Case Study: Automated Traffic Curation achieves major impression gains, higher bid rates and lower infrastructure costs with Smaato

Cutting Edge Technology for Optimal Traffic Curation with Smaato

Smaato’s Automated Traffic Curation (ATC) addresses a common programmatic challenge: DSPs and marketers were receiving large volumes of low-value bid requests, driving up infrastructure costs and reducing campaign efficiency. The company needed a way to surface more relevant inventory and improve bid performance without increasing spend.

Smaato deployed ATC, a real-time machine learning tool that scans bidding behavior, applies SDX targeting filters and QPS limits, and filters outgoing bid requests to prioritize high-value traffic. The result: dramatically higher relevance and performance—examples include Marketer A seeing +120% impressions, +230% bid rate and −28% infrastructure cost, and Marketer B seeing +75% impressions, +117% bid rate and −5% infrastructure cost.

Automated Traffic Curation