How online reviews affect sales for multi-site brands

In short: online reviews affect sales by shaping trust before a visit. Too few reviews leave buyers uncertain, weak ratings can reduce demand, and unanswered or generic replies signal neglect. Good review management doesn’t chase a perfect 5.0. It collects feedback fairly, replies consistently at every site, and turns recurring complaints into fixes. The research shows the effects are real, but they vary by brand and location and aren’t guaranteed for every business.

When someone stands outside one of your branches deciding whether to go in, they aren’t reading your brand campaign. They’re reading what the last dozen visitors said about that location, and whether anyone from the business replied.

For multi-location brands, the problem is sharper. A strong group average can hide a weak branch. A well-known national brand can still look neglected on Google Maps if replies stop at one region. And “we’ll get to reviews when we have time” is itself a commercial choice, one that leaves demand at risk.

This article sets out what the published research shows about how online reviews affect sales, and where the evidence is stronger or weaker. It then covers what review management looks like when you run many sites, not one shop.

How do few, poor and ignored reviews affect sales?

Marketing and operations teams often talk about “reviews” as one problem. In practice, having few or no reviews, having poor reviews and neglecting reviews behave differently, and cost you differently.

What happens when a location has few or no reviews?

When a location has little or no recent feedback, customers don’t always assume the worst. More often they’re simply unsure, and that’s enough to lose the booking.

BrightLocal’s Local Consumer Review Survey 2026, a US panel of 1,002 adults, found that 97% of respondents read reviews for local businesses. 74% only care about reviews written in the last three months, and 47% won’t use a business with fewer than 20 reviews. These are self-reported intentions from a US sample, not a UK sales experiment.

On product pages, Northwestern University’s Spiegel Research Center found a large effect when reviews appear at all. In its analysis of a retailer’s website (Askalidis and Malthouse, RecSys 2016, summarised by Spiegel), a product with five reviews was about 270% more likely to be bought than a product with none. Most of the gain came from the first few reviews. That is ecommerce data, not a café or hotel estate, so treat the size of the effect as a direction for local businesses rather than a forecast. The lesson still holds: a location with no reviews gives buyers nothing to go on.

For multi-site brands, the gap is rarely brand-wide. It is usually one branch that stopped collecting feedback, a franchisee who never asks, or a new site that opened without a review habit. The group average stays respectable while that location quietly loses customers. Our guide to why one branch can drag down a brand rating shows how to find it.

How much do poor reviews cost?

Bad reviews hurt because they are public and they stay up. They also tell you what is going wrong.

Michael Luca’s Harvard Business School working paper, Reviews, Reputation, and Revenue: The Case of Yelp.com (2011, revised 2016), combined Seattle restaurant revenue data with Yelp ratings. It compared restaurants that sat just either side of the points where Yelp rounds a rating up or down by half a star. Luca estimated that a one-star increase in Yelp rating raised revenue by roughly 5–9% for independent restaurants. Chain restaurants showed little comparable effect, which Luca read as online reviews standing in for brand reputation among independents. That caveat matters for national brands.

Anderson and Magruder’s study in the Economic Journal (2012) used a similar approach. It found that an extra half-star on Yelp raised the chance of a restaurant selling out its prime-time reservations by about 19 percentage points. The effect was strongest where diners had little other information about quality.

Neither paper says every multi-site brand will see a guaranteed lift from a higher rating. What they do show is that displayed ratings can move real demand for local businesses. For a group, the risk is usually uneven: one weak branch at 3.8 can lose customers even while the brand markets itself as a 4.5 operator.

Spiegel’s research also found that purchase likelihood peaks at ratings between 4.0 and 4.7 and falls as ratings approach a perfect 5.0. In those categories, a flawless score looked less believable. It isn’t a universal rule, but it’s a useful reminder that chasing a perfect score isn’t the same as earning trust. A 4.4 with honest criticism and a thoughtful reply can be more persuasive than a spotless average.

What does ignoring reviews cost?

The third problem is the one multi-site brands most often underestimate: not the rating itself, but what silence says.

In BrightLocal’s 2026 survey, 89% of respondents expected businesses to respond to reviews, and 50% said templated replies put them off.

Research on hotels supports the idea that replying can change outcomes, with caveats. Proserpio and Zervas (Marketing Science, 2017; also covered by Harvard Business Review in February 2018) studied Texas hotels on Tripadvisor. They compared each hotel’s Tripadvisor ratings with its Expedia ratings. Hotels that started replying saw ratings rise by about 0.12 stars and review volume grow by about 12%. That describes hotels that chose to reply, not a promise for every business that starts a reply policy.

For a multi-location brand, neglect usually looks like this. Head office assumes sites are replying. Some are, but inconsistently. A few never open the inbox. And the brand voice splits across twenty managers, each writing in their own way.

What does good review management actually do?

The benefit of review management isn’t more five-star posts. Done well, it is a loop: collect reviews fairly, reply well, learn what to fix, and check the fix worked, at every location.

How do you collect reviews without breaking the rules?

You can ask customers for reviews. You shouldn’t buy them, filter who you ask, or hide incentives.

Google’s Business Profile guidance is explicit: offering incentives such as discounts or free goods in exchange for posting, changing or removing reviews is prohibited. Ask every customer, not only the happy ones, and don’t suggest what rating to give.

In the UK, since April 2025 the Digital Markets, Competition and Consumers Act has treated fake reviews and concealed incentivised reviews as banned practices that are automatically unfair. The CMA’s fake reviews guidance (CMA208) sets out what businesses that publish or collect reviews must do. Collecting reviews responsibly isn’t only good practice; it’s compliance.

How do you keep replies consistent across every site?

A useful reply is timely, specific and human. It responds to the detail of the review, explains what you’ll do (or why you can’t), and offers a private follow-up when the issue is sensitive. It doesn’t paste the same “Sorry to hear that!” under every one-star and five-star review alike.

For multi-site brands, the real question is who owns what: who replies, how fast, what gets escalated, and how you check reply rate and reply time by location. A short review response policy keeps twenty managers sounding like one brand, and our guide to replying to negative reviews across a franchise has worked examples. Without that, head office only sees the average, and averages hide the weak sites.

How do reviews become operations intelligence?

The commercial value of reviews is rarely the reply itself. It’s the pattern: Saturday queues at three city-centre sites, portion complaints after a menu change, card-machine faults in one region. Those themes are early warnings of lost visits, if someone is reading across the whole estate.

That’s the difference between a review inbox and multi-location review management. An inbox helps you answer. Management helps you decide what to fix first, where, and whether it worked. Our guide to measuring brand perception shows how to turn those themes into a scorecard for every site.

Where should a multi-location team start?

If you run marketing, CX or operations across many sites, six steps are enough to move from reacting to reviews to managing them.

1. Score every location the same way. Look beyond the star average to volume, recency, reply rate and the themes customers repeat. Our guide to tracking Google reviews across every branch shows how.
2. Find the weak branches before the brand average hides them. One site slipping from 4.4 to 3.9 can cost visits while the group still looks fine.
3. Set a reply standard your managers can follow: tone, timing, escalation, and no generic templates.
4. Ask for reviews continuously and fairly, after every visit and from every customer, with no incentives.
5. Rank issues by impact, not by who complained loudest internally. Waiting times that come up in dozens of reviews deserve a different response from a one-off complaint.
6. Close the loop. When you fix something, check whether ratings, themes and sales at that site moved.

How do you tell whether reviews are affecting sales?

Track more than stars. Alongside reply rate, rating and how recent your reviews are, watch each location’s bookings, enquiries, profile clicks and, where you can, actual sales. Compare like-for-like periods and, where possible, compare against similar branches that didn’t make the change. A rise in ratings alongside a rise in sales is encouraging, but on its own it doesn’t prove the reviews caused it. Our Google review calculator shows how many 5-star reviews each site needs to reach a target rating, which helps set realistic goals.

Frequently asked questions

Do online reviews affect sales?

Yes. Research on Seattle restaurants found that a one-star rise on Yelp was linked to 5–9% more revenue for independent restaurants, though chains showed little comparable effect. Survey data points the same way: in BrightLocal’s 2026 US survey, 97% of consumers read reviews for local businesses.

How many reviews does a business need?

There’s no fixed number, but recency and volume both matter. In BrightLocal’s 2026 US survey, 47% of consumers said they won’t use a business with fewer than 20 reviews, and 74% only care about reviews from the last three months.

Does replying to reviews increase sales?

Replying can improve ratings, which can affect demand. A study of hotels found that those which started replying saw ratings rise by about 0.12 stars and received about 12% more reviews. In BrightLocal’s 2026 US survey, 89% of consumers expected businesses to reply.

Is a perfect 5-star rating best?

Not necessarily. Spiegel Research Center found that purchase likelihood peaks at ratings between 4.0 and 4.7 and falls as ratings approach 5.0, because a perfect score can look less believable.

Can you offer incentives for reviews?

No. Google prohibits offering anything in return for posting, changing or removing a review, and in the UK concealed incentivised reviews have been banned since April 2025.

How can Akili help?

Once you know how online reviews affect sales, the next question is practical. How do you see every branch, keep replies consistent, and turn themes into actions without another spreadsheet?

Akili is a market intelligence platform for consumer brands, and it works especially well for multi-location groups in food and drink, retail, leisure and hospitality. Its review management software brings reviews and social comments into one place and drafts replies for your team to check and send. It scores each location on the same measures and ranks issues by their likely effect on revenue, so you can fix what matters first. There are no per-user fees, so managers across the estate can work from the same view. Our guide to what review management software costs compares Akili’s pricing with other tools.

The most useful next step is seeing the picture on your own locations. Book a demo and we’ll show you how customers see your sites next to your closest competitors, then help you decide what to fix first.

Written for marketing, CX and operations teams at consumer brands, including multi-location groups. Research is cited with original sources; survey figures are self-reported intentions unless stated otherwise.

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