6.7% 0.00 0.000
Old Town 80 4.6 8.9% −0.10 −0.009
High Street 130 4.6 14.4% −0.10 −0.014
Riverside 95 4.7 10.6% −0.20 −0.021

Station Road is the group's busiest site, with more than a quarter of all reviews. At 4.0 it carries nearly five times the drag of Retail Park, even though Retail Park has the lower rating.

If Station Road performed like a typical site, the group rating would rise from 4.37 to 4.50. On a brand-wide profile, that is the 4.5 line 31% of BrightLocal's 2026 US respondents said they use.

The next step is reading Station Road's one- and two-star reviews. Suppose most mention queues at the morning rush. That points to a staffing or layout fix at one site, not a brand-wide campaign.

Retail Park needs watching rather than action for now. With 25 reviews in 90 days, one bad week can move its rating a long way.

When should you act, and when is it just noise?

Act when a branch tops the drag ranking in two 90-day periods running, has at least 20 reviews in each, and its low reviews share one theme you can fix. Watch rather than act when any of those three is missing.

Signs it's noise:

  • Too few reviews. A site with a handful of reviews can swing a full star in a month.
  • One incident. A broken till, a burst pipe or a single viral post can sink a quarter without saying anything about the branch's usual standard.
  • A known one-off. Refurbishment, roadworks outside or a new opening often bring a short dip that recovers on its own.

After you act, run the same calculation for the next 90 days. If the branch's drag falls and its main complaint theme shrinks, the fix worked. If the drag holds, the theme you picked probably wasn't the cause.

Drag shows where to look, not who to blame. A busy site will always carry more weight, and a fair reading takes the location, the trading pattern and the team's own view into account.

This is the work Akili was built to take on. It scores every branch on the same measures from reviews and social comments, shows which sites are pulling the brand down and why, and ranks what to fix first. It's well suited to multi-site retail and food and drink groups. If you'd like to see it on your own branches, book a demo.

Frequently asked questions

Why is my brand rating falling when most branches seem fine?

Combined ratings weight each branch by its number of reviews, so one or two busy branches with lower ratings can pull the brand figure down on their own. Rank branches by drag to see which ones.

Should I rank branches by star rating?

Not on its own. Star rating ignores how many reviews a branch contributes, so the lowest-rated site is often not the one doing most damage. Rank by drag, which combines the gap to your group median with each branch's share of reviews.

What counts as a good rating for a single branch?

There's no universal number, so compare each branch with your own group median. As a guide to customer behaviour, BrightLocal's 2026 US survey found 68% of consumers would only use a business rated four stars or more.

How often should you check which branch is dragging the rating down?

Monthly, on a rolling 90 days of reviews. A monthly check catches problems early, and 90 days gives most branches enough reviews to trust.

Does this work for franchised sites?

Yes. The calculation is the same for company-owned and franchised sites. Sharing the ranking with franchisees also matters: research on Los Angeles restaurants found that making each unit's hygiene score public closed the gap between franchised and company-owned sites.

Sources

Bobby IdoghoFounder, Akili
Last updated

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