
Reviews in.Decisions out.
Review intelligence for multi-location brands.
The coffee was great, but only one till was open and the queue went out the door.
Open a second till at peak hours
it matters
felt
about
it matters
felt
about
Your customers are talking. Most of it never reaches you.
Every store has a voice. At chain scale it is buried in an endless stream of Google reviews, so all you see is a star average instead of what customers actually say.





| Location | Store code | Rating | Rating trend | Reviews / mo | Sentiment | Status | |
|---|---|---|---|---|---|---|---|
![]() Starbucks Soho 48 Old Compton Street · London | #10421 | 4.71★+0.05 | 486+10% | 82% positive | Healthy | ||
![]() Starbucks Bermondsey 104 Bermondsey Street · London | #12184 | 4.64★+0.02 | 293+4% | 82% positive | Healthy | ||
![]() Starbucks Brixton 424 Coldharbour Lane · London | #11156 | 4.08★−0.06 | 233−3% | 57% positive | Watch | ||
![]() Starbucks Stratford 5 Montfichet Road · London | #11495 | 3.79★−0.17 | 162−8% | 46% positive | At-risk | ||
| Wait-time mentions ↑ 22% · 14 reviews this week | |||||||
![]() Starbucks Shoreditch 91 Great Eastern Street · London | #10502 | 4.58★+0.22 | 264+19% | 79% positive | Improving | ||
Get important reports on your e-mail
A monthly summary arrives at the start of each month.
- Reviews, average rating and sentiment vs the previous month
- AI summary with highlights, lowlights and recommendations
- Top themes and rising concerns
- Locations that improved or declined the most
- The most important review of the month
Review volume climbed for a third straight month, the brand average crossed 4.1 stars, and positive sentiment gained ground, but product-quality complaints are concentrating in two regions.
- Zagreb led the brand at 4.28 stars, its best month on record, with staff friendliness mentioned in 3 of every 4 positive reviews.
- The morning second-till playbook cut wait-time complaints in Split by 41% month over month.
What customers actually talk about.
Themes are discovered from your own reviews, then broken into the specific thing inside them.
The loop starts at the counter.
Reading reviews is half of it. Getting more of them, and answering them, is the other half.
Scan the code and leave a quick review. It takes less than a minute.

- 01
A customer scans
One card per location. No app, no registration.
- 02
They review on Google
Straight to that location's own review form, in two clicks.
- 03
We read it
Sentiment, themes, products, importance, improvement request.
- 04
A reply is drafted
Matched to the review. A manager sends it, or does not.



The questions everyone asks first.
Yes, and there is nothing to sign. We run it on your brand's public Google reviews and send you the document. If it is useful, we will talk. If it is not, you keep it anyway.
Not for the analysis. It runs entirely on reviews that are already public on Google Maps. Access only becomes relevant later, if you decide to connect your own profile for continuous analysis.
Every insight links back to the reviews it came from, so you can verify any number by reading the underlying reviews. We do not publish an accuracy percentage, because the only figure that would matter is the one measured on your corpus, and the analysis lets you judge that yourself.
Never. The application contains no code path that writes to your Google profile. Every call it makes to Google is a read.
Those tools collect reviews and help you respond to them. This one reads them. It tells you which themes repeat, which locations differ, which menu items customers judge, and what they are asking you to change. It can run alongside what you have.