Data

Neuromarketing

What Marketers Need to Know About Neuromarketing

Author:  Kaya Ismail with Jessica Hawthorne Original Publication: CMSWire  Date Published: September 25, 2018 Personalization is now a fundamental feature of any good customer experience. For instance, 84 percent of customers say being treated like a person, not a number, is very important to winning their business. In other words, customers expect brands to remember their

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“If You’re Looking For A Job In Advertising, Strive To Combine Your Right Brain Creativity With Left Brain Data”

By Jessica Hawthorne  Original Publication: Howigotjob.com Date of Publication: September 24, 2018 Why Did You Seek Out A Career In The Advertising Industry? Patience has never been my strong suit, so finding a career that allows me to see immediate results was a natural fit for me. Advertising provides the best of both worlds –

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Jessica Hawthorne

How Agencies Can Help Prepare The Next Generation Of Data-Driven Marketers

By Jessica Hawthorne  Original Publication: AdExchanger Date of Publication: September 20, 2018 “Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Jessica Hawthorne, CEO at Hawthorne. The rise of data science has had a major impact on just about every

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Four Best Practices For Successful, Responsive Media Campaigns

Four Best Practices For Successful, Responsive Media Campaigns

Author: Jessica Hawthorne for Forbes Agency Council Original Publication: Forbes Date Published: September 12, 2018 It’s getting harder for brand advertisers to earn market share with traditional media approaches. At the same time, targeting consumers and business-to-business customers can also be difficult. What’s needed is accountable media that scales to the client’s needs, uses data-driven campaigns, capitalizes

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Jessica Hawthorne

Opinion Improving marketing ROI with data analytics

 Author: Jessica Hawthorne, CEO Original Publication: Information Management Organizations are increasingly adopting big data analytics to understand and then fix business problems. They’re learning how to extract value from multi-sourced information and then relate that information to an issue in their marketing, manufacturing, advertising, or shipping, etc. For example, T-Mobile (and the other main carriers)

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