Review activity contains several different events. A visitor can open a page without creating a draft, or copy a draft without publishing it on Google. Keeping these steps separate makes the report more useful.
Campaigns often reach different audiences at different moments. A reception QR with daily footfall should not be judged against a link used only after a monthly event without accounting for the difference.
An average can hide a mix of very positive and very difficult experiences. Looking at the distribution helps the team see whether feedback is consistent or whether a particular concern deserves investigation.
Themes are useful when they lead to a concrete operational question. An AI summary can help organise comments, but the team should verify the underlying examples before changing a service process.
A sentiment summary interprets words, while a star rating is a number the customer chose. They can differ, especially when a review praises one part of a visit and criticises another.
A weekly report should help the team decide what to improve, not simply list totals. Use a stable set of measures and include enough context to explain unusual changes.
Moving a QR can affect visibility, but activity also changes with customer volume and staff behaviour. A careful comparison describes what was observed without claiming certainty about the cause.
Google-reported visibility metrics describe particular interactions or impressions for a connected profile. They are not a universal local rank and do not prove that a review campaign caused a change.
Illustrative dashboards help explain a product, but sample numbers should never be mixed with actual campaign records. Clear separation protects the team from making decisions based on an attractive example.
A summary is most useful when it starts a specific conversation about the service. Give staff enough evidence to understand a theme without circulating private customer details or treating AI interpretation as a verdict.