Marketing

Built For Today's Marketer

• Accuracy

  Grouping similar customers for marketing purposes – or “Cluster Analysis” – used to be a best marketing practice. But times have changed and today’s consumers expect to be treated as individuals, not part of a group. Clustering decreases targeting efficiency, which equates to less sophisticated marketing, fewer sales, and higher costs. Modern machine learning marketing techniques accurately predict complex human behavior on an individual level.

• Time to Market

  Human behavior is complex and constantly changing. To keep your marketing strategy up-to-date, your predictive models need to continuously evolve in order to keep up with the latest trends. Historically, teams of data scientists manually built these models over weeks or months, eating into ROI and compromising timelines. With DataRobot, models can be created in a fraction of the time and updated as conditions change to remain relevant.

• Scaling for Growth

  50 years ago, people shopped locally and shopkeepers knew every customer. But modern businesses have thousands or even millions of customers. No single human, or even a team, can keep track of that many people. With DataRobot, marketers can finally process the huge amount of data that accompanies an ever-expanding consumer base faster than a team of data scientists could ever hope to.

• Transparency

  It’s not enough to know that your model selected a customer to include in your next marketing campaign. You need to know precisely why it did so, and have trust in the accuracy and accessibility of your data—knowing that this was the right call. Once you understand the reasons, you can align the message with each individual customer optimize the effectiveness of your marketing campaign. DataRobot doesn’t just build accurate models – it explains how they work.