smaato leverage machine
Smaato leverages machine learning to reduce media buying costs
Mobile advertising company Smaato earlier this announced that its machine learning-based Automated Traffic Curation (ATC) product can significantly reduce the costs of programmatic bidding for Demand Side Platforms (DSPs). Header bidding has culminated in an explosion in bid request volume for demand platforms, inundating DSPs with four or five times more bid requests in 2017 than one year ago, notes Smaato. Also called pre-bidding, advance bidding, holistic yield management and tagless integration, you can read more about how header bidding works here. This additional volume creates an enormous strain on infrastructure costs, analytics, bid management, and revenue optimization capabilities causing some companies to simply remove excess requests, rather than properly sort and find the optimal ones for their advertisers. To combat this problem, less relevant inventory is culled by Smaato's ATM product before reaching a demand partner's platform -- saving partners' time and expense in sorting and processing to find the highest value opportunities for advertisers.