"When I joined DigitalOcean in October 2025, I saw immediately that we had real potential to grow our business impact. Partnering with AdConversion, we were able to move quickly and focus our paid program on the audiences most likely to build on DigitalOcean's AI-Native Inference Cloud, driving a 57% QoQ growth in engaged accounts and meaningful efficiency gains in the process."

Federico Gobbi

Head of Paid at DigitalOcean

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About

DigitalOcean's AI-Native  Cloud is a fully integrated platform purpose-built for AI founders and AI-native companies building, scaling, and operating intelligent applications and agentic systems.

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Challenge

DigitalOcean wanted to improve efficiency and audience quality in their Google Ads program while continuing to grow.

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The account had scaled significantly over time, with 400+ campaigns running across 2025, broad keyword coverage, and wide country targeting. To better focus investment and improve data signal quality within Google Ads, DigitalOcean partnered with AdConversion to help simplify the structure and concentrate spend on the audiences most likely to build and scale on its AI-Native  Cloud.

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Solution

AdConversion worked alongside DigitalOcean's marketing team to run a full account diagnostic and collaboratively redesign the campaign structure around efficiency and scale.

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Key actions included:

• Reduced campaign volume by roughly 75% to simplify management and strengthen data signals within Google Ads
• Removed redundant and lower-priority keywords to sharpen keyword structure and capture higher-intent search demand
• Refined country targeting to concentrate spend in markets with stronger conversion performance
• Increased impression share in priority regions
• Optimized bidding and campaign coverage to prioritize engagement and signup quality

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These changes helped shift the account toward a more focused, performance-driven search program.

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Results

After restructuring the account and consolidating spend into top-performing campaigns and markets, Q1 showed a clear improvement in both volume and quality.

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By tightening targeting, simplifying structure, and aligning traffic with higher-intent conversion paths, DigitalOcean was able to scale more efficiently without necessarily increasing spend.

• Sign-up volume increased approximately 15% QoQ — and more importantly, quality improved alongside it.
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• The most meaningful signal from this work was an estimated 57% QoQ growth in engaged accounts. These aren't just signups, they include AI founders, developers, and early-stage companies who moved from discovery to actively building on the platform. Growing this segment faster than overall signup volume confirmed the program was reaching the right audience. This aligns with the product-market fit story for DigitalOcean's AI-Native Cloud, reflected in paid performance.
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• This is also reflected in conversion efficiency. The Signup → Engaged rate increased from ~24% in Q4 to ~33% in Q1, reinforcing that traffic entering the funnel was more qualified and more likely to activate.
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• Despite a 13% reduction in spend, ROAS improved by roughly 69% — a strong indicator that the structural and targeting changes meaningfully improved how efficiently the program was operating.