Challenge:
A casino struggled to maximise profitability from its high-value players due to limited insights into their preferences and spending habits, resulting in inefficient resource allocation and lost revenue opportunities.
Solution:
Lidiya implemented a predictive analytics model to assess high-value customers’ gaming behaviour, identifying peak activity times, preferred games, and optimal promotional offers. By segmenting players, she created personalised engagement plans, targeting each high-value player with tailored offers and exclusive experiences based on behavioural patterns.
Outcome:
This customised approach led to a 20% increase in revenue from high-value players, a 35% increase in visit frequency, and enhanced customer satisfaction, which improved long-term loyalty among top-tier clients.