It's Friday, and it's time for us to share what we've been reading online this week. Here are our "best" from around the web.
1. Why Your Sales Team Needs to Sit Next to Marketing — Salesforce
Sales and Marketing serve a shared purpose: to identify, attract, and close business for the company. But far too often, these teams find themselves acting out a typical “Dilbert” comic script of blame and frustration during slow sales cycles. Fortunately, it’s possible to bring these two groups to the same table to work off of the same script and dramatically improve performance across almost every worthwhile metric. Here's how.
2. 5 Ways to Kickstart Your Email Marketing in 2016 — Adobe Digital Marketing
Email remains a centerpiece of effective campaigns and a powerful way to nurture customer relationships. In 2016, dust off your email marketing methods, and get email working for you. This post offers five resolutions you can make to ramp up your email programs and engage prospects and customers in 2016.
3. 16 Common-Sense Reminders for Uncommonly Good Content — Content Marketing Institute
In this article, 16 experts presenting at the Intelligent Content Conference this March offer their common-sense reminders of things you can do to create uncommonly good content.
4. How to Solve the Mystery of What Your Customers Really Want — AdAge
A recent study from Aberdeen Group found that just 4% of organizations are fully satisfied with their ability to ensure data-driven conversations with their customers. That's a shockingly small number. And it's also a huge problem, especially in today's customer-first culture. Data-driven insights are the key to increasing customer satisfaction. This article explains how to learn what your customers really want.
5. The Rise of Data-Driven Decision Making Is Real but Uneven — HBR
What do you base your decisions on? Real data or intuition? Growing opportunities to collect and leverage digital information have led many managers to change how they make decisions – relying less on intuition and more on data. This post looks at four factors that are driving data-driven decision-making.