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Walled gardens offer valuable opportunities—fast-growing audiences, high engagement, and immersive media environments. But they also present real challenges. Traditionally, brands have had to choose between cost efficiency, media quality, and performance. DV Authentic AdVantage™ eliminates those tradeoffs, empowering advertisers to achieve all their campaign goals—without compromise.
DV Authentic AdVantage combines DV’s protection, verification and optimization capabilities into a unified solution, specifically designed to address the challenges of advertising on walled gardens.
Leverage DV’s automated pre-bid controls to ensure your advertising aligns with brand-safe and suitable content, language preferences, and media quality standards tailored to your brand’s unique settings.
Seamlessly optimize campaign performance with automated bid adjustments and budget allocations, powered by DV Scibids AI™ activation technology.
Authenticate media quality and evaluate campaign success with detailed insights and reporting within DV Pinnacle®, DoubleVerify’s unified service and analytics platform.
Easily deploy and manage DV’s verification and optimization capabilities across walled garden campaigns—all from one place. Gain unified insight into first- and third-party measurement data to enhance transparency, drive performance, and inform future planning strategies.
DV Authentic AdVantage is built on the strength of the DV Media AdVantage Platform (DV MAP), a new framework that lets brands harness the power and synergy of DoubleVerify’s vast capabilities, including core verification, AI-powered optimization, and outcome measurement. DV MAP represents a significant milestone in DV’s evolution, from media verification provider to full-spectrum media effectiveness platform. This transformation meets growing demand for transparency, efficiency, and accountability in digital advertising.
Partnership starts with a conversation. Whether you have a question about our services, or would like to get a demo of our platform, we're happy to connect.