Last year, we announced Audience Booster, which is a new performance feature for cost per acquisition (CPA) or ROAS ad groups. Audience Booster automatically optimizes your audience by adding The Trade Desk-modeled Audience Booster segments when it can assist you in achieving your goals.
Bolster performance with Audience Booster.
Automated features that work toward achieving your campaign goals while optimizing budgets and your time
Maximize relevance and performance with multi-element bidding.
Optimize spend toward cord-cutters to drive incremental reach on CTV.
Utilize our AI, Koa™, to optimize for incremental reach.
By prioritizing cord-cutters, you can automate Koa to direct spend toward viewers less likely to be reachable on linear TV. Historically, campaigns utilizing this feature have seen an average of up to 15 percent to 20 percent improvement in incremental reach.*
Maximize DOOH media buying efficiency through cross-channel frequency control and audience reach percentage (ARP) spend optimization.
You can leverage the power of ARP to dynamically automate the allocation of DOOH advertising spend. Our platform continually models the audience index of each DOOH screen based on the specific target audience that you define. This enables the assignment of relevance scores to each screen, providing an ARP score for every screen, at every hour of the day. With this information, our platform can automatically prioritize spend toward the screens with the highest scores — even as these may change by day of week or hour of day — aiming to provide optimal balance between targeting precision and reach for your DOOH advertising campaign.
This is our new decisioning logic, which can offer you a more
cost-effective way to apply the most relevant data to increase the precision of targeting. Our testing has shown that multi-element bidding increases conversion rates by 25 percent to 30 percent
on average.* Instead of looking at a single data segment, multi-element bidding reviews all the available data for an impression to prioritize bidding on the impressions with the most relevant data segments.