Case Study: Marketer A boosts impressions and bid rates with Smaato Automated Traffic Curation

Marketer A boosts impressions 120% with Smaato

Smaato's customer, a marketer referred to as Marketer A, faced the common programmatic advertising challenges of managing infrastructure costs and accessing high-value, relevant traffic efficiently. Their need was to optimize bidding behavior and filter out less-desirable inventory to improve campaign return on investment.

Smaato implemented its Automated Traffic Curation (ATC) tool for this marketer on March 4, 2021. This machine learning solution continuously scans and curates bid requests in real time, applying the marketer's targeting parameters to streamline traffic. The results were immediate and significant: Smaato helped Marketer A achieve a 120% increase in average monthly impressions while simultaneously reducing bid requests by 28%, lowering costs. Furthermore, by receiving more relevant traffic, their bid rate soared by 230%.