A leading wireless carrier came to IBM Watson Advertising with the goal of driving a lower CPA. 

IBM Watson Advertising's IBM Bidding Optimization technology solution leverages deep learning with neural networks to optimize bidding based on desired outcomes. It can be used in concert with a brand or agency’s own stack and solves for the fact that today’s solutions still require a high degree of manual optimization.


Leveraging IBM Bidding Optimization across 2 campaigns, the leading wireless carrier saw a 33% savings in their first campaign, and an overall savings of 60% across their second campaign.

Focus Area

  • AI/Watson