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Pre-Match Alerts - Favorite Market

Blair Matheson
  • Updated

The Pre-Match Alerts - Favorite Market feature enables you to create campaigns that resonate with your customers by highlighting upcoming games featuring their preferred betting markets. By leveraging historical betting patterns, this tool delivers personalized suggestions 1-2 hours before game time, boosting engagement and conversion.

Functionality

This feature analyzes past betting behavior to determine a user’s favorite markets and then monitors upcoming games to identify popular events that match these preferences.

  • Analyze Betting Patterns: Tracks user betting history to identify favorite betting markets (e.g., "First Touchdown Scorer").
  • Monitor Upcoming Games: Checks for popular events that match users' market preferences.
  • Rank and Match: Ranks events based on popularity and odds, then matches users with events featuring their preferred markets.
  • Timely Recommendations: Sends personalized betting suggestions 1-2 hours before game time.

How it Works

  1. Track Betting History: The system reviews users’ past betting activity to identify their preferred markets.
  2. Identify Popular Events: It scans for upcoming games that are popular enough to generate customer interest.
  3. Rank and Filter: Events are ranked by overall popularity and favorable odds.
  4. Market Match: Users are matched with events offering their favorite market types.
  5. Send Recommendations: Personalized suggestions are delivered 1-2 hours before the game starts.

Configurable Parameters & Terminology

  • Activity Window: Determines how recent a user's activity should be considered.
  • Market Lookback: The period over which market preferences are analyzed.
  • Market Threshold: The minimum number of bets required to classify a market as a "favorite."
  • Min Start Time / Max Start Time: Defines the time window before the event when recommendations are sent.
  • Min Engagement: The minimum level of user engagement needed for an event to qualify.

Outputs & Data Points

When a recommendation is generated, the system produces the following outputs:

  • userid: Identifier of the targeted customer.
  • category_name: The event's sports category.
  • eventKey: Unique identifier for the event.
  • eventName: The title of the event.
  • selectionKey: Unique identifier for the recommended selection.
  • selectionName: The name of the recommended betting option.
  • eventdatetime: When the event is scheduled to occur.
  • odds: Betting odds for the recommended selection.

Data Integration Requirements

  • Bet Place (Mandatory): Provides key customer details such as user ID, market name, category name, and event date/time.

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