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sports

With the help of IKASI’s learning algorithms, sports franchises can decrease season ticket holders’ churn and increase conversion of single and group ticket purchasers to season ticket holders.

decrease churn and increase upsell

Major league professional sports franchises have become increasingly data-oriented in their operations. Yet they have lagged in matching this analytic capability on the marketing and ticket-holder management side. Every season there are significant lost opportunities to cultivate incremental sales and retain loyalty among individual, group, and season ticket holders.

With the help of IKASI’s learning algorithms, sports franchises can decrease season ticket holders’ churn and increase conversion of single and group ticket purchasers to season ticket holders.

Optimize customer investment

We use reinforcement learning technology to help optimize customer investment to produce profitability.

Outstanding results

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

Case study

Major League Soccer Team

Challenge

A Major League Soccer team assigned roughly 1,600 season ticket accounts annually to each of its sales reps. The reps missed large numbers of “at-risk” accounts since they had limited time to focus on each account and were responsible for conducting their risk assessments. This resulted in low retention and low revenue.

Solution

IKASI’s AI algorithms established three core risk profiles to identify genuinely at-risk accounts. Each rep was then assigned 300 high-priority accounts instead of 1,600 accounts and given a simple mandate; keep those accounts on board.

Results

  An 80% reduction in customers deemed “at-risk”.

  Retention of 40% of “at risk” customers.

  A 200% increase in the renewal rate.

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