Viant AI: The First Fully Autonomous Ad Platform for the Open Internet
How Viant AI Transforms Your Campaigns
Planning
Bidding Measurement Outcomes
A SMARTER COPILOT FOR TAILORED OMNICHANNEL CAMPAIGNS
Uncover new strategies based on your specific goals and accelerate decision-making.
ACHIEVE LOWER eCPMS AND GREATER ROAS WITH AUTOMATED BID ADJUSTMENTS
Advertisers who use AI Bid Optimizer see up to 42% lower CPMs.
KNOW WHAT IS AND ISN'T WORKING, INSTANTLY
Detect performance trends along with actionable recommendations on creatives, publishers, and budgets.
CAMPAIGN EXECUTION ON AUTOPILOT
Drive performance without the busywork. ViantAI autonomously adapts, scales, and executes campaigns across the open internet.
Reclaim your time for strategy
Stop managing hundreds of campaign tasks and start focusing on the ideas that grow your business.
AI Decisioning automates planning, execution, measurement, and optimization in real time. This allows your team to shift from trafficking to strategy.
Scale performance without the overhead
Achieve enterprise-level precision and scale your results with more efficient teams and smarter workflows.
ViantAI uses machine learning trained on years of DSP campaign data to make decisions that optimize reach, spend, and ROAS at scale.
Achieve the best outcomes with 100% unbiased decisions
As an independent DSP, our AI chooses top performing supply instead of steering spend toward a DSP’s owned & operated properties.
Viant’s Intelligence Layer is built on our Household ID technology, IRIS_ID, supply quality program, and machine learning optimization models, giving ViantAI the foundation to maximize campaign performance.
Proven performance, powered by AI
Two x Four
"ViantAI has allowed our trading team to create data-informed omnichannel media plans in minutes, rather than days. The team can get an understanding of the optimal mix between programmatic channels, taking into account target reach and availability within the desired market. ViantAI even gives insight into optimal dayparts and days-of-week for media flighting purposes to reach our specific client goals. With ViantAI, the team spends less time on execution-based tasks and can spend more time on client insights and optimization recommendations.” _ Jessica Romaniuk, President Two x Four_
Rise
“ViantAI has been a huge value-add, helping us uncover new opportunities and build smarter, more integrated media plans with speed and precision across both new business opportunities and current account strategies.” _ Klaudia Smykowska, Group Director, Rise_
Icon Media Direct
“ViantAI empowers my trading team to operate at peak efficiency. What used to take days now takes minutes—leveraging a powerful AI Planning engine that creates fully integrated media plans that can easily be activated in the DSP with the push of a button. It’s like having a media strategist, programmatic trader, and data analyst all in one. ViantAI isn’t just making us faster—it’s setting the pace for where the industry is headed.” _ Don Cowser, Media Director at Icon Media Direct_
AI innovations FAQ
How is AI used in programmatic advertising?
Artificial intelligence plays a crucial role in programmatic advertising by optimizing ad placements and targeting. It utilizes algorithms to analyze vast amounts of data, including user behavior, demographics and browsing history, to predict which ads are most likely to resonate with specific audiences. AI also automates the buying and selling of ad space in real-time auctions, making split-second decisions to bid on impressions that align with advertiser goals. This enables advertisers to reach their target audience more effectively and efficiently, ultimately improving campaign performance and ROI.
What are the benefits of AI in programmatic advertising?
Using artificial intelligence in programmatic advertising offers numerous benefits. Firstly, AI optimizes ad targeting by analyzing large datasets, enabling advertisers to reach their desired audience with precision. It enhances campaign performance by making real-time decisions on bidding and ad placements, maximizing the likelihood of engagement and conversion. Additionally, AI-driven automation reduces manual effort, saving time and resources for advertisers and publishers alike. Overall, AI improves the efficiency and effectiveness of programmatic advertising, leading to better ROI and more successful campaigns.
How can AI make marketing operations more efficient?
Artificial intelligence enhances the efficiency of programmatic advertising by automating various tasks and optimizing campaign performance. AI algorithms analyze vast amounts of data in real-time, allowing for precise audience targeting and personalized ad placements. By automating the bidding process and adjusting strategies on the fly, AI ensures that advertisers can make the most of their budget, maximizing ROI. Furthermore, AI-driven optimization reduces the need for manual intervention, saving time and resources while continuously improving campaign outcomes. This increased efficiency enables advertisers to reach their goals more effectively and drive better results in programmatic advertising campaigns.
How can AI improve personalized experiences?
Artificial intelligence (AI) can significantly enhance programmatic advertising campaigns by making them more personalized. AI algorithms analyze vast amounts of data, including user behavior, demographics, and preferences, to create detailed profiles of individual consumers. This data enables advertisers to tailor their campaigns with precision, delivering relevant ads to the right audience at the right time. AI-powered recommendation engines can suggest personalized content and products based on users' interests, increasing engagement and conversion rates. Moreover, AI enables real-time optimization of ad placements, adjusting bids and targeting parameters to maximize effectiveness. By harnessing AI, programmatic advertising becomes more than just targeting specific demographics; it becomes a dynamic and personalized experience for each consumer, driving better results for advertisers.
How is the effectiveness of AI advertising measured?
The effectiveness of artificial intelligence in programmatic advertising is typically measured through key performance indicators (KPIs) such as click-through rates (CTR), conversion rates, return on ad spend (ROAS), and cost per acquisition (CPA). AI algorithms continuously optimize campaigns to improve these metrics, ensuring that ads reach the right audience at the right time with the right message. Additionally, AI can track engagement metrics like time spent on site or interactions with the ad to gauge user interest and effectiveness. Furthermore, advanced analytics tools can provide insights into audience segmentation, ad creative performance, and campaign attribution, offering a comprehensive view of how AI-driven strategies impact overall advertising goals.
How is AI in advertising different from automated digital advertising?
AI in programmatic advertising goes beyond automated digital advertising by leveraging advanced algorithms to analyze vast amounts of data in real-time, enabling precise audience targeting and personalized ad placements. While both utilize automation, AI-driven programmatic advertising continuously optimizes campaigns based on data insights, adjusting bidding strategies and ad creatives to improve performance and ROI. It involves machine learning techniques to understand user behavior and preferences, making dynamic decisions to maximize advertising effectiveness. In contrast, automated digital advertising typically relies on predefined rules and parameters for ad placements and bidding, lacking the adaptability and sophistication of AI-driven optimization in programmatic advertising.