Case Study:

Optimizing Customer Loyalty


The Client

In the highly competitive gaming industry, casino property owners are actively using predictive modeling techniques to improve the efficiency and profitability of their acquisition and retention programs. However, the industry has not yet mastered fully utilizing data assets on play history and other transactional behavior of the customer.

The Challenge

Lityx and our business partner DiamondStream—an award winning provider of strategic marketing operations and data analytics to the gaming industry—were engaged by a leading casino property owner in the U.S. to better leverage player data to improve marketing programs.

Specifically, we were tasked with improving acquisition rates, predicting potential player value with more accuracy, and optimizing offers made to new and returning players.

“The dimensionality of the data drove the success of the predictive modeling, and, ultimately, the programs’ results.”

– Bryan Flynn, DiamondStream

graph showing gambling data

The Solution

With 12 to 24-hour automated processing of each days data updates, the AARP Livable Communities team has nearly real-time access to the latest information and insights automatically.
The ability to access a holistic view of the data enables AARP to see the impact of the program in each state and determine future resource expenditures.
With the information organized, it’s easier for the Livable Communities staff to answer questions, with more confidence.

The ability to access data empowers users to provide feedback to the data owners when there are gaps or when more data could be collected and used, enriching their insight.

The Outcome

  • Improved accuracy of predictions of future prospect value by 43%
  • Expense savings of Increased prospect campaign response rates by over 20%
  • Estimated 300% or more improvement to profitability from offer optimization

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