Multichannel Marketing Attribution with DataRobot

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DataRobot Multichannel Marketing Attribution with DataRobot ResourceCard v.1.0

This new report from DataRobot explains the importance of multichannel, multi-touch attribution to accurately measure the success of your marketing efforts — and how automated machine learning provides the shortest path to success.

DataRobot Multichannel Marketing Attribution with DataRobot ResourceCard v.1.0

You'll discover:

  • The need for accurate, multichannel attribution in the age of multiple touchpoints
  • How proper attribution solves common marketing inefficiencies
  • How machine learning provides a way to map the consumer's path to purchase
  • How DataRobot allows you to create sophisticated marketing attribution models that quantify the effectiveness of different kinds of marketing activities and different combinations of marketing touchpoints
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
    Deena Narayanaswamy
    Deena Narayanaswamy

    Head of Data Insights, Avant

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant