The short answer
Reputation analysis means measuring what customers say about your business online and turning it into decisions. For a local business, the core inputs are your Google reviews: track your average rating and its trend, review volume and recency, sentiment, the themes customers mention most, and your reply rate and reply speed. Review them monthly, per location, and fix the most-mentioned negative theme first.
- Five numbers cover most of it: rating trend, review velocity, sentiment mix, top themes and reply rate.
- Trends beat snapshots. A 4.6 that is falling is a bigger problem than a 4.3 that is climbing.
- Themes tell you what to fix. Sentiment only tells you how people feel.
- Analyse each location separately; an average across branches hides the one that is struggling.
What is reputation analysis?
Reputation analysis is the habit of reading your online feedback as data instead of as a stream of individual comments. Every review is one customer's story. Two hundred reviews are a dataset that shows where your service is consistently strong, where it consistently slips, and whether things are getting better or worse.
Large brands buy social listening tools that scan news, forums and social media. For a restaurant, clinic, salon or trades business, that is usually overkill. Most of the conversation that affects whether a new customer picks you happens in one place: your Google Business Profile reviews. That is where people look before they call, book or visit, so that is where a useful analysis starts.
The review metrics that actually matter
You do not need a dashboard of forty charts. These six measures explain almost every change in how a local business is perceived.
| Metric | What it tells you | How to read it |
|---|---|---|
| Average rating trend | Whether customer experience is improving or slipping | Compare the average of the last 90 days with the 90 days before. The direction matters more than the decimal. |
| Review velocity | How many reviews you get per month | A sudden drop often means your review requests stopped, not that customers got quieter. |
| Recency | How fresh your most recent reviews are | Shoppers favour recent reviews, so a long gap makes even a high rating look stale. |
| Sentiment mix | The share of positive, neutral and negative reviews | Watch the negative share, and read the 3-star reviews: they are the most honest feedback you get. |
| Top themes | What people talk about: staff, wait times, price, cleanliness, quality | Rank themes by how often they appear in negative reviews. That list is your fix-it list. |
| Reply rate and speed | How many reviews get an answer, and how fast | Aim to answer every review within a few days. Silence on a complaint reads as indifference. |
Ratings get the attention, but they move slowly. If you have 300 reviews, a run of bad weeks barely shifts the average. That is why the trend over recent months and the themes inside recent reviews are earlier warning signs than the headline number.
How to run a reputation analysis in five steps
Collect every review in one place
Pull reviews for every location into one list with the rating, date, text and whether you replied. Doing this by hand from Google is slow; Responsly syncs them automatically when you connect your Google Business Profile.
Set a baseline
Note your current average rating, review count, monthly review volume and reply rate for each location. These are the numbers you will compare against next month.
Tag themes in the reviews
Read the last 50–100 reviews and tag what each one is about: staff, speed, price, quality, cleanliness, booking, parking. Count how often each theme appears in positive reviews and in negative ones.
Find the gap between locations
Compare the same metrics location by location. The branch with a falling rating trend or a high share of one negative theme is where a manager conversation will pay off fastest.
Pick one fix and measure it
Choose the most frequent negative theme, change something specific, and check the same theme's share next month. Reputation improves one fixed problem at a time.
Sentiment and themes: turning words into a to-do list
Sentiment answers "how do people feel?" Themes answer "about what?" A business with 80% positive sentiment can still be losing customers if nearly every negative review mentions the same wait time. The theme is the actionable part.
Mixed review: the theme is speed, not quality
Food was genuinely excellent but we waited 40 minutes for mains and nobody told us why.
Thank you for the honest review, and we're glad the food lived up to it. Forty minutes without an update isn't acceptable and we've changed how the floor team checks on tables when the kitchen is backed up. We'd love the chance to show you a smoother evening.
Negative review: the theme is communication
Booked online, turned up, and they had no record of it. Staff were nice but it wasted my morning.
We're sorry, losing your booking and your morning is frustrating and it's on us. We've traced the issue to how online bookings reach the front desk and we're fixing it this week. Please get in touch so we can make it up to you.
- Mixed review: the theme is speed, not quality: The sentiment is mixed, but the theme is clear: waiting without updates. Counted across reviews, that theme becomes a staffing or process fix.
- Negative review: the theme is communication: If several reviews mention bookings going missing, the analysis points to a systems problem, not a staff attitude problem.
Responsly's Insights view groups this for you: rating trend, sentiment and reply rate for each location side by side, plus the themes customers mention most, so you can see what to fix first without tagging reviews by hand.
What your analysis tells you about brand trust
Shoppers judge trust from more than the star average. They look at how many reviews you have, how recent they are, whether the bad ones sound fair, and how the business replied. A strong reputation is one where all of those signals agree.
- Volume with recency: plenty of reviews, and some from the last few weeks.
- A believable spread: a few 3- and 4-star reviews make a 4.7 more credible, not less.
- Visible replies: thoughtful answers to complaints show future customers how you treat people when things go wrong.
- Consistency across locations: one weak branch drags down trust in the whole brand when people compare.
Replies are the one trust signal you control completely. Our Google review statistics page collects the research on how much customers expect a response, and how few businesses give one.
Common reputation analysis mistakes
Do
- Compare like-for-like periods (this quarter vs last quarter).
- Analyse each location on its own before combining them.
- Read the review text, not just the stars.
- Track your reply rate as a metric you own.
Don't
- React to a single angry review as if it were a trend.
- Judge progress by the all-time average alone.
- Ignore 4-star reviews; they often name the one thing missing.
- Ask only happy customers for reviews. Selective asking (review gating) breaks Google's policies.
How Responsly helps with reputation analysis
Responsly connects to your Google Business Profile through Google's official API, brings in your reviews from every location, and keeps them in one inbox. On top of that it gives you:
- Insights: rating trend, sentiment and reply rate for each location, side by side.
- Themes: the topics customers mention most, so the fix-it list writes itself.
- [Low-rating alerts](/reputation-alerts): an in-app and browser alert when a sync finds a 1 or 2-star review.
- [AI replies](/auto-reply-to-google-reviews): on-brand drafts for every review, with low ratings held for your approval.
Responsly focuses on Google reviews. If you need to analyse news coverage or social media mentions as well, pair it with a dedicated social listening tool.