gaming

Using IKASI’s learning algorithms, casino operators can dynamically adjust their players’ reinvestments in ways not previously possible. IKASI’s algorithm continuously analyzes players’ behaviors to predict their responses to your marketing offers.

data segmentation of the future

Many casinos are using antiquated data segmentation models that include limited data points to determine player reinvestment. The time and cost of labor in “repeatable” and inefficient segmentation processes can be high. The existing processes are also prone to delays and errors. Response time to market is slow.

Most players reinvestment is not aligned with the optimal return for the Casino. At the same time, many deserving customers do not receive commensurate offers. In turn, they become unsatisfied with their casino experience and may visit less frequently, or go to the competition.

understand your customers through and through

Using IKASI’s learning algorithms, casino operators can dynamically adjust their players’ reinvestments in ways not previously possible. IKASI’s algorithm continuously analyzes players’ behaviors to predict their responses to your marketing offers.

Always on

Through automation and integration with your database, we create a dynamic and continuous “loop” of reinvestment decisions to drive additional casino visits, resulting in higher player revenues.

error mitigation

Automation and integration with your database limits the exposure to costly errors that come with manually entering offers into casino management systems.

cumulative improvement

Our AI algorithm is continuously learning and gets better with each month, creating a “sustainable” increase.

Consistent across property types

AI Software produces consistent results with destination as well as local properties.

Outstanding results

The result is millions of dollars in additional net Theo. The typical increase is 5%-7%.

Case study

Southern California Casino

Challenge

A Southern California Native American casino experienced growing competition from 5 casinos in the area resulting in loss of customers and revenue.

Solution

IKASI automated the market segmentation process to better serve the Casino’s players. Using our nano-segmentation technology, IKASI reclassified customers based on the frequency of visits, distance from the property, seasonality, zip code, profitability, gaming behavior, activity per visit, and more. Over 2,000 real and synthetic data points were used to create offers for the player. These offers were then automatically adjusted every month to calculate over and under investments for individual players.

Results

  Customer trips increased to 4.7 per month.

  Net Theo win increased by 19%.

  A 2-tier increase in offers for players within 65 miles, bringing 5-10% more players into the casino.

  The Casino was triggered to expand its existing facility to accommodate the growing customer base.

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