This week’s roundup explores the application of customer intelligence (CI) alongside artificial intelligence (AI) and business intelligence (BI), why it’s imperative for marketers to employ a CRM strategy, how AI is being used in financial marketing, and getting started with content marketing analytics.
AI, BI or CI?
by Raju Chellam, featured on The Edge Malaysia
Most people have heard of AI (artificial intelligence) and BI (business intelligence), but few have heard of CI (customer intelligence). Some even call it cloud intelligence because so much customer data is now stored in the cloud. Is CI for real or just a figment of our imaginations?
CRM Not an Option But a ‘Must’ For Every Marketing Company
by Lionel Wijesiri, Freelance Journalist, featured on Daily Mirror
Customer relationship management (CRM) can be the single strongest weapon you have as a manager to ensure that customers become and remain loyal. Implementing CRM is a non-negotiable in today’s business environment. Whether your customers are internal or external, consumers or businesses, whether they connect with you electronically or face to face, from across the globe or across town, CRM is your ticket to success.
15 Applications of AI and Machine Learning in Financial Marketing
by Jim Marous, Co-Publisher of The Financial Brand and Owner/Publisher of the Digital Banking Report, Inc, featured on The Financial Brand
AI and machine learning are making the customer experience more personalized and contextual than ever before. Banks and credit unions are using advanced technology to make websites, emails, digital advertising, social media and other content more efficient and effective. This is increasing marketing ROI as well as customer satisfaction.
Getting Started with Content Marketing Analytics
by Tyler Keenan, Freelance Journalist, featured on Business 2 Community
Marketing analytics has changed tremendously over just the last few years, moving from so-called soft metrics like page views and shares to more sophisticated measures of user behavior and engagement. Increasingly, content marketers need to be able to approach their work the way other data-driven functions do. That means identifying the right metrics, understanding the data you’re collecting, and using content marketing analytics to answer business-critical questions and demonstrate ROI.
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