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CMO Brief: 2019 Organizational Benchmark Survey, The Advertiser Report

Advertising and market research have seen significant changes in the last couple of years. ARF members have been inquiring about different aspects of these changes. To answer their questions, the ARF Analytics Council developed the very first Organizational Benchmark Survey of the industry. The aim was to see how companies collect research data, what departments conduct research, how they organize around research and data, and, if small advertisers differ from large ones. Read more.

KaH: The 2019 Organizational Benchmark Survey, The Advertiser Report

Advertising and market research have seen tremendous changes in the last couple of years. As a result, ARF members have been inquiring about different aspects of these changes, from what to call their departments to what tools and techniques are considered best practices. For instance, should it be called a “research department,” “data science” or “customer experience” department? Is it better to have a centralized or decentralized structure? Do such departments provide positive ROI, according to stakeholders? And should they use R, Python, SPSS or SAS?  Read more.

The Future of Media Demands Radical Change

Most magazines and newspapers (shockingly, not all) have launched online, in one form or another, but far fewer have figured out a way to get people to consistently pay for or read stories and visual content that used to drive newsstand sales, print subscriptions and advertising, all of which have been squeezed over at least the last decade. Publishers of magazines and newspapers seem focused on how to carry on with all of those things instead of testing entirely new ways of delivering and paying for content.
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Get the Intel on Artificial Intelligence

Some say Artificial Intelligence is a broad field that includes everything from simple if-then rules for playing Checkers to complex ensembles of deep neural networks for piloting autonomous vehicles. In marketing, AI is a term that is applied to several very different techniques and functions. However, the bigger questions are: how do you best implement AI and what are the commercial solutions?  Read More.

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