Google Ads and SEO Optimization
AD Spent: $28146+
[Last updated: 13/3/2025]

The Challenge: A Campaign Stuck in 2022 & Bleeding Money

Before I stepped in, the client had been running the exact same Google Ads campaign since 2022, leading to:

❌ Outdated Campaign Structure: No segmentation between residential & commercial audiences.
❌ Wasted Budget on Irrelevant Clicks: No negative keywords, meaning ads appeared for irrelevant searches.
❌ Zero Tracking & Analytics:

• Google Ads was not connected to GA4 & GTM—no way to measure real results.
• No conversion tracking for calls, form submissions, or site interactions.
  ❌ No Audience Strategy:
• No retargeting setup to bring back interested users.
• No lookalike audiences to expand reach with high-intent users.
  ❌ Poor Ad Assets & Optimization:
• Ads had limited variations, affecting performance.
• Generic copy & outdated messaging reduced engagement.

The result?
The client was spending money blindly, had no way to track performance, and was losing potential leads to competitors.

The Solution: A Complete Google Ads Rebuild for Maximum Performance

Instead of small tweaks, I took a data-driven approach and rebuilt the campaign from scratch.

✅ Fixed Tracking & Data Insights
🔹 Connected Google Ads with GA4, Google Tag Manager (GTM), and Call Tracking to measure leads effectively.
🔹 Implemented conversion tracking for:

• Phone Calls 📞
• Form Submissions 📝
• Website Engagement 

✅ Restructured Campaign for Higher Relevance & Lower Costs
🔹 Created separate ad groups for residential vs. commercial audiences.
🔹 Optimized keywords to focus on high-intent searches only.
🔹 Added negative keywords to eliminate wasteful clicks.

✅ A/B Testing & Performance Optimization
🔹 Ran A/B tests on:

• Ad copy (powerful CTAs & persuasive messaging).
• Keyword match types (to refine search intent).
• Landing pages (for better conversion rates).
  🔹 Adjusted ad scheduling to target users at the right time of the day.

✅ Audience Targeting & Retargeting Strategy
🔹 Built custom retargeting audiences to bring back high-intent visitors.
🔹 Created lookalike audiences to expand reach & attract more potential leads.

The Results: From Underperforming to Lead-Generating

💰 Daily Ad Budget: $10 - $25
📞 Total Leads Generated: 99
📊 Conversion Rate (After Fixes): 7.10%
🔥 CPL (Cost Per Lead) Decreased while clicks & conversions skyrocketed!

🚀 The client went from running ads blindly to generating consistent, high-quality leads.

🛠 Tools I Used:

🔹 Google Ads – Campaign management & optimization
🔹 Google Keywords Planner/SEMrush/Ahrefs – Keywords Research
🔹 Google Analytics 4 – Data analysis & conversion tracking
🔹 Google Tag Manager – Event tracking & remarketing setup
🔹 Google Data Studio – Custom reporting dashboards
🔹 MS Clarity – Landing page heatmaps & user behavior analysis
🔹 SpyFu – Competitor PPC analysis
🔹 Google Ads Preview Tool – To preview how ads look on Google