IBM Watson Marketing Releases 2019 Marketing Trends Report

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According to a recent press release, “With artificial intelligence (AI) continuing to gain usage among marketing professionals, IBM today announced a new report from IBM Watson Marketing identifying a new breed of marketers coming to the forefront. Driven by a growing need to meaningfully structure data to enable actionable, real-time decision making IBM’s 2019 Marketing Trends Report provides practical insights for businesses to stay ahead of the forces driving these changes. ‘It’s not often an entire profession experiences a sea change the likes of which has profoundly impacted all facets of marketing, but we are in that moment,’ said Sylvia Vaquer, Co-Founder & Chief Creative Officer, SocioFabrica. ‘This transformation fueled by AI-powered inferential connections provides a rare opportunity to rearchitect the whole ‘marketing house,’ but it’s critical to have practical knowledge to capitalize on it’.”

The release continues, “The report’s findings provide deep insights into how CMOs and digital agencies are reimagining the marketing function with the following overview giving a blueprint for what it will look like in 2019 and beyond: (1) In The Emotion Economy, Purpose Creates Brand Loyalty – More than ever, consumers are more likely to engage with brands that are authentic, meaning the brand holds strong convictions and delivers on them, versus experience alone. (2) Marketer 4.0: Emergence of the Tech-Savvy “Martecheter” – Until now the greatest advantages for marketers has been in the order of budget, tools and talent. That model is now inverted, driven by the rapid growth of new skills and customer expectations. (3) AI and Machine Learning Make Hyper-Personalization a Reality – The proliferation of data and compartmentalized marketing stacks has squarely put AI and machine learning-based marketing tools at the center of deep personalization. This will change how marketers make decisions and deploy campaigns as AI analyzes and delivers personalized content with massive scale.”

Read more at IBM.

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