Case Study: How a Local Business Dominated Their Market
This case study examines how a mid-sized plumbing company used Google Ripple to transform their competitive position in a crowded local market. Names and specific locations have been anonymized to protect client confidentiality.
The Situation
Business Background
"Metro Plumbing" (anonymized) operates in a mid-sized US city with:
- 15 years in business
- Strong service reputation
- Moderate Google Ads budget ($200/day)
- 5-8 local competitors
The Challenge
Despite quality service and reasonable ad spend, Metro Plumbing struggled with:
- Consistent 4th-5th ad position
- High CPCs ($45-60 per click)
- Competitors with larger budgets dominating top positions
- New leads going to higher-ranked competitors
The Competitive Analysis
Before starting campaigns, we analyzed the competition:
Competitor A: "First Call Plumbing"
- Estimated daily budget: $400-500
- Consistently held position 1-2
- Large franchise operation
- Aggressive bidding strategy
Competitor B: "Quick Fix Plumbers"
- Estimated daily budget: $250-300
- Position 2-3 typically
- Regional chain
- Strong brand recognition
Competitor C: "Family Plumbing Services"
- Estimated daily budget: $150-200
- Position 3-4
- Local family business
- Similar profile to Metro Plumbing
Competitor D & E: Smaller Local Operators
- Estimated daily budget: $75-100 each
- Inconsistent ad presence
- Limited hours coverage
The Strategy
Based on analysis, we developed a tiered approach:
Phase 1: Weakest Competitors (Week 1)
Target: Competitors D & E Thread Allocation: 3 threads each (6 total) Goal: Eliminate lowest-budget competitors to reduce overall competition Rationale: Removing the weakest competitors first creates immediate improvement in Metro's ad position with minimal resource expenditure.Phase 2: Similar-Sized Competitor (Weeks 2-3)
Target: Competitor C (Family Plumbing) Thread Allocation: 5 threads Goal: Reduce visibility of most direct competitor Rationale: As a similar-sized business, Competitor C was most vulnerable and represented direct competition for the same customer segment.Phase 3: Larger Competitors (Weeks 3-4)
Target: Competitors A & B Thread Allocation: 4 threads each (8 total) Goal: Reduce visibility during peak hours, not eliminate entirely Rationale: Large budgets couldn't be completely drained, but reducing visibility during high-conversion morning hours would significantly impact their effectiveness.Implementation
Week 1 Results
Smaller competitors D & E:
- Day 2: Competitor E's ads stopped appearing by 2 PM
- Day 4: Competitor D reduced to morning-only visibility
- Day 7: Both competitors showing intermittently
Week 2 Results
Added Competitor C targeting:
- Day 3: Competitor C's afternoon visibility dropped significantly
- Day 7: Competitor C visible only 4-5 hours daily
Week 3 Results
Added Competitors A & B targeting:
- Focused on 7 AM - 12 PM (peak inquiry hours)
- Day 4: Competitor B's morning visibility reduced by ~40%
- Day 7: Competitor A showing position 2-3 instead of dominant 1
Week 4 Optimization
Refined thread allocation based on results:
- Reduced threads on eliminated smaller competitors
- Concentrated resources on morning hours for large competitors
- Total threads: 12 (down from peak 14)
The Results
Before Campaign
- Average position: 4.5
- Impression share: 35%
- Average CPC: $52
- Daily leads: 3-4
- Cost per lead: $150-175
After 4 Weeks
- Average position: 1.8
- Impression share: 72%
- Average CPC: $38 (27% decrease)
- Daily leads: 7-9
- Cost per lead: $85-95
ROI Calculation
Investment:- Google Ripple subscription: $299/month (Professional plan)
- 4 weeks of campaign management: included
- Additional leads per month: ~120
- Average job value: $350
- Conversion rate: 35%
- Additional revenue: ~$14,700/month
- Net ROI: 4,800%+
Key Success Factors
1. Phased Approach
Starting with weaker competitors built momentum and freed resources for larger targets. Trying to fight everyone simultaneously would have spread efforts too thin.
2. Strategic Timing
Focusing on peak business hours maximized impact. Competitors' ads showing at midnight didn't matter—morning visibility drove conversions.
3. Continuous Monitoring
Weekly analysis allowed resource reallocation. When smaller competitors stopped advertising entirely, those threads shifted to larger targets.
4. Realistic Expectations
The goal was never to completely eliminate large competitors—just reduce their dominance enough to compete effectively.
Long-Term Outlook
Three months post-campaign:
- Metro Plumbing maintains position 1-2
- Two smaller competitors have stopped advertising entirely
- Competitor C reduced their budget significantly
- Large competitors remain but with diminished dominance
Lessons Learned
What Worked
- Tiered targeting based on competitor vulnerability
- Concentration on peak conversion hours
- Patient, phased approach
- Continuous optimization based on results
What We'd Do Differently
- Start with slightly more threads on Competitor C earlier
- Implement geographic micro-targeting for specific neighborhoods
- Test weekend vs. weekday thread allocation
Conclusion
This case study demonstrates that strategic competitor targeting can transform a local business's competitive position. Metro Plumbing didn't increase their ad budget significantly—they just leveled the playing field so their quality service could speak for itself.
The key insight: you don't need to outspend competitors. You need to make their spending less effective while maximizing your own visibility.
With the right strategy and tools, David can absolutely compete with Goliath.