Key Moments:
- Altenar has introduced a Bet Suggestions widget designed to increase player engagement through personalized prompts.
- The tool utilizes behavioral data to recommend additional selections based on aggregated previous user activity.
- This feature follows successful launches of Bet Cards and Slice Markets that contributed to Altenar’s recognition for innovation.
New Engagement Tool Introduced
Altenar revealed its latest innovation aimed at elevating user participation: the Bet Suggestions widget. This addition is crafted to provide intelligent, trend-based prompts by analyzing user behavior patterns.
Behavioral Data Powers Personalized Prompts
After a player adds a selection to their betslip, the widget presents further suggestions. These recommendations originate from commonly paired choices that reflect real-world betting trends, all derived from aggregated data on prior wagering activity. The intent is to help players discover relevant and popular combination bets, which in turn fosters a more interactive experience and offers new revenue opportunities for operators.
Continuing Altenar’s Innovation Track
This release is part of a broader strategy by Altenar to continually refine its offerings. Earlier features such as Bet Cards and Slice Markets have already enhanced platform engagement, leading to industry accolades for the company, including recognition for the Most Innovative Sportsbook Feature.
| Feature | Purpose | Impact | 
|---|---|---|
| Bet Suggestions Widget | Recommends trend-based additional selections | Boosts player engagement and operator revenue | 
| Bet Cards | Engagement enhancement | Award recognition contributor | 
| Slice Markets | Additional market options | Award recognition contributor | 
Leadership Perspective
Antonis Karakousis, Director of Operations at Altenar, said: “At Altenar, our focus is always on creating smarter, more engaging experiences for both players and operators. The Bet Suggestions widget harnesses real betting behaviour to deliver intelligent, relevant prompts that keep users engaged while helping operators maximise the value of every interaction.”
- Author
Daniel Williams


 
 
