Case Study · Fencing

The Fence Guy: 30 to 75 Reviews, +1.0 Star

The Fence Guy is an Anchorage fence contractor. They had a middling 3.6 rating across 30 reviews — enough old complaints to hurt, not enough recent reviews to recover. Review automation more than doubled the count and lifted the rating a full star.

The problem

This is the hardest version of the review problem: not just a low count, but a rating that actively hurts. The Fence Guy sat at 3.6 stars. A few old, unhappy reviews were dominating the profile because there weren't enough recent positive ones to outweigh them.

The current work was good. The current customers were happy. But the profile reflected the past, and a 3.6 sends homeowners to a competitor before the phone ever rings.

What we built

Review automation triggered on each completed fence install. Every customer gets a text the morning after the job wraps, linking straight to the Google review form, with one polite follow-up. The point was volume of genuine, recent, positive reviews — enough to shift the average, not bury the past dishonestly.

The outcome

"My rating jumped a full star and I more than doubled my reviews. Customers actually find me now." — Dennis, The Fence Guy

Why it worked

A bad rating is rarely a quality problem — it's a recency-and-volume problem. A couple of old complaints carry too much weight when nothing new is coming in. Steadily asking every satisfied customer floods the profile with current, genuine reviews, and the average follows. No tricks, no review gating — just asking everyone.

Questions we get

How much did The Fence Guy's rating improve?

A full star — from 3.6 to 4.6 — while more than doubling the review count from 30 to 75. The rating climbed because asking every customer diluted the early negative reviews with a steady stream of genuine positive ones.

Can review automation fix a mediocre star rating, not just a low count?

Yes, when the recent work is good. A 3.6 rating often reflects a handful of old complaints and not enough recent reviews to balance them. Systematically asking happy customers shifts the average up over time.

Does fencing work fit this model?

It fits any project-based trade. A fence install has a clear finish line and a customer looking at a result they are happy with — the ideal moment for the automated ask.

For how this works, see review automation. Other results: FWD Construction, Total Roof Care, Wrench on Wheels.

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