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MarketingProfs
Jun 17, 2016 Vol. 15, No. 118
In this issue
1. How-To: Three Essential Principles for Talent Sourcing in 2016
2. #SocialSkim: Snapchat Gets Serious About Advertising, Plus 11 More Stories This Week
3.  PRO  [Online Toolkit] Optimize and Maintain Your Email List
4. My View: Predictive Analytics Has a Scaling Problem, and Bad Data Is to Blame
5. Survey Says: The 10 Highest-Rated CEOs by Employees
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How-To
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Three Essential Principles for Talent Sourcing in 2016
By Elissa Barnes
Competition for top-tier talent is always fierce. If you don't know where to look, or if you focus too heavily on traditional methods, you could be losing to the competition. Success will require some trial and error, but you'll be on your way to finding quality talent if you follow these principles. Read More
FOR  PRO  Members
Today's PRO Item
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[Online Toolkit] Optimize and Maintain Your Email List
Creating a plan to manage your email list is difficult. That's why we've pulled together all the steps for building, optimizing, and governing your list so that it aligns with your business objectives. Use our Email List Manager to simplify the process now—and thank us later! Read More
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Survey Says
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The 10 Highest-Rated CEOs by Employees
By Ayaz Nanji
Bain & Company head Bob Bechek has the highest approval rating of any large enterprise CEO, with 99% of his employees saying they like the job he's doing, according to a recent report from Glassdoor. Read More
Quick Take
#SocialSkim: Snapchat Gets Serious About Advertising, Plus 11 More Stories in This Week's Roundup
By Christian Neri
This week's all about ads, ads, and more ads as major social networks introduced new ad products and Snapchat debuted its ad API. Also: Microsoft's purchase of LinkedIn, and Facebook's struggle to stop the livestreaming of crimes and acts of terror. And much more! Read More
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My View
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Predictive Analytics Has a Scaling Problem, and Bad Data Is to Blame
By Justin Gray
Studies claim that predictive analytics is a must-employ tactic. If that's true, then marketers need to understand its scalability limitations and avoid analytics traps. Read More

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