Functionality

The tool analyzes trends and user behavior behind the scenes, recommending only the most popular and timely events. This means you can build campaigns showcasing opportunities customers will most likely engage with.

• Identify Trending Events: Scans for the most popular upcoming betting events in customers’ favorite sports.
• Data-Driven Personalization: Uses customer betting history to determine which events to highlight.
• Timely Recommendations: Focuses on events scheduled for the day so that your promotions are always relevant.
• Prevents Redundancy: Filters out events that customers have already interacted with, ensuring fresh and exciting options.

How it Works

1. Analyze Customer Data: The system reviews past betting behavior to identify each customer’s favorite sports.
2. Spot High-Interest Events: It scans for today’s most popular events in those sports.
3. Timeliness Check: Applies a filter based on a specific time window (min/max_hours) to select events that are about to start.
4. Select Trending Markets: Determines which betting markets are drawing the most activity.
5. Eliminate Duplicates: Ensures recommendations don’t repeat for customers who have already placed bets.
6. Deliver Recommendations: Sends out personalized recommendations to targeted customers.

Configurable Parameters & Terminology

Understanding these parameters can help you align your campaign strategies with the tool’s recommendations:

• Activity Window: Number of past days considered when evaluating customer activity.
• Min Start Time / Max Start Time: Defines the time window for event start times, ensuring recommendations are timely.
• Popular Bets Window: The period used to evaluate an event’s popularity.
• Sport Categories, Competitions, Event Types: Criteria for selecting which sports and event types to include.
• Category Preference: Determines whether a recommendation is pulled from a customer’s favorite category or a broader selection.
• Exclude Recent Bets: Ensures customers aren’t shown events they’ve already bet on recently.
• Min Popularity Score: Sets a minimum benchmark for an event to be considered popular enough.

These settings empower you to fine-tune your strategies and ensure that every recommendation meets your customers' specific needs and interests.

Outputs & Data Points

The system generates these key outputs to inform your campaigns:

• event_name: The recommended betting event.
• market_name: Details about the betting market.
• market_key: The unique identifier for the betting market.
• category_name: The sports category of the event.
• selection_name: The specific betting option.
• selection_key: The identifier for the betting option.
• userid: An internal reference to ensure the recommendation is accurately targeted.

Data Integration Requirements

For seamless operation, the tool integrates with the following data sources:

• Bet Place (Mandatory): Contains key customer details such as user ID, event specifics, category and market information, and the event date and time.
• Inventory Snapshot: Provides vital identifiers, such as selectionKey, used to correlate betting options.