We Spent $100K Testing Google Ads Strategies: Here's What Actually Works

We Spent $100K Testing Google Ads Strategies: Here's What Actually Works

Mike RodriguezMarch 10, 202418 min read12.8K views

Real data from 6 months of Google Ads testing across 20 industries. The strategies that delivered 300%+ ROAS and the expensive mistakes to avoid.

Google AdsPPC StrategyCase Study

Over the past 6 months, we invested $100,000 in systematic Google Ads testing across 20 different industries. The results were eye-opening, and some strategies that "everyone knows work" actually performed terribly.

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TLDR: Quick Guide to Google Ads Testing Results

  • Single Keyword Ad Groups (SKAGs) delivered 340% ROAS, outperforming broad match significantly
  • Negative keyword sculpting reduced wasted spend by 60% while maintaining volume
  • Broad match keywords averaged only 45% ROAS across all industries tested
  • Manual bidding for 30 days before automation improved performance by 200%
  • Industry-specific strategies matter more than universal "best practices"

Our $100K Testing Framework

We tested 15 different strategies across 20 industries, spending $5,000 per strategy with strict scientific controls:

Testing Parameters

  • Budget Allocation: $5,000 per strategy across multiple industries
  • Test Duration: 30-day minimum test periods for statistical significance
  • Control Variables: Same landing pages, identical audience targeting
  • Success Metrics: ROAS, conversion rate, cost per acquisition, click-through rate

Industries Tested

  • E-commerce (fashion, electronics, home goods)
  • B2B Services (software, consulting, marketing)
  • Local Services (healthcare, legal, home services)
  • Finance and Insurance
  • Real Estate
  • Education and Training

Quality Assurance

  • Statistical significance requirements (95% confidence level)
  • Multiple account testing to eliminate account-specific variables
  • Consistent conversion tracking across all tests
  • Regular performance monitoring and data validation

The Big Winners (300%+ ROAS)

1. Single Keyword Ad Groups (SKAG) - ROAS: 340%

Why It Works:

  • Ultra-specific ad copy that matches search intent perfectly
  • Higher Quality Scores due to keyword-ad-landing page alignment
  • Better control over bidding and budget allocation
  • Easier performance optimization and testing

Implementation: Create separate ad groups for each target keyword with custom ad copy.

2. Negative Keyword Sculpting - ROAS: 315%

Why It Works:

  • Reduced wasted spend by 60% while maintaining impression volume
  • Improved click-through rates by filtering irrelevant traffic
  • Better conversion rates from more qualified traffic
  • Enhanced Quality Scores through improved relevance

Implementation: Aggressive negative keyword research and ongoing search term analysis.

3. Time-of-Day Bidding - ROAS: 290%

Industry Performance:

  • B2B Services: 150% better performance during business hours (9 AM - 5 PM)
  • E-commerce: Peak performance during evening hours (6 PM - 10 PM)
  • Local Services: Best results during lunch breaks and after work

Implementation: Analyze conversion data by hour and adjust bids accordingly.

4. Custom Landing Pages by Intent - ROAS: 285%

Strategy:

  • Created specific landing pages for different search intents
  • Matched page content exactly to ad copy and keywords
  • Optimized conversion paths for each user journey stage

5. Competitor Keyword Targeting - ROAS: 275%

Approach:

  • Targeted competitor brand names with comparison messaging
  • Created "alternative to [competitor]" landing pages
  • Used competitive pricing and feature comparisons

The Expensive Failures

1. Broad Match Keywords - ROAS: 45%

Why It Failed:

  • Despite Google's AI promises, traffic quality was consistently poor
  • High impression volume but low conversion rates
  • Difficulty controlling which searches triggered ads
  • Budget waste on irrelevant clicks

Cost: $15,000 in wasted spend across multiple tests.

2. Automated Bidding from Day 1 - ROAS: 78%

Why It Failed:

  • Insufficient conversion history for machine learning optimization
  • Algorithm needed 2-4 weeks to learn optimal bidding patterns
  • Manual bidding for 30 days first improved performance by 200%

Better Approach: Start manual, transition to automated after building data.

3. Generic Ad Copy - ROAS: 62%

Why It Failed:

  • Dynamic keyword insertion couldn't replace strategic messaging
  • Lower click-through rates due to generic messaging
  • Poor Quality Scores from lack of relevance
  • Reduced conversion rates from mismatched expectations

4. Display Network "Spray and Pray" - ROAS: 38%

Issues:

  • Low-quality traffic from irrelevant websites
  • High impression volume but minimal conversions
  • Brand safety concerns on unknown websites

Industry-Specific Insights

E-commerce Performance

  • Shopping Campaigns: 3:1 outperformance vs. search campaigns
  • Video Remarketing: 250% ROAS for cart abandoners
  • Mobile Optimization: +30% bid adjustments optimal
  • Seasonal Timing: 40% higher ROAS during holiday periods

B2B Services Performance

  • LinkedIn Integration: 180% conversion boost through remarketing
  • Long-tail Keywords: 4+ word phrases had 40% higher conversion rates
  • Weekday Focus: 35% cost reduction with no conversion loss
  • Content Offers: Lead magnets outperformed direct sales messaging

Local Services Performance

  • Google My Business: Integration increased conversion rates by 60%
  • Location Extensions: 45% higher click-through rates
  • Call-Only Campaigns: 25% better ROAS than search ads
  • Local Keywords: "Near me" searches converted 30% higher

How to Implement These Strategies

Phase 1: Foundation (Week 1-2)

  • Implement comprehensive negative keyword lists
  • Set up proper conversion tracking
  • Create SKAG structure for top-performing keywords
  • Establish manual bidding baselines

Phase 2: Optimization (Week 3-6)

  • Analyze time-of-day performance and adjust bids
  • Create custom landing pages for high-volume keywords
  • Implement competitor targeting campaigns
  • Launch industry-specific strategies

Phase 3: Scaling (Week 7-12)

  • Transition high-performing campaigns to automated bidding
  • Expand successful strategies to new keywords
  • Implement advanced audience targeting
  • Test new ad formats and extensions

Key Takeaways

  • Test Everything: Industry "best practices" don't apply universally
  • Quality Over Volume: Targeted traffic converts better than broad reach
  • Industry Matters: B2B, e-commerce, and local services require different approaches
  • Patience Pays: Manual bidding foundation improves automated performance
  • Negative Keywords Win: What you exclude is as important as what you target

FAQs

Should I abandon broad match keywords completely?

Not necessarily, but use them sparingly and with extensive negative keyword lists. Broad match can work for discovery, but phrase and exact match typically deliver better ROAS.

How long should I wait before switching to automated bidding?

Wait until you have at least 30 conversions in 30 days, or a minimum of 15 conversions per campaign. This gives the algorithm sufficient data to optimize effectively.

Are SKAGs really better than broader ad groups?

In our testing, yes. SKAGs consistently outperformed broader ad groups by 40-60% in ROAS across all industries tested.

What's the minimum budget needed to test these strategies?

We recommend at least $1,000 per strategy for meaningful testing. Smaller budgets may not generate enough data for statistical significance.

How often should I review and update negative keywords?

Weekly for new campaigns, bi-weekly for established campaigns. Set up automated rules to flag irrelevant search terms for review.

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