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The digital age has drastically increased the number of sales prospects, touchpoints, and communication channels available to marketers. With all these variables, it is impossible to manually determine the combination that will result in the best engagement for each individual prospect, which is why marketers have traditionally applied customer segmentation across their entire customer database. However, every customer is unique, and in the age of individualization, this method of mass communication will drive prospects away.
Modern machine learning algorithms discover the patterns in your customers’ buyers’ journeys that lead to sales, allowing you to determine the marketing touchpoint that will most effectively move each customer toward the decision to purchase. Additionally, you can determine which customers actually want to receive your content, resulting in improved customer relations and marketing ROI.
Next best action models can be complex and time-consuming to build, but with DataRobot you can predict the most appropriate touchpoint for each customer, focusing your marketing efforts and optimizing your revenue and profit with just one click.
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Marketing departments and organizations are using machine learning and AI to determine the effectiveness of their marketing activities and operations, accurately target customers, move them further down the funnel toward purchase, and improve customer relationships. AI allows marketers in every industry to accurately determine and improve ROI, resulting in tangible bottom-line value.