Edge Demonstration Environment — Synthetic data for presentation and certification.

Edge Engine Reference

Complete guide to all platform features

Platform Overview

overview

Welcome to Edge Engine

What Is Edge Engine?

Edge Engine is an all-in-one player engagement and retention platform designed for online gaming operators. It connects your player data, marketing automation, AI analytics, and compliance tooling into a single command center.

Whether you're running one brand or many, Edge Engine helps you understand who your players are, predict what they'll do next, and act on it — automatically.

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How Data Flows Through the Platform

Step 1 — Data Ingestion

Player activity arrives via:

  • **Secure Data Connectors**: Bring player activity, transactions, and customer records into the platform
  • **Manual Import**: Upload CSV/Excel from approved data sources
  • **Event Stream**: Individual player events (login, deposit, gameplay, etc.) tracked in real time
    • Step 2 — Player Intelligence

    Once data is in, the platform builds a complete profile of every player:

  • **Status & Value Tier**: Automatically classified (Active, VIP, Churned, etc.)
  • **Churn Score**: 0–100 risk of leaving
  • **CLV**: Predicted lifetime value
  • **Behavioral Profile**: AI-powered cluster (High Frequency, Casual, Dormant, etc.)
  • **Next Best Action**: What to do next for each player
    • Step 3 — Segmentation

    Group players dynamically:

  • Build rule-based segments using any player attribute
  • Create lookalike audiences from your best players
  • Segments auto-update as player data changes
    • Step 4 — Engagement (Campaigns & Journeys)

    Act on your segments:

  • **Campaigns**: One-time or recurring sends via Email, SMS, Push, or In-App
  • **Journeys**: Multi-step automated workflows triggered by behavior, segment entry, or schedule
  • **A/B Tests**: Experiment with variants to find what works best
    • Step 5 — Analytics & Optimization

    Measure everything:

  • **GGR / Revenue Dashboard**: Gross and net gaming revenue by brand and product
  • **Churn Risk Dashboard**: Track and intervene on at-risk players
  • **CLV Analysis**: Understand where your value comes from
  • **A/B Testing**: Measure lift and statistical significance
  • **Reports**: Export any data to Excel or schedule email reports
    • Step 6 — Risk & Compliance

    Protect your operation:

  • **Risk Management**: Auto-scan for high winners and bonus abusers
  • **Compliance Flags**: Track deposit limits, self-exclusions, AML alerts
  • **Suppression Manager**: Ensure opted-out players never receive messages
  • **Audit Log**: Full history of every action taken in the platform

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    Recommended Starting Workflow

  • **Review your players**: Visit the Players page and explore your database
  • **Run AI Analysis**: Go to Behavioral AI and click "Run Full Analysis"
  • **Score Churn**: Visit Churn Risk and score your player base
  • **Create Segments**: Build segments for your key audiences (At Risk, VIP, Dormant)
  • **Launch a Campaign**: Target your first segment with a retention or win-back offer
  • **Monitor**: Check the Intelligence Hub and GGR daily for performance

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    Key Concepts

    Brands

    Each brand is a distinct operator label. Players, events, campaigns, and data are all brand-scoped. Use the brand filter bar at the top of most pages to switch context.

    Player Status
  • **Registered**: Signed up, not yet active
  • **Active**: Recently engaged
  • **Inactive**: No recent activity
  • **Churned**: Lost player
  • **VIP**: High-value, priority player
    • Value Tiers

    Automatically calculated from lifetime value and deposit behavior:

  • **Low**: < $500
  • **Medium**: $500–$2,000
  • **High**: $2,000–$10,000
  • **VIP**: > $10,000
    • Churn Score

    A 0–100 score predicting likelihood of leaving. Scored based on days inactive, deposit decline, and engagement drops. Use the Churn Risk dashboard to intervene.

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    Getting Help

  • Use the left sidebar to navigate to any module
  • Each module page has its own documentation in this guide
  • Use the reports and module guides for exports, workflows, and feature reference

    • Quick Tips & Best Practices

    Start with the Platform Overview module to understand how data flows through the system before diving into individual features

    Review the Intelligence Hub daily — it highlights the most important player, revenue, and risk signals

    Run Behavioral AI → Run Full Analysis to update churn scores, CLV, and next-best-action recommendations

    Segments auto-update as player data changes — build them once and reuse across campaigns and journeys

    A/B tests need at least 1–2 weeks and a large enough audience to produce statistically reliable results

    Always add a resolution note when clearing a Risk Flag — this creates an audit trail and protects you during compliance reviews

    Use the Player 360° Profile to investigate any player before making decisions on campaigns, risk flags, or compliance actions

    All tables and dashboards can be exported to Excel — use this for external reporting or sharing with stakeholders