In this Marketing Over Coffee:
Learn about Applying Machine Learning Real Time, Serving Customers and Questioning Our Humanity

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Brought to you by our sponsors: Criteo and StackAdapt

Vitaly Pecherskiy is Co-Founder and COO of Stack Adapt

Started out with AdParlor

The browsing behavior of over 600 million people – seeing what influences them pre-purchase

10 Billion Data Points Every Day, how are they different from a Demand Side Platform (DSP)?

Questions to test your sanity: What if Siri had a human face? When is it ethically wrong to turn a computer off?

This episode is brought to you by Criteo Sponsored Products. Criteo integrates with the world’s largest retailers such as Walmart, Best Buy, and Target to provide real-time targeting of high-intent shoppers. Dramatically increase traffic to your products on the retailers where you sell. Native advertising for retail means a seamless way to drive shoppers to product detail pages. With access to retailer SKU-level data, Criteo closes the loop and gives you the confidence to reinvest in winning strategies.

Getting started is easy, just email today and they’ll help you kick off your winning campaign in minutes.

System for experts vs. Expert systems

In today’s episode, we are focusing on the importance of data in today’s digital advertising world and the different implications it may bring. On that note, if you, as a marketer, are worried about transparency and brand safety in today’s convoluted digital advertising world, check out StackAdapt. StackAdapt is an advertising platform that offers complete transparency in their inventory and audience data so marketers can have full trust in where their campaigns are running. StackAdapt just recently unveiled that they have received the highest score by G2 Crowd in customer satisfaction amongst all their competitors for the third-time. Clearly, marketers are achieving their campaign goals using StackAdapt. Visit today to request an invite.

Does it even matter what the algorithm is?

Ultimately it’s about results and serving the customer, how it works is irrelevant

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