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Case Study: How Riverside Bistro Went from 3.2★ to 4.6★ in 60 Days

December 14, 20257 min read
Case Study: How Riverside Bistro Went from 3.2★ to 4.6★ in 60 Days

Names and details lightly changed for privacy. Numbers are actual.

The situation

Riverside Bistro (name changed) had been operating for six years with a stable 4.4★ rating. In September 2025, a former line cook was let go for cause. Over the following three weeks, 12 one-star reviews appeared — several from accounts that had never reviewed a restaurant before, and one that literally began "As a former employee..."

The rating dropped to 3.2★. Weekend covers dropped 34% within a month. The owner reached out to Go Higher on October 4.

Phase 1 — Triage & documentation (day 1–3)

We audited all 12 reviews plus the 84 legitimate reviews from the previous year. Findings:

  • 3 reviews: Conflict of Interest (ex-employee — provable via LinkedIn history)
  • 4 reviews: Fake Engagement (never visited — reviewer profiles only ever reviewed competitors of the bistro)
  • 2 reviews: Harassment (named a specific server with vulgar language)
  • 1 review: Personal information (included the ex-employee's own claim about internal financials)
  • 2 reviews: Genuine unhappy customers, not eligible for removal

Phase 2 — Filing (day 4–18)

We filed all 10 eligible reviews through Google Business Profile support with policy-specific documentation. Timeline of results:

  • Day 6 — first Personal Information review removed (fastest turnaround, as expected)
  • Day 9 — two Harassment reviews removed
  • Day 14 — three ex-employee Conflict of Interest reviews removed after we submitted LinkedIn screenshots
  • Day 18 — three Fake Engagement reviews removed after escalation
  • Day 21 — the remaining review was ruled ineligible (borderline; still on the listing)

Total: 9 of 10 removed (90%). Rating recovered to 3.9★ mechanically.

Phase 3 — Rating recovery (day 19–60)

Removal alone doesn't finish the job — the 3.9★ rating still felt fragile with only 84 legitimate reviews. We launched a systematic recovery:

  • Deployed our post-checkout review request automation with the bistro's POS. Every satisfied guest received a personalized text with a Google Maps deep link 2 hours after their bill was paid.
  • Coached the owner on responding to every review — positive and negative — within 24 hours. Responsiveness is a public trust signal that lifts intent-to-purchase.
  • Set up 24/7 monitoring so any new review triggered an alert to the owner within 15 minutes.

Over the next 42 days, the bistro accumulated 67 new legitimate reviews (average 4.7★). Rating climbed to 4.6★.

The impact

  • Weekend covers recovered to +8% above pre-crisis levels (higher rating = higher search visibility in Google Maps)
  • Total spend with Go Higher: $1,755 (9 removed reviews × $195, no charge for the 1 that wasn't removed)
  • Estimated revenue recovered in Q4 2025: ~$52,000
  • Time from first call to 4.5★+: 60 days

The takeaways

  1. Document early. Screenshots from day one made the ex-employee case rock-solid.
  2. Removal + recovery, not either/or. Removing bad reviews only gets you halfway.
  3. Response speed matters. Every review — positive or negative — got a same-day response after we took over.

If you're in a similar spot, request a free audit — we'll map every removable review before you commit a dollar.

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