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Performance-Driven CGI: A/B Testing & Ad Variations
Developing a suite of renders across diverse locations and trending Pantone palettes to stress-test advertising hypotheses. This approach empowers clients to identify high-performing creatives and scale campaigns with the best ROI, significantly optimizing their marketing spend.
This case study is a prime example of how 3D visualization functions as a strategic tool to lower Customer Acquisition Cost (CAC). Instead of guessing which ad creative might resonate with the target audience, we built a foundation for data-driven testing: a single armchair rendered in three fundamentally different contexts. We designed a cozy private home setting to evoke warmth, a high-rise corner view for those who embrace a fast-paced modern lifestyle, and an opulent classic interior tailored for the premium segment.

To fine-tune these campaigns, we further adapted the visuals to match trending color palettes (Pantone Botanical Garden, Mocha Mousse, and Biking Red). This enabled the client to launch five parallel ad campaigns, each utilizing distinct visual triggers. With these variations in play, marketers can identify the ads with the strongest CPC and ROI within a week, allowing them to funnel the entire budget into the top-performing assets.

The result isn’t just a set of images—it’s a comprehensive system for marketing budget optimization. We provided the client with the means to scale only what actually converts, preventing "budget bleed" on unproven hypotheses. This is a pragmatic, performance-driven approach to content that gives furniture brands a competitive edge and boosts profitability through measurable data.
Client: idealbeds.ru
Completion time: 7 days
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