Star Rating
A star rating is the average score, usually from 1 to 5 stars, that guests give you on review sites, maps and delivery apps.
| Star Rating at a glance | |
|---|---|
| Also called | Average rating, review rating, overall rating, bubble rating (Tripadvisor) |
| Scale | 1 to 5 stars on most platforms |
| Formula | Total stars ÷ number of ratings that count |
| Shown as | One decimal (like 4.3), plus star icons in half-star steps on many sites |
| Key platforms for restaurants | Google, Yelp, Tripadvisor, Uber Eats, DoorDash, booking platforms |
| Varies by platform | Which reviews count, recency weighting, rounding |
| Typical shape | J-shaped, with most ratings at 5 stars and a smaller peak at 1 star |
| Research | Luca (HBS, 2011) and Anderson and Magruder (Economic Journal, 2012) on Yelp ratings and restaurant demand |
| Related metrics | Review volume, review velocity, review recency, reputation score |
Key takeaways
- Your star rating averages the ratings a platform counts, and each platform sets which ones count, how much recent ones weigh and how the result is rounded.
- Your restaurant can show different star ratings on Google, Yelp, Tripadvisor and delivery apps, so you'll get fairer location comparisons within one platform.
- Rounding matters because guests see a rounded number or half-star icons, and research on Yelp found that crossing a half-star threshold changes restaurant demand.
- The spread behind your average, especially the share of 1- and 2-star ratings, often tells you more than the average itself.
- A star rating sums up one signal, and a reputation score combines it with review volume, recency, responses and sentiment.
What is Star Rating?
A star rating is the average score guests give your business on a review platform, usually on a scale from 1 to 5 stars. On Google, Yelp, Tripadvisor and delivery apps, it sits right next to your name, often before a guest reads a single review.
Behind that one number are three decisions each platform makes for itself: which ratings count, whether recent ratings carry more weight, and how the result is rounded for display. Once you understand them, you can read your ratings accurately and compare locations fairly.
When guests choose where to eat or order, your star rating is often the first filter they apply. It also affects how visible you are in local search, and it's a core input to any reputation score.
How to calculate a star rating
The basic calculation is a simple average:
Star rating = (5 × number of 5-star ratings + 4 × 4-star + 3 × 3-star + 2 × 2-star + 1 × 1-star) ÷ total number of ratings
Say one of your locations has 200 Google ratings: 110 five-star, 50 four-star, 18 three-star, 10 two-star and 12 one-star. That's 550 + 200 + 54 + 20 + 12 = 836 stars in total.
Divide 836 by 200 and you get an exact average of 4.18. Google would show this as 4.2. A site that draws its star icons in half-star steps would show four full stars, because 4.18 is closer to 4.0 than to 4.5.
The same distribution tells you that 80% of your ratings are 4 or 5 stars and 11% are 1 or 2 stars. Those two shares are worth tracking alongside the average.
Star rating calculator
Enter how many ratings you have at each star level. You'll see your exact average, how it would usually be displayed, and how much new reviews would move it.
The calculator uses a plain average and standard rounding. Platforms that filter reviews or weight recent ratings will show a slightly different number.
How each platform calculates its star rating
Each platform documents its method to a different degree. The table sums up what each one has published about its calculation, along with how the rating appears to guests.
| Platform | Which ratings count | How the average is built | How it's displayed |
|---|---|---|---|
| All ratings published on Google for the place | Average of those ratings, on a 1–5 scale | One decimal, with star icons | |
| Yelp | Recommended reviews only | Average of recommended reviews | Half-star icons, plus a number to one decimal |
| Tripadvisor | All posted review ratings | Simple average | Nearest tenth since early 2025; bubble icons in half steps |
| Uber Eats | Consumer ratings of orders | Average that gives priority to the most recent ratings | Rating with a rating count |
| DoorDash | Ratings from verified DoorDash orders | An algorithm that may give more weight to recent feedback | Rating on the store page |
Google star rating
Google's Business Profile Help page, Understand review scores for local places and businesses, explains that scores run from 1 to 5 stars. It also says the review score is the average of all ratings published on Google for that place.
The same page notes that it can take up to two weeks for your score to update after a new review.
Yelp star rating
Yelp's recommendation software sorts reviews automatically. According to Yelp Support, reviews that aren't currently recommended don't count toward a business's overall star rating.
So your restaurant can have more reviews on its page than the ones your Yelp average is based on. Yelp's star icons move in half-star steps, and its numerical rating adds precision to one decimal without changing the stars.
Tripadvisor bubble rating
Tripadvisor calls its star rating a bubble rating. Its FAQ on the refined bubble rating explains that from late February 2025, ratings for restaurants, hotels and attractions are rounded to the nearest tenth. Before that, they were rounded to the nearest half.
The calculation itself stayed the same: a simple average of all posted review ratings. The bubble icons still round to the nearest half. Tripadvisor's popularity ranking is a separate measure that also weighs how recent your reviews are and how many you have.
Delivery app star ratings
Delivery apps rate merchants from feedback on each order. Uber's ratings policy describes merchant ratings on Uber Eats as averages of consumer ratings that give priority to the most recent ones.
DoorDash's merchant help describes its store rating as based on verified DoorDash orders and calculated by an algorithm that may give more weight to recent feedback. Neither app publishes a full formula, so your own order-level data is the best way to see what moves these ratings.
Star rating rounding and display
Guests rarely see your exact average. They see a rounded number, a row of star icons, or both, and small differences in your underlying average can look quite different on screen.
| Exact average | One decimal | Nearest half star |
|---|---|---|
| 4.18 | 4.2 | 4.0 |
| 4.24 | 4.2 | 4.0 |
| 4.26 | 4.3 | 4.5 |
| 4.74 | 4.7 | 4.5 |
| 4.76 | 4.8 | 5.0 |
Rounding thresholds have real consequences. Luca's Yelp study used them to isolate the effect of ratings on revenue. Anderson and Magruder's Learning from the Crowd (Economic Journal, 2012) found that an extra half star made San Francisco restaurants sell out 19 percentage points more often at the 7 p.m. peak.
In practice, it helps to know where each of your locations sits relative to the next threshold. A location averaging 4.24 on Yelp shows the same four stars as one averaging 3.76, and a modest improvement could lift it to four and a half.
Star rating distribution
Two restaurants with the same star rating can offer very different guest experiences. The spread of ratings from 1 to 5 stars shows whether an average reflects consistently good service or a mix of very happy and disappointed guests.
Online ratings tend to follow a J-shaped distribution: lots of 5-star ratings, a smaller cluster of 1-star ratings and few in between. Nan Hu, Paul Pavlou and Jie Zhang described this pattern in Overcoming the J-shaped Distribution of Product Reviews (Communications of the ACM, 2009). They argued the average alone is a poor stand-in for quality.
| Location | 5★ | 4★ | 3★ | 2★ | 1★ | Average |
|---|---|---|---|---|---|---|
| A (consistent) | 40% | 50% | 10% | 0% | 0% | 4.3 |
| B (polarized) | 70% | 15% | 0% | 5% | 10% | 4.3 |
Location B has the same 4.3 average with a 15% share of 1- and 2-star ratings. That usually points to an inconsistency, like slow service at certain dayparts, and sentiment analysis of the low-rated reviews tends to show you which issue it is.
Star rating vs. reputation score vs. CSAT and NPS
| Metric | What it measures | Who sets it | Best for |
|---|---|---|---|
| Star rating | Average public rating on one platform | Guests, with the platform's rules | How new guests see you before visiting |
| Reputation score | Composite of rating, volume, recency, responses and sentiment | You or your software vendor | One summary across platforms and locations |
| CSAT | Satisfaction with a visit, from your own survey | You | Spotting problems at a touchpoint |
| NPS | Likelihood to recommend, from your own survey | You | Loyalty trends |
Your star rating is public and controlled by the platform, which makes it the number guests actually see. A reputation score adds signals like review velocity and review recency. CSAT and NPS capture private feedback from guests who never post a review.
What is a good star rating for a restaurant?
A good star rating depends on the platform, your category and the restaurants guests compare you with. Platforms differ in who reviews and which reviews count, so a 4.2 on Yelp and a 4.2 on Google describe different things.
Your most reliable benchmarks are internal and local: your own trend, the spread between your locations on the same platform, and nearby competitors in your category. Hash House A Go Go, for example, improved its Google ratings to 4.9 stars across all locations.
When you look at reputation location by location, you'll usually find that a brand average hides a few locations pulling it down.
How to track star ratings across locations
Tracking works best when every location's ratings from every platform land in one place. A unified inbox gathers new reviews as they come in, and review aggregation lets you report on them together.
A weekly report for each location usually shows the current average on each platform, the change since last month, the rating distribution and the number of new reviews. An operator report puts those figures in front of each general manager.
If you record your exact average before rounding, you'll spot small trends weeks before they change the number guests see.
Limitations of the star rating
- Self-selection. Guests with very good or very bad experiences are the most likely to post, which creates the J-shaped pattern.
- Different rules on each platform. Filtering, recency weighting and rounding make comparisons across platforms approximate.
- Small samples. A location with 20 ratings can move by more than a tenth of a star with one review, so trends need context.
- Lost detail. An average hides whether the problems are about food, speed, accuracy or staff.
- Manipulation. Fake and incentivized reviews distort averages, which is why the FTC's 2024 rule on fake reviews bans buying them and suppressing negative ones.
How to improve your star rating
A lasting improvement comes from fixing what low ratings describe and from hearing from more of your happy guests. You need both, because a fix without new reviews takes a long time to show up in an established average.
- Finding the themes behind low ratings. When you group 1- and 2-star reviews by topic, you can see which issue affects the most guests. Operational insights can then tie those themes to specific locations and dayparts.
- Responding to every negative review. A calm, specific reply and a recovery offer can bring a guest back and show future readers that you listen. Our AI review manager can draft those replies in your brand's voice, and your review response rate is the number to watch.
- Inviting every guest to review. Fair review solicitation through receipts, QR codes and follow-up messages keeps new ratings coming in. Review boosting automates the invitations.
- Asking everyone the same way. Sending only happy guests to public sites is review gating, which Google's policies prohibit.
Results at scale are possible. Baskin Robbins Malaysia tripled its Google ratings and achieved 10x ROI in 8 weeks, and Island Wing Co. worked with us to boost customer ratings by 35%.
Best star rating tools for restaurants
If you run a restaurant brand, a good star rating tool covers every platform your guests use, shows ratings and distributions by location, and helps your team reply quickly. Reports that link low ratings to specific topics turn the data into something you can act on.
| Tool | Best known for |
|---|---|
 MomosBest pick | Our guest AI for multi-location restaurants. Reviews from Google, reservation and delivery platforms land in one Unified Inbox, and AI categorization shows which topics drive low ratings. Our Alfie assistant drafts and sends replies, with reporting across every location. |
 Birdeye | Reviews, listings and customer messaging for multi-location businesses |
 Reputation | Enterprise reputation management across reviews, listings and social media (formerly Reputation.com) |
 Chatmeter | Local brand reputation management with review and sentiment analytics |
 ReviewTrackers | Review monitoring and reporting across many review sites |
 Yext | Business listings and information management across search engines, maps and directories |
Each tool takes a different approach, so it's worth comparing them against your own platforms and number of locations.
Common star rating mistakes
- Comparing ratings across platforms. A 4.4 on Google and a 4.0 on Yelp may describe the same guest experience.
- Watching only the rounded number. Your exact average shows movement weeks earlier.
- Ignoring the distribution. A steady average can hide a growing share of 1-star ratings.
- Reacting to small samples. A single review at a low-volume location is a signal worth reading, and a trend needs more data.
- Chasing ratings with incentives. Paying for reviews or gating them breaks platform rules and, in the US, the FTC's rule.
- Overlooking delivery app ratings. They often point to packaging, accuracy and temperature problems your team can fix.
History of the star rating
Hotels and restaurants were rated on star scales in printed travel guides long before the internet. Online, consumer review sites turned the star rating into a crowd-sourced number. Tripadvisor (founded 2000) uses a five-point "bubble" scale, and Yelp (founded 2004) rates local businesses from one to five stars.
Google's local reviews, now part of Google Business Profile (renamed from Google My Business in 2021), put star ratings right in Search and Maps. Delivery apps such as Uber Eats and DoorDash added their own ratings, collected after each order.
Research soon showed that these averages affect restaurant demand. In 2011, Michael Luca wrote a Harvard Business School working paper, Reviews, Reputation, and Revenue: The Case of Yelp.com. He found that a one-star increase in Yelp rating led to a 5 to 9% increase in revenue for independent restaurants, with no measurable effect for chain-affiliated ones.
Display formats have changed too. Yelp added numerical ratings rounded to one decimal place next to its star icons, and in early 2025 Tripadvisor began showing ratings to the nearest tenth of a bubble.
Frequently asked questions
How is a star rating calculated?
Most platforms add up the stars from every rating they count and divide by the number of those ratings. Google describes its review score as the average of all ratings published for a place. Some platforms then adjust the result. Uber Eats, for example, gives more weight to recent ratings, and Yelp only counts recommended reviews.
Why is my rating different on Google and Yelp?
Each platform has its own guests, its own filters and its own rules. Yelp's recommendation software leaves some reviews out of the average, delivery apps weight recent orders, and different people review on each site. A gap between platforms is normal, and it's best to track it over time.
Why hasn't my Google rating changed after a new review?
Google's Business Profile Help says it can take up to two weeks for a review score to update after a new review is posted. And if you already have lots of reviews, one new rating moves the average only slightly, so the rounded number you see may stay the same.
What is a good star rating for a restaurant?
No single benchmark works across platforms, cities and cuisines. Your most useful comparisons are your own trend, the gap between your locations on the same platform, and the ratings of nearby restaurants guests compare you with. Your share of 1- and 2-star ratings is worth watching too.
How many reviews does it take to raise my star rating?
It depends on how many reviews you already have and how far you want to move. The calculator on our online reputation management page estimates how many 5-star reviews it would take to reach a target rating.
Can I remove a bad rating to improve my average?
Platforms remove reviews that break their policies, like fake or off-topic ones, and you can flag those. Honest negative ratings stay up. Over time, a calm, specific reply to the negative review and a fix for the underlying problem do more for your average.
Is a 5.0 rating better than a 4.8?
Not always in a guest's eyes. A perfect score built on a handful of reviews can look less convincing than a 4.8 backed by hundreds of recent ones. Volume and recency give the average its credibility.