How casinos identify VIP players
1. Business objective and principles
Online casinos allocate VIP players to increase loyalty and turnover. The task is to automate selection without false positives, combining quantitative metrics and qualitative expertise.
2. Key quantitative metrics
1. Amount of deposits
Threshold: often ≥ €5,000- €10,000 per month.
Frequency: at least three large transactions in 30 days.
2. Wagering turnover
Minimum: rate turnover ≥ 10-20 × deposits (for example, €100,000 turnover with €5,000 deposits).
Sessions: activity ≥ 50 rounds/spins per week.
3. Average bet size
Threshold: unit rates ≥ 1-2% of the bankroll, usually €500 + per spin or round.
4. Time and geography
Global sessions: round-the-clock play in different zones, indicating serious interest.
Multi-devices: inputs from different devices and IP with stable verification.
3. KYC and profiling
Identity verification: verification of passport data, sources of income (especially for deposits ≥ €10,000).
Payment history: analysis of payment instruments (credit cards, e-wallet, bank transfers).
AML compliance: No sign of account trading or money laundering.
4. Scoring and segmentation
1. Automatic rules (rule-based): if the player exceeds two of the three thresholds (deposit, bets, turnover), the status of a potential VIP is assigned.
2. Machine learning models: consider additional factors (drawdown rate, return to sessions after losses) for predictive scoring.
3. CRM segments: combine players by Value tiers (Low, Mid, High, VIP) with dynamic updates every 24 hours.
5. Role of account managers
Custom validation: an overview of automatic triggers, "calling" players to clarify preferences.
Personal interviews: conversations on video or phone to build a profile: style of play, goals, preferences.
Recommendations for conditions: the manager offers unique limits, offers and invitations to VIP events.
6. Technological infrastructure
1. BI dashboards: real-time summary of margins, LTV and player activity.
2. Alert systems: triggers for reaching thresholds, notifications for managers and risk services.
3. Integration with ERP/CRM: a single base where all interactions are recorded: rates, payments, appeals to support.
7. Casino best practices
1. Flexible thresholds: regular adjustment of metrics for seasonality and updating profiles.
2. Transparency: informing the player about the VIP status and ways to get it.
3. A balanced approach: a combination of automatic scoring and manual checking to minimize errors.
8. Conclusion
Identifying VIP players is a competent combination of big data analysis and a personal approach. Clear quantitative criteria (deposits, turnover, bets), reliable KYC, advanced scoring models and qualified account managers create an accurate selection system that brings the casino new momentum and provides high rollers with a premium service.
Online casinos allocate VIP players to increase loyalty and turnover. The task is to automate selection without false positives, combining quantitative metrics and qualitative expertise.
2. Key quantitative metrics
1. Amount of deposits
Threshold: often ≥ €5,000- €10,000 per month.
Frequency: at least three large transactions in 30 days.
2. Wagering turnover
Minimum: rate turnover ≥ 10-20 × deposits (for example, €100,000 turnover with €5,000 deposits).
Sessions: activity ≥ 50 rounds/spins per week.
3. Average bet size
Threshold: unit rates ≥ 1-2% of the bankroll, usually €500 + per spin or round.
4. Time and geography
Global sessions: round-the-clock play in different zones, indicating serious interest.
Multi-devices: inputs from different devices and IP with stable verification.
3. KYC and profiling
Identity verification: verification of passport data, sources of income (especially for deposits ≥ €10,000).
Payment history: analysis of payment instruments (credit cards, e-wallet, bank transfers).
AML compliance: No sign of account trading or money laundering.
4. Scoring and segmentation
1. Automatic rules (rule-based): if the player exceeds two of the three thresholds (deposit, bets, turnover), the status of a potential VIP is assigned.
2. Machine learning models: consider additional factors (drawdown rate, return to sessions after losses) for predictive scoring.
3. CRM segments: combine players by Value tiers (Low, Mid, High, VIP) with dynamic updates every 24 hours.
5. Role of account managers
Custom validation: an overview of automatic triggers, "calling" players to clarify preferences.
Personal interviews: conversations on video or phone to build a profile: style of play, goals, preferences.
Recommendations for conditions: the manager offers unique limits, offers and invitations to VIP events.
6. Technological infrastructure
1. BI dashboards: real-time summary of margins, LTV and player activity.
2. Alert systems: triggers for reaching thresholds, notifications for managers and risk services.
3. Integration with ERP/CRM: a single base where all interactions are recorded: rates, payments, appeals to support.
7. Casino best practices
1. Flexible thresholds: regular adjustment of metrics for seasonality and updating profiles.
2. Transparency: informing the player about the VIP status and ways to get it.
3. A balanced approach: a combination of automatic scoring and manual checking to minimize errors.
8. Conclusion
Identifying VIP players is a competent combination of big data analysis and a personal approach. Clear quantitative criteria (deposits, turnover, bets), reliable KYC, advanced scoring models and qualified account managers create an accurate selection system that brings the casino new momentum and provides high rollers with a premium service.
