AI-Driven Player Engagement Solutions
AI-powered solutions that combine real-time player data with intelligent decision-making to remove manual complexity and deliver measurable impact at scale.
Trusted teams we have partnered with
features
Solutions Built for Maximising Individual Player Lifetime Value
Each solution addresses a core challenge in player lifetime value optimisation from automation and personalisation to predictive insights and operational efficiency.
Automate
AI-Driven P&L Decisioning, Built for Gaming
We centralise your player data, automate complex workflows, and continuously optimise campaigns using AI reducing manual effort while increasing player engagement and lifetime value.
Personalise
The right experience for every player
Deliver personalised messages, incentives, and journeys based on player actions, preferences, and intent. Ibex.ai adapts experiences in real time, helping you engage players more effectively across their entire lifecycle.
Predict
Act before performance drops
Identify churn risk, high-value players, and growth opportunities using predictive intelligence. Ibex.ai surfaces insights early, allowing teams to focus on proactive strategies instead of reactive fixes.
control
One platform, One clear view
Run retention across channels, teams, and tools from a single intelligent platform. Ibex.ai centralises data and workflows, reducing complexity while improving visibility and control.
How Ibex Solves Real Challenges
A set of practical capabilities designed to drive outcomes, not just activity.
Intuitive Dashboards
Access your most important retention metrics through a clean, intuitive interface designed to enhance decision-making and workflow efficiency.
Daily Campaigns
Run daily, weekly, or monthly retention and reactivation campaigns powered by your rules or Ibex’s AI models without constant manual setup.
Real-Time Engagement
Trigger AI-driven or predefined promotions and communications within seconds of a player’s action, ensuring relevance at the moment it matters most.
Fully Personalised Approach
Treat every player as an individual. Ibex adapts engagement based on unique behaviour patterns, eliminating one-size-fits-all segmentation.
Tailored to iGaming
Predict the impact of gaming-specific mechanics like free bets, match bonuses, and cash back offers optimised for both engagement and profitability.
Customised to Your Needs
Ibex is not a rigid system. We tailor the platform to your data, goals, and operational setup ensuring relevance from day one.
CASE STUDIES
Designed for Impact, Not Complexity
Every solution within Ibex is built to reduce overhead, increase relevance, and drive measurable improvements in retention and lifetime value.
CASE STUDy
Randomised trial: pitting the Ibex AI against segment-based CRM
How iGaming CRM activities will fundamentally change through AI-driven automation
+15%
Increase in player retention
32%
Reduction in manual campaign work
5sec
Respond to player behaviour
TESTIMONIALS
Client Success stories
From CRM teams to commercial leaders, gaming operators use Ibex.ai to simplify retention, reduce manual effort, and engage players in real time. Here’s what teams say after putting AI-powered automation into action.
"The Ibex Optimised AI engine has improved player engagement by making campaigns more relevant and easier to manage, resulting in a clear uplift in performance."
“ We were very sceptical and hesitant on handing over the reigns to an AI Powered CRM System. I must say that Ibex have surpassed our expectations in what it can deliver. ”
"We've tested Ibex next to our existing CRM solution and after 6 months decided to give 90% of all our campaigns to Ibex which has outperformed prior results by far."
blog
Actionable Insights for Gaming Growth
Practical tips and proven strategies to improve retention, efficiency, and player value.
Data Science
Data Science
Data Science
Ready to Get Started?
See how Ibex.ai helps gaming teams automate optimise NGR with AI Enhanced Bonusing - engaging players in real time, and driving measurable impact without adding complexity.
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