Uptrix Technologies

AI-Powered Growth

Google Ads • Case Study

Precision PPC & High-Efficiency Search Systems

Rebuilding account bidding logic and automated scripts to maximize ROAS for a competitive fintech portfolio.

ClientCreda Global FinTech
Timeline90-Day Campaign Loop
Core CategoryGoogle Ads
Google Ads performance overview
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1 / 10

4.8X

Purchase ROAS

-38%

Cost Per Lead

$2.4M

Direct Ad Revenue

The Challenge

Excessive ad budget leakage and broad-match inflation drove the client's search acquisition costs to unsustainable peaks. Bidding was manual, slow, and completely disconnected from actual lifetime lead value.

The Strategy

Restructured the bidding funnel from the ground up. Implemented server-side conversion mapping to track closed-won revenue value, feeding deep signal parameters back into Google Ads machine learning models.

Execution & Results

Consolidated redundant campaigns into a smart Search + Performance Max model. Wrote custom negative keyword exclusion scripts running hourly, and deployed landing pages with real-time dynamic text replacement. Dramatically increased campaign efficiency, cutting CPA by more than a third while scaling daily conversions to record highs. Ad budget waste decreased to near zero within the first 30 days.

Key Takeaways

  • Passing closed-won deal values server-side feeds Google's smart bidding precise signal filters.

  • Campaign consolidation decreases search bid dilution and accelerates algorithmic learning.

  • Dynamic text replacement on landing pages maps ad context, improving quality scores and conversion rates.

Additional Campaign Artifacts

Google Ads performance overview
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FinTech bidding automation analytics
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Conversion tracking interface
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Campaign scaling velocity graph
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Search query efficiency chart
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Landing page conversion audit
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Ad copy performance analytics
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PPC search volume capture reports
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Audience segment conversion map
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Attribution model comparisons
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