Case Studies

Case Study: Bournemouth Electrician's Review Engine

Case Study: Bournemouth Electrician's Review Engine
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The Challenge

Sparks Electrical in Bournemouth had a quality problem—not with their work, but with their perception.

Starting position:

The perception gap:

"We'd been trading for 15 years with thousands of happy customers. But online, we looked like a new business because we only had 8 reviews. Customers were choosing less experienced electricians who just had more social proof."

The Solution

We implemented a focused review automation system:

Automated sequence:

  1. Job completed → system triggers
  2. Hour 2: Satisfaction check SMS
  3. Day 2: Review request with 1-click link
  4. Day 7: Gentle reminder (if no review)

Key features:

The Results

Month 1-2:

Month 3-4:

Month 5-6:

Metrics Summary

| Metric | Start | 6 Months |

|--------|-------|----------|

| Google reviews | 8 | 89 |

| Star rating | 4.8 | 4.9 |

| Local rank | Page 2 | #1-2 |

| Monthly enquiries | 25 | 40+ |

| Review request time | 20 min/job | 0 |

Owner's Perspective

"The automation isn't pushy—it's how I would have asked if I had time. And that's the thing: I never had time. So we had 8 reviews after 15 years.

Now I've got 89 and climbing. When customers call, they've already seen the reviews and they're 90% sold before we even quote. My conversion rate is higher because they trust us before we arrive.

The ranking improvement happened automatically. More reviews, Google ranks you higher. It's that simple but I never had the system to make it happen."

Implementation Details

Setup time: 2 hours

Customisation:

Integration:

Lessons Learned

What worked best:

What we adjusted:

Applicability

This system works for any trade with:

Volume matters more than perfection. Businesses completing 10+ jobs/week see fastest growth.

Frequently Asked Questions

Won't automated review requests feel impersonal?+
Not when done correctly. Personalised messages with customer names and job details feel thoughtful, not robotic. The key is appropriate timing and genuine-sounding copy.
How does review volume affect local search ranking?+
Google's local algorithm heavily weights review quantity, recency, and quality. Businesses with 50+ reviews consistently outrank those with fewer, assuming similar star ratings.
What's a good review conversion rate?+
Typical rates are 10-20% of satisfied customers leave reviews when asked properly. Without asking, rates drop below 2%.

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