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Budget Fence & Gate Systems

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$316,198 Revenue Generated

Discover how Budget Fence & Gate Systems achieved a 7.32X ROAS and significantly improved lead quality through strategic Google Ads segmentation and targeted optimization.

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The Problem

Budget Fence & Gate Systems, a provider of high-quality fences and gate automation services in South Florida, sought to improve the performance of their digital marketing campaigns. Although they had previously run paid advertising, the results were underwhelming in terms of lead volume and quality. They partnered with Digital Resource to focus on generating leads specifically for their fencing services, targeting both residential and commercial markets.

A Deeper Dive

A closer look at the challenges

Challenge 1

Lack of Campaign Segmentation: Their prior strategy lumped all fencing types into a single campaign, limiting Google Ads' ability to effectively allocate budget and target specific customer segments.

Challenge 2

Inconsistent Lead Quality: The leads generated from past efforts were not converting efficiently, indicating issues with ad targeting and message alignment.

Challenge 3

Underutilized Performance Data: Although some campaign data existed, it had not been leveraged to refine audience targeting or optimize budget allocation.

Challenge 4

Geographic Misalignment: Previous ads were not strategically focused on high-performing locations, missing potential ROI-rich areas.

Challenge 5

Challenge 5

Challenge 5

The Solution

Digital Resource restructured Budget Fence & Gate Systems' Google Ads strategy by segmenting campaigns based on fence types and geographic performance. By analyzing historical data, the team identified high-converting keywords and locations, allowing for better control and allocation of the advertising budget. This targeted approach enabled the client to attract higher-quality leads and improved overall campaign efficiency.

Implementation 1

Step 1

Campaign Restructuring: We separated each type of fence offering into its own ad group and campaign, enabling more precise budget control and performance tracking.

Step 2

Keyword Optimization: We leveraged historical performance data to prioritize high-converting keywords relevant to specific services.

Step 3

Geographic Targeting: We focused efforts on locations with a proven track record of conversions, improving the likelihood of lead success.

Step 4

Continuous Monitoring and Optimization: The campaigns were routinely analyzed and optimized based on real-time data to refine ad copy, bidding strategies, and placement.

Step 5

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Step 9

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Step 10

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Implementation

Step 1

Campaign Restructuring: We separated each type of fence offering into its own ad group and campaign, enabling more precise budget control and performance tracking.

Step 2

Keyword Optimization: We leveraged historical performance data to prioritize high-converting keywords relevant to specific services.

Step 3

Geographic Targeting: We focused efforts on locations with a proven track record of conversions, improving the likelihood of lead success.

Step 4

Continuous Monitoring and Optimization: The campaigns were routinely analyzed and optimized based on real-time data to refine ad copy, bidding strategies, and placement.

Step 5

Step 6

Step 7

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Impact

<span class="impact-span">$316,198.73</span> Revenue Generated

<span class="impact-span">7.32X</span> Return on Ad Spend

<span class="impact-span">64</span> Monthly Leads

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