Bet Recommendations - Overview

Delivering personalised betting experiences through data-driven bet recommendations

Overview

Amplifier AI's bet recommendation engine delivers personalised and timely betting recommendations tailored to each players interests and behaviour. By analysing past activity, it identifies preferences across sports, competitions, markets, teams and players.

The system surfaces a ranked list of the most relevant bets (down to the selection-level) from upcoming events over the next 4 days. Typically generating 20 personalised recommendations per player, it optimises engagement, discovery and conversion across key touchpoints, from on-site experiences to CRM communications.

This personalisation drives better outcomes for both players and operators: a smoother, more relevant user experience and stronger performance across product engagement, retention and marketing.

Key Benefits 

• Personalisation at Scale: Tailors recommendations to individual player behaviour and interests.
• Higher Engagement: Drives betting activity by surfacing relevant and timely events.
• Improved UX: Reduces friction in event discovery, making it easier for players to find what they like.
• Marketing Flexibility: Enables targeted messaging, campaigns and lobby configurations. 

Use Cases

The bet recommendation engine is designed to integrate with various partner systems and internal tools, enabling rich personalisation across the player experience. Below are key ways the product can be implemented across channels: 

On-Site Recommendations 

The recommendation engine integrates either directly into the sportsbook front-end or via a CMS, allowing players to discover personalised betting opportunities in real-time.

• Personalised Homepage and Subpages: Display recommendations for each player across key areas in the player journey such as the homepage, sports pages and event pages.
• Sport-Specific Suggestions: Auto-populate “Recommended For You” pages and sections across different sports based on individual preferences.
• Bet Slip & Bet Receipt Enhancements: Suggest bets at key interaction points, such as in the bet slip or on the bet receipt, using a player’s historical betting behaviour and interests.

Recommendation-Powered CRM

Bet recommendations can also be embedded directly into CRM systems to enrich campaigns (e.g. push, e-mail, in-app), leading to increased click-through rates, return visits and overall engagement. By combining personalised recommendations with existing promotional comms, operators can deliver more timely, relevant and compelling messages that better convert.

• Personalised Bet Injection: Dynamically embed recommended bets into free bet reminders, bonus drops or odds boost campaigns to improve click-through and conversion rates. 

• Your Top Recommendation Is About to Start: Real-time trigger when a highly relevant recommended event is approaching kick-off or going live.
• Weekly Personalised Picks: A weekly round-up of upcoming events with relevant markets, most aligned with the player’s interests based on their recent betting activity.