Player segmentation is the foundation of every successful CRM and retention strategy in iGaming.
This checklist provides a comprehensive framework for segmenting players based on their behavior, value, engagement, financial activity, preferences, and lifecycle stage. It includes 100+ practical segmentation criteria, each with a detailed explanation, business objective, recommended actions, and implementation priority.
The checklist covers:
Player lifecycle
Deposit & financial behavior
Betting and gameplay activity
Retention & churn risk
VIP identification
Bonus sensitivity
Responsible Gaming
Communication preferences
Product engagement
Loyalty & long-term value
Payment behavior
Fraud & risk indicators
Behavioral patterns
Personalization opportunities
Whether you're building a CRM strategy from scratch or optimizing an existing one, this checklist helps identify high-impact player segments that can improve retention, increase lifetime value (LTV), and deliver more personalized player experiences.
Designed for CRM Managers, Product Managers, CPOs, Retention Teams, Data Analysts, VIP Managers, and iGaming operators looking to build a mature segmentation framework.
Segment | Priority | Description | Metric / Criteria | Segmentation Goal | Recommended Actions |
Activity | High | Player activity based on recent engagement. | Recency | Identify inactive players | Reactivation campaigns |
New Paying Players | High | Newly acquired depositing players and their quality. | FTD cohorts | Improve onboarding and early player journey | Optimize welcome flow |
Deposit & Gameplay Frequency | High | Frequency of deposits and gaming sessions. | Deposit frequency, Session frequency | Measure player consistency | Increase RD, micro-bonuses, upsell campaigns |
Player Financial Value | High | Player value based on GGR/NGR. | GGR30/90, NGR | Prioritize high-value players | Early VIP management, personalized offers |
LTV Segmentation | High | Group players by projected lifetime value. | LTV (30/60/90) | Optimize retention budget allocation | Targeted campaigns by value segment |
Repeat Depositors (RD) | High | Percentage of players making a second or subsequent deposit after FTD. One of the key indicators of traffic quality and early retention. | RD % | Measure player quality and identify weak traffic sources or GEOs | Improve welcome package, optimize first 7-day CRM, personalize onboarding |
Paying Active Users (PAU) | High | Share of players who made at least one deposit during the month. | PAU % | Measure the size of the paying audience | Ongoing retention campaigns |
High Rollers | High | Top 5–10% of players by deposits or LTV. | Top LTV %, Deposit > X | Maximize revenue from key players | VIP service, personal account managers, loyalty program |
Bonus Hunters | High | Players abusing promotions and bonus offers. | Bonus/GGR Ratio > X | Reduce bonus abuse and protect promotional budget | Restrict bonuses, wagering limits, game blacklists |
Fraud / AML Risk | High | Suspicious behavior including multi-accounting, VPN usage, chargebacks, etc. | Device/IP/payment anomalies | Reduce fraud and payment risks | Enhanced KYC, payment review, promotional restrictions |
Potential Churn Risk | High | Players whose activity has significantly declined but who have not yet churned. | Increased recency, lower deposit frequency | Prevent churn before it happens | Reactivation campaigns, personalized offers, favorite-game triggers |
Spend-Based Segmentation | High | Groups players based on spending over a selected period. | Total Deposits (30/60/90) | Optimize CRM intensity and bonus strategy | Bonus optimization |
Time-to-Value Segmentation | High | Measures how quickly players become profitable after registration or FTD. | Days until LTV ≥ CAC / Positive NGR | Evaluate onboarding quality and traffic performance | Accelerate onboarding, optimize early lifecycle |
Profitability Segmentation (NGR-Based) | High | Segments players by actual profitability after bonuses, PSP fees, and provider costs. | NGR per User, Margin %, Bonus Cost % | Focus on profitable players | Reduce promo costs for unprofitable players, optimize bonus strategy |
Deposit Triggers | Medium | Identifies what motivates a player to make deposits (bonuses, CRM, favorite games, wins/losses, weekends, etc.). | Event → Deposit correlation | Understand individual deposit triggers | Personalized offers and trigger-based CRM |
Average Revenue per Player | Medium | Measures average revenue generated per player. | ARPU, ARPPU | Evaluate segment value | Increase focus on high-ARPPU segments |
Core Paying Players | Medium | Stable players making regular deposits. | Stable deposits & activity | Retain core revenue base | Personalized campaigns, seasonal events, missions |
High Chargeback Risk | Medium | Players with a history of chargebacks or payment disputes. | Chargeback count | Reduce financial losses | PSP optimization, local payment methods |
Provider Preferences | Medium | Preferred game providers. | CTR/GGR by Provider | Personalize content | Dynamic game recommendations |
Retention Lifecycle Stage | Medium | Lifecycle stages such as FTD, RD, PAU, Churn. | Lifecycle Stage Mapping | Deliver the right retention strategy | Adaptive CRM journeys |
Session Depth | Medium | Session duration and betting activity. | Session Length, Spin Count | Measure engagement | Gamification, session-based bonuses |
Game Preferences | Medium | Preferred game categories (Slots, Live Casino, Crash, etc.). | Game Type | Improve personalization | Similar game recommendations |
Bet Size | Medium | Small, medium, and high betting behavior. | Average Bet Size | Personalize offers | Differentiated promotions |
Payment Method Preferences | Medium | Preferred deposit methods. | PSP Usage % | Optimize payment experience | Segment-specific PSP optimization |
Payment Intent Without Completion | Medium | Players requesting payment details but failing to complete deposits. | Uncompleted payment requests | Reduce payment abandonment | UX improvements, payment guidance, fraud monitoring |
Communication Responsiveness | Low | Player engagement with Push, Email, SMS, and In-App messaging. | Opens, Clicks, Unsubscribes | Improve CRM efficiency | Adjust communication frequency by engagement level |
Device Segmentation | Low | Desktop vs Mobile users. | Device Type | Understand platform distribution | Mobile app / APK strategy |
Slot Volatility Preference | Low | Preferred slot volatility level. | Volatility Heatmap | Improve recommendations | Personalized slot promotions |
Activity Time Segmentation | Low | Playing patterns by time of day or season. | Playtime Patterns | Optimize campaign timing | Time-based CRM campaigns |
Win/Loss Sensitivity | Low | Measures how player behavior changes after significant wins or losses. | Activity changes after major outcomes | Better understand emotional triggers | Adaptive CRM, retention after wins/losses |
