If you’re a marketer in 2020, there’s no doubt you’ve heard the benefits of AI and machine learning. And while AI is a game-changer for marketers looking to do more with their budgets, data, and technology, we often focus on popular topics, like recommendations, leaving one of the most brilliant uses of AI for marketers often goes untouched: Predictive Scoring. This might even be your first time hearing that term. Basically, Predictive Scoring is:
Predictive scoring, much like traditional lead scoring techniques, uses AI algorithms to analyze every behavior a customer (both known and unknown) has exhibited with your brand and assigns a value from 1-100 that shows, comparative to others, how likely any given customer is to engage, convert, or churn.
Pretty amazing right? Predictive Scoring can help you stop wasting your time and money sending the wrong customers the wrong messages, and really hone in on what will make the most impact for your organization. Curious to see how Predictive Scoring is used in practice? Here are some of the most popular campaigns Blueshift customers have created with the help of Predictive Scoring.