Digital marketing and advertising technologies enable data-driven customer journeys to delights existing and potential customers across digital touch points and help digital enterprises with improving customer experience and developing data-driven monetization opportunities.”
— Ashish Patel

The line between linear TV and online is blurring. The traditional panel based reach and frequency measurement on linear TV is evolving into 1st party customer data infused measurement, due to proliferation of OTT offerings and set top boxes. Although today the ad spending on addressable TV advertising is under 5% of digital advertising, due to OTT and TV Everywhere offering this has the potential to be significant. Addressable TV advertising offers networks and content distributors a unique opportunity to collaborate and build a differentiated front for advertising where historically Google and Facebook have struggled to build business.

Come join us for Ad Tech council that would discuss the opportunities in the addressable TV advertising, initiatives by programming networks as well as distributors around data partnerships, and solutions that offer customer consent enabled data sharing.

 
 

Council lead

Ashish Patel_bw.jpg

Ashish Patel

Ashish is a seasoned leader focused on launching products in strategic and growth areas for large organizations. Ashish works on bridging the technology and service innovation gaps by actively engaging with the North American startup ecosystem to develop solution stacks for various divisions of Orange. In his previous role, Ashish led advertising technology partnership efforts for Orange Ad Market. In his current role as head of data driven marketing, Ashish is focused on delivering marketing analytics and customer insight solutions to Orange marketing teams.

 
 

Speakers

John Gee

Chief BD Officer, Alphonso.tv
 

Michael Wiley

MD Ventures, Publicis Groupe

Rajan Prajapat

Mobile Advertising Business Development, A9, Amazon

Speaking on
Amazon and state of mobile advertising

 
 

Technologies

  • Machine learning
  • Artificial intelligence

Sample use cases:

  • Developing churn
  • Customer insights analytics for lining up 1st party data strategy

Team is currently working with:

  • Orange Content Divison

 

Back to home