Arc XP’s Matt Monahan explains what goes into success with a headless CMS.
A new survey shows organizations are demanding more from their Customer Relationship Management (CRM) investments to meet modern-day…
As with every other aspect of Frictionless Enterprise, digital connection is the fundamental driver of the transformation of…
Integrating Customer Insights to Help Reduce Churn: A Conversation with Christian Wettre of SugarCRM
Change is happening faster. That means customer churn is happening faster if the organization is not prepared for that. So, speed kills unless you're prepared for it.
In this Conversation with TheCustomer, Devon Wylie and I sit down with Sue Lee, Executive Director, Corporate CRM & Consumer Analytics for North America at Estee Lauder.
K-means clustering is an unsupervised machine learning algorithm. Unsupervised algorithms don’t have a ground truth value or labeled data to assess their performance against. The idea behind k-means clustering is very simple: Arrange the data into clusters that are more similar.
Tom Kuypers, Senior Vice President of Marketing & Advertising at Ollies Bargain Outlet has a unique perspective on those issues because he and his team have, at the time of this writing, already re-opened all of their 360 stores across the U.S.
CRM can be a VERY expensive proposition. TrinityP3's Anton Buchner does some cost calculations to help marketers stop 'flushing money down the toilet'.
Last week marked the first volley in what looks to be more than a minor skirmish with the announcement of an anti-crm coalition.
Few things are as frustrating as going through the expensive, time-consuming process of implementing a new customer relationship management (CRM) system, only to see it fail.