◆ Know Your Customers

Sentiment & Review Mining

What customers are actually saying — across every platform, about you and everyone competing with you.

◆ The Situation

Every customer review is a data point. Most businesses read them occasionally and respond defensively. The pattern hiding across hundreds of reviews — the service moment that keeps appearing, the product feature customers mention right before they stop coming back — stays invisible. You see individual reviews. You never see the shape of all of them together.

◆ The Complication

Until now, mining that pattern at scale was a brand research firm engagement — $20,000 to $40,000 for a study that took three months to complete. The tools that aggregate and analyse this in real time now exist for any business with a Google listing. The data has always been there. The analytical layer is what was missing.

◆ What We Do

We aggregate every review across Google, Yelp, TripAdvisor, HomeStars, and social — your business and every relevant competitor's. We surface recurring themes, emerging complaints before they become patterns, loyalty drivers, and the specific moments that turn a customer into a regular or send them across the street.

We deliver a clear picture of what is working, what isn't, and what your competitors' customers are saying that yours are not. Works at 50 reviews or 50,000. Available as a standalone engagement or as part of the Initial Diagnostic.

◆ What it looks like in practice

A café owner discovers that 23% of negative reviews mention wait time specifically between 7:45 and 8:30am on weekdays. Not food quality, not unfriendly staff — the counter queue at one specific window of the day. One staffing adjustment. Three months later, the complaint has disappeared from the review stream and the average rating has moved half a star.

The intelligence is available. The question is whether anyone is pointing it at your problem.

Start a Conversation