- Salesforce’s State of Marketing report included the fact that 60 percent of marketers are counting on AI implementations like Salesforce Einstein to have a “substantial or transformational” impact on programmatic and media buying for the year ahead and at least through 2022.
- A CapGemini survey of 1,000 organizations found that 83 percent agree AI has already created new jobs and 75 percent have seen a 10 percent uplift in revenues directly tied to AI initiates. Meanwhile, 73 percent said that AI has boosted customer satisfaction scores and 65 percent said AI-based decisions have reduced customer churn rates.
- Deloitte’s 2017 Global Contact Center survey found that 56 percent of technology, multimedia, and telecommunications companies will be investing in AI this year, especially for “sentiment analysis” of social media data. Sentiment analysis uses AI algorithms to surface clues of underlying opinions in posts, social video, and comments. The sentiments can then be categorized and segmented based on audience types for more accurate targeting.
- Voice analytics are helping marketers be more collaborative and persuasive in both internal and external meetings. Voice patterns, unexpected pauses, and previously unintelligible crosstalk can be unraveled by programs incorporating AI and machine learning. An example is a company that discovered their most persuasive speakers instinctively used a talk-to-listen ratio of 43:57. In their most successful interactions, they spoke 43 minutes for every 57 minutes of listening.
- Oracle researchers reported that 36 percent of brands have already implemented AI chatbots for customer interactions and market research. A full 80 percent of brands said that they either have chatbots now or intend on implementing them by 2020.
- Mass customization sounds like an oxymoron, but AI is making relevant content work at scale. Google is constantly refining its many AI projects but has been particularly successful at dialing up viewable impressions for premium placements. In advertising for Google’s own Pixel phone, they used AI to boost impressions on premium inventory by 3X, while reducing the viewable cost per thousand (CPM) by 34 percent.