Building a Review Engine

Yelp used to run a billboard campaign with the line "People love us on Yelp." The implication was that great service naturally produces great reviews. That's partly true. The problem is that happy customers are busy. They go home, the AC works, and they move on with their lives. Unhappy customers, meanwhile, are motivated. They go straight to Google. If you let the process be passive, the negative end of the scale fills up faster than the positive.

The companies with the strongest review profiles aren't necessarily the ones with the best service records. They're the ones with the most consistent asking process. They've removed the friction, they've trained their techs, and they've built automation that sends the request at exactly the right moment. That system is what this lesson is about.

Reviews matter for two reasons. They influence customers directly, the way any social proof does. And they signal to Google's algorithm that your business is actively serving customers right now, not just that it was impressive at some point in the past. Velocity matters as much as volume.

The Timing Problem Most Businesses Miss

There's a specific window after a service call when a customer's positive feelings are at their peak. The problem is fixed. The house is comfortable. The tech was professional. That window lasts a few hours, maybe a day. After that, the emotional peak fades and review conversion rates drop sharply.

A text message sent within one hour of job completion converts at dramatically higher rates than one sent the next day. Same message. Same customer. Different timing. Your entire review process should be built around capturing that emotional peak, and the best way to do that is automation tied to your job management software.

Measure Your Review Gap Against Competitors

Before you build the engine, it helps to know how far behind the top performers in your market you actually are. The Reputation Gap Analyzer compares your review count and velocity against the top three Map Pack competitors in your area. It also mines the text inside your reviews for the specific language your customers use about your service, which is useful for every other piece of your marketing.

What the Full Lesson Covers

Lesson 7 walks through the complete review engine system. You'll learn the psychology behind why happy customers don't review without a push, the exact timing and message structure that produces the highest conversion rates, how to train your field technicians to prime the ask in person, and how to use automation to make the whole process run without your constant attention.

It also covers velocity strategy, what to do when a dissatisfied customer threatens a bad review, and how to guide customers toward writing detailed reviews that include the service keywords that reinforce your Google relevance.

Read the full lesson: Continue to the full lesson →

Run the Reputation Gap Analyzer first to see where you stand, then bring that data to Lesson 7.