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Case Studies
08 Feb 2026 • 3 min read

Case study: a hair salon goes from 3.8 to 4.7 stars

How a hair salon raised its Google rating from 3.8 to 4.7 stars in 6 months thanks to the negative review filter and an optimized collection strategy.

Case study: a hair salon goes from 3.8 to 4.7 stars

The background

L'Atelier Beauté is a unisex hair salon located in the town center. With 3 hairdressers and a loyal clientele, the salon had an online reputation problem.

Starting point:

  • 45 Google reviews
  • Average rating: 3.8 stars
  • Several recent negative reviews (1-2 stars)
  • Position 12 on Google Maps for "hairdresser" in the area

The diagnosis

By analyzing the reviews, we identified a classic pattern:

  • Satisfied customers didn't leave reviews ("I'll come back, that's what matters")
  • Unhappy customers, on the other hand, took the time to write detailed negative reviews
  • The result: a rating that didn't reflect the reality of the service

Sophie, the manager, told us: "My regular clients love the salon, but it's the new ones who see this rating and hesitate to come."

The strategy implemented

Phase 1: Protecting the reputation (Month 1)

We first set up the negative review filter. Every client who scanned the NFC plate was first invited to give a rating:

  • 4-5 stars → Redirected to Google for a public review
  • 1-3 stars → Private feedback form + alert sent to Sophie

Immediate result: negative reviews stopped appearing publicly. Sophie received the feedback by email and could call the client to resolve the problem.

Phase 2: Collecting at scale (Months 2-4)

With 2 NFC plates (one at reception, one at the styling station), the team was trained to ask for a review at the right moment: right after the cut, in front of the mirror, when the client sees herself and is happy.

Script used: "Are you happy with the result? Great! If you have 30 seconds, a quick Google review would really help us. Just hold your phone here."

Phase 3: Winning back unhappy clients (Months 3-6)

The filter helped identify recurring problems:

  • Waiting times that were sometimes long
  • Pricing that wasn't always clearly communicated

Sophie fixed these issues and called back every dissatisfied client to offer a free touch-up. Several of them came back and ended up leaving a positive review!

The results after 6 months

MetricBeforeAfterChange
Number of reviews45127+182%
Average rating3.84.7+0.9
Public negative reviews~2/month0-100%
Google Maps position12th2nd+10 places
New clients/month~15~28+87%

Sophie's testimonial

"The negative review filter changed everything. Before, I found out about problems by reading negative reviews on Google. Now I'm notified immediately and can call the client to put things right. Not only has my rating soared, but I also understand my clients' expectations better."

Sophie, manager of L'Atelier Beauté

Key takeaways

  1. Protection before collection: Stopping negative reviews is just as important as collecting positive ones
  2. Private feedback is valuable: It lets you genuinely improve your service
  3. The right moment matters: In front of the mirror, right after the cut = maximum conversion rate
  4. Recovery is possible: An unhappy client who is handled well can become an ambassador

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