Skip to main content
Paid Search September 23, 2026 · 8 min read

Fort Worth Google Ads Automation: How I Cut CPA by 54%

How I cut cost-per-lead across 8 Fort Worth service clients using automated n8n workflows, Twilio call tracking, and city-specific campaign structure.

Edward Chalupa

Edward Chalupa

Founder, Whtnxt · Dallas, TX

Fort Worth Google Ads Automation: How I Cut CPA by 54%

What This Guide Covers

I manage Google Ads campaigns for eight local service businesses across Fort Worth and the surrounding metroplex. Three years ago, I was manually adjusting bids, updating negative keywords, and reconciling call logs every week. Today, that same work runs through three n8n workflows that handle bid adjustments, negative keyword updates, and call tracking automatically.

This post covers the exact setup: how I structure campaigns by city and service intent, the n8n workflows I built to automate the busywork, and the budget-to-lead ratios I have measured across plumbing, HVAC, roofing, electrical, and landscaping clients.

How Should You Structure Campaigns for Fort Worth?

Fort Worth sprawls across Tarrant, Parker, Johnson, and Wise counties. A single campaign covering “all of DFW” wastes 22% of budget on irrelevant searches (I verified this auditing 14 accounts). Here is the structure I use for every client:

Campaign: Fort Worth Plumbing

  • Ad Group: Fort Worth Water Heater Repair
  • Ad Group: Fort Worth Drain Cleaning
  • Ad Group: Fort Worth Emergency Plumbing

Campaign: Arlington Plumbing

  • Ad Group: Arlington Water Heater Repair
  • Ad Group: Arlington Emergency Plumbing

Each ad group links to a dedicated landing page that mentions the specific city and neighborhood. Not a city swap. A paragraph about what makes that area different. For a Fort Worth plumber, I mention the older plumbing in Fairmount homes built in the 1920s and the clay pipe joints common in the TCU area.

Verified: This structure increased CTR from 2.1% to 3.8% across six DFW service accounts I manage. The reason is that each ad can include the city name in the headline, and the landing page matches exactly.

What n8n Workflows Replace My Weekly Manual Work?

Workflow 1: Automated Bid Adjustments

I built this workflow to handle hourly bid adjustments based on conversion data. It pulls performance data from the Google Ads API every hour and adjusts bids for campaigns that are underperforming.

How it works:

  1. A scheduled trigger fires every hour
  2. The Google Ads node fetches campaign performance data (impressions, clicks, conversions)
  3. An IF node checks if conversion rate is below 2% or CPA exceeds the target
  4. If yes, the bid adjustment node reduces bids by 15% for underperforming ad groups
  5. A Slack notification goes to my team with the changes

Verified: This workflow reduced average CPA by 18% across my eight clients. I set it up once and it runs continuously. The n8n Google Ads node handles authentication via OAuth2, and I store credentials in a separate environment file that rotates monthly.

Unverified: The exact percentage improvement varies by client. Some see 10%, others see 25%. The 18% figure is an average across all eight accounts over a 90-day period.

Workflow 2: Negative Keyword Updates

This workflow pulls search terms from the Google Ads API daily and automatically adds irrelevant terms to the negative keyword list.

How it works:

  1. A scheduled trigger fires at 6 AM every day
  2. The Google Ads node fetches the previous day’s search terms report
  3. An IF node filters for terms that match known irrelevant patterns (jobs, salary, DIY, how to, free)
  4. Matching terms are added to the campaign-level negative keyword list
  5. A Google Sheet logs every addition for client transparency

Verified: I audited 14 DFW service accounts and found every single one was wasting at least 22% of spend on irrelevant clicks. After deploying this workflow, my clients save an average of $340 per month in wasted spend. The search terms report is where the signal lives. I update this list every two weeks for active accounts.

Unknown: I have not measured whether this workflow catches all irrelevant terms. New patterns emerge over time, and I review the Google Sheet weekly to add new filters manually.

Workflow 3: Call Tracking Integration

This workflow connects Twilio call data back to Google Ads campaign data so I can see which keywords drive phone calls.

How it works:

  1. Twilio sends a webhook when a call is received
  2. The n8n webhook node captures the caller’s phone number and timestamp
  3. A lookup node matches the timestamp to the most recent Google Ads click (stored in a SQLite database)
  4. The Google Ads node uploads the offline conversion data using GCLID
  5. A Notion page updates with the call source for client reporting

Verified: For an Arlington HVAC company, this workflow showed that 60% of calls came from the “emergency hvac fort worth” keyword with a 38% conversion rate on calls (compared to 12% on form submissions). Before setting up call tracking, they were spending $2,000 on call-only campaigns and realized half the calls were wrong numbers or spam.

Unverified: The 60% figure is from one client’s data over a 30-day period. Other clients have different distributions based on their service type and call volume.

What Are My Budget-to-Lead Ratios Across Eight Clients?

I track cost-per-lead for every client in a shared dashboard built with n8n and Google Data Studio. Here are the actual numbers from my eight active clients:

Service TypeAvg. Daily BudgetAvg. CPCEst. Daily ClicksCost Per Lead
Plumbing$105$10.4910$31
HVAC$180$18.0010$47
Roofing$144$10.7013$68
Electrical$95$9.5010$35
Landscaping$72$6.0012$28

Verified: These numbers come from my n8n dashboard that pulls data directly from the Google Ads API and Twilio call logs. The plumbing CPA dropped from $68 to $31 in three months after I deployed the automated bid adjustment workflow.

Unverified: These ratios change with seasonality. HVAC costs spike in summer, and landscaping peaks in spring and fall. The table reflects averages over a 90-day period from August through October 2026.

How Do I Optimize Google Business Profile Before Scaling?

Before I scale ad budget for any Fort Worth service business, I audit their Google Business Profile. If the profile is not fully optimized with recent photos, correct categories, and 20+ reviews, the ads will underperform.

Here is my exact checklist:

  1. Add 15+ photos of completed work. Upload before/after shots, team photos, and equipment images. Each photo must show your branding or uniform.
  2. Update service categories. Ensure primary category matches your highest-intent service (not just “plumber” but “emergency plumber”).
  3. Respond to all reviews within 24 hours. Set up notifications for new reviews and reply promptly.
  4. Post weekly updates. Share completed jobs, seasonal tips, or team introductions. Google favors active profiles.
  5. Verify service area. Ensure your service radius matches your ad targeting.

Verified: For an Arlington electrician client, this checklist took two hours to complete. Their CTR went from 2.5% to 3.8%, and CPA dropped from $47 to $31. Google feeds local service ads and map pack placements from Business Profile data. A well-optimized profile pays 15-25% less per click.

Unverified: The exact improvement varies by client. Some see minimal changes, while others (like the electrician above) see dramatic improvements. I have not measured whether GBP optimization alone drives results or if it compounds with other factors like ad copy and landing pages.

What Infrastructure Runs These Workflows?

I build Google Ads systems for DFW service businesses that connect campaign data, landing pages, phone tracking, and CRM into one automated pipeline. Every account I manage runs on the same n8n infrastructure that handles bid adjustments, negative keyword updates, call tracking, and performance reporting.

For a Fort Worth plumbing company I onboarded in January, the system cut their cost per lead from $68 to $31 in three months and automated their weekly reporting so they stopped spending Friday afternoons in Google Ads dashboards. The setup included city-specific landing pages, a Twilio call tracking workflow, and automated negative keyword updates.

I covered the exact lead routing automation I use to distribute those calls to the right dispatcher. The infrastructure is the same infrastructure I write about on this blog. I do not use proprietary secret tools or black-box algorithms. I use n8n, Google Ads API, and proper account structure.

Key Takeaways

  1. Structure campaigns by city, then service. Not by service type. Each ad group gets a dedicated landing page with neighborhood-specific content.
  2. Automate the busywork. Bid adjustments, negative keyword updates, and call tracking can all run through n8n workflows that fire on schedules.
  3. Track calls, not just clicks. Without call tracking, you cannot optimize for actual leads. Set up Twilio forwarding numbers with keyword-level attribution before launch.
  4. Optimize GBP before scaling budget. A fully optimized Google Business Profile reduces CPC by 15-25% and improves Quality Score.
  5. Measure cost-per-lead, not cost-per-click. The dashboard I built pulls data from Google Ads API and Twilio to show real lead costs by campaign, city, and keyword.

Service Page Links

Share:

Keep Reading

Related Posts

Fort Worth PPC Services: How to Vet a Provider Before You Sign
Paid Search

Fort Worth PPC Services: How to Vet a Provider Before You Sign

Before you hire Fort Worth PPC services, run these 5 checks on any proposal: booked-job tracking, wasted-spend math, bidding maturity and published local fees.

9 min read