Use Customer Data Platform for Predictive Scoring

Harness the Power of Predictive Analytics to Boost Marketing Results

Using Arm Treasure Data enterprise Customer Data Platform for Predictive Scoring

Predictive analytics is the use of data, algorithms, and machine learning techniques to assign ‘scores’ to various user segments based on historical data. Its goal is to assess a likelihood of what will happen in the future — such as making a purchase, predicting churn or influencing a customer or user behavior — so that a specific action can be taken.

In this white paper, you will learn about predictive analytics as well as its common use cases:

  • Identification of customers likely to churn
  • Recommendations for eCommerce cross-selling and upselling
  • Predictive maintenance and quality fulfillment with IoT monitoring
  • Prediction of features for product development
  • Inventory forecasting and pricing strategy
  • Calculation of risk

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Subaru’s Success

Arm Treasure Data enterprise CDP’s predictive analytics empowered Subaru to see their customers as individuals on different buying journeys. Buyers in the consideration phase were very different than those who were close to purchasing, and the prediction of purchase with behavior-based audience segments allowed Subaru to personalize communications for its various segments to better drive growth and revenue.

  • Subaru’s ‘highly likely to buy’ estimate shot from 26% to 73% with Treasure Data’s Machine Learning capabilities
  • One highly targeted “cash back” campaign yielded $26M from an order rate increase of 15%
Prediction Extends Beyond the Marketing Department

Marketing is just one function in the organization that can benefit from predictive analytics. As the purveyors of customer lifetime value, marketers must constantly find new ways to engage consumers. So it’s no wonder that the ability to predict customer churn and target the right groups of buyers for upsell and cross-sell are the most common applications of predictive analytics. However, there are many other functions including supply chain, operations, product, and customer service that can also reap the rewards of predictive techniques to improve business results.

With the rise of prediction, a landmark shift in understanding human behavior is underway — allowing companies to delight their customers with experiences tailored to their preferences, operating within an efficient and aligned organization.

To learn more about how to harness the power of prediction, download the white paper here.

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