Industry Guide Overview

In the highly competitive and data-intensive gambling industry, operators require robust analytics tools to understand player behavior, optimize marketing efforts, enhance player retention, and ensure regulatory compliance.

This guide highlights the best analytics platforms tailored for gambling businesses, focusing on their features, pricing models, and practical applications.

Overview of Analytical Requirements and Typical Datasets

Gambling businesses analyze diverse datasets, including player acquisition sources, user interaction paths, betting patterns, financial KPIs (Gross Gaming Revenue, Net Gaming Revenue, Average Revenue Per User), and real-time operational data.

Analytics tools must handle large volumes of data, provide real-time insights, and support compliance with privacy regulations like GDPR.

Criteria for Evaluating Analytics Tools

• Security and Compliance: Data privacy, GDPR alignment, and control over player data.
• Scalability: Ability to handle large datasets and real-time data streams.
• Integration: Compatibility with existing platforms, marketing tools, and payment providers.
• Reporting and Visualization: Intuitive dashboards, customizable reports, and real-time monitoring.
• User-Friendliness: Accessibility for both technical and non-technical users.

Top Analytics Solutions for Gambling Businesses

1. Google Analytics 4 (GA4)

• Why Chosen: Comprehensive tracking of player interactions across web and mobile, event-based data capturing, and integration with Google Ads.
• Features: Player acquisition tracking, user behavior analysis, marketing conversion tracking.
• Pros: Deep insights into player journeys, predictive analytics, strong marketing integration.
• Cons: Complexity for new users, data sampling issues with large datasets.
• Pricing: Free with premium options via Google Marketing Platform.

2. Microsoft Power BI

• Why Chosen: Advanced data visualization and real-time operational dashboards.
• Features: KPI and revenue reporting, custom player segmentation, live data monitoring.
• Pros: Powerful visualization, extensive data connectivity.
• Cons: Steep learning curve, performance issues with very large datasets.
• Pricing: Subscription-based, starting at $9.99/user/month.

3. Matomo

• Why Chosen: Privacy-focused analytics with full data ownership.
• Features: Self-hosting option, GDPR compliance, detailed player behavior insights.
• Pros: Enhanced privacy, regulatory compliance, no data sampling.
• Cons: Requires technical setup for self-hosting.
• Pricing: Free for self-hosted; cloud plans start at $29/month.

4. Fullstory (Behavioral Data & Analytics Platform)

• Why Chosen: Fullstory is an AI-powered behavioral data and analytics platform that automatically captures every interaction across web, mobile, and custom digital surfaces. It helps product, UX, data, support, and marketing teams understand friction, resolve issues faster, and improve both customer and employee experiences.
• Features: DOM-level auto-capture, session replay, heatmaps, funnels, journey mapping, frustration detection, console and network logs, StoryAI insights, Fullstory Anywhere for flexible deployment and data activation, and Fullstory Workforce for digital employee experience visibility.
• Pros: Works out of the box with no tagging (including SPAs), unified data model, accurate debugging signals, strong privacy controls, and flexible data access for enterprise needs through APIs and Fullstory Anywhere.
• Cons: Premium pricing for high-volume enterprise use; not a full BI or revenue analytics platform; large datasets may require governance to prevent noise.
• Pricing: Quote-based plans that scale by usage and data needs. Trials and free options are available.

Learn more about behavioral analytics with Fullstory.

5. Adobe Analytics

• Why Chosen: Highly customizable for large-scale operations.
• Features: Deep player segmentation, advanced reporting, integration with Adobe Experience Cloud.
• Pros: Extensive customization, powerful data analysis.
• Cons: High cost, complexity.
• Pricing: Custom pricing based on enterprise needs.

6. Scaleo (Affiliate Marketing Tool)

• Why Chosen: Specialized for iGaming affiliate marketing.
• Features: Real-time tracking, customizable commission structures, fraud detection, seamless integrations.
• Pros: Tailored for gambling affiliate management, strong fraud protection.
• Cons: Monthly fee may be high for small operators.
• Pricing: Around €600/month with a 14-day trial.

7. Smartico (AI Casino Prediction Software)

• Why Chosen: AI-driven gamification and customer retention platform.
• Features: Predictive analytics, personalized marketing automation.
• Pros: Enhances player engagement and loyalty.
• Cons: Limited publicly available pricing.

Notable Customer Testimonials and Case Studies

• Altenar clients have reported improved player retention and marketing ROI by integrating GA4 and Power BI dashboards.
• Scaleo users highlight increased affiliate program efficiency and fraud reduction.

Actionable Tips for Selecting the Right Tool

• Define your business goals: player acquisition, retention, revenue optimization, or compliance.
• Consider the technical expertise of your team when choosing complex tools like Power BI or Adobe Analytics.
• Prioritize privacy and compliance if operating in regulated markets.
• Use integrated solutions (e.g., GA4 with Power BI) for comprehensive insights.
• Test tools with free trials or demos to assess usability and fit.

This guide equips gambling business professionals with the knowledge to confidently select analytics tools that align with their operational needs and strategic goals, driving growth and competitive advantage in the evolving iGaming landscape.

Analytics Requirements for Gambling

The gambling industry, including sports betting, casinos, and online gaming, requires sophisticated analytics to support informed wagering and operational decisions. Key analytics needs involve analyzing large and diverse datasets such as historical team and player performance, betting odds, in-game statistics, weather conditions, and player behavior patterns. Typical datasets include real-time and historical sports statistics (e.g., offensive/defensive ratings, shooting percentages, pace), transaction and payment data, clickstreams, social media profiles, and marketing performance metrics. Advanced techniques such as probability analysis, regression, and machine learning models are used to predict outcomes, optimize odds, and identify risky or addictive behaviors. Real-time data analytics is crucial for timely customer response, fraud detection, compliance with regulations (e.g., anti-money laundering, responsible gambling), and risk management. Analytical requirements emphasize security, scalability, integration of multiple data sources, and actionable insights to improve decision-making, customer experience, and regulatory compliance in a dynamic and fast-paced environment.

Evaluation Criteria

• Player acquisition tracking to identify effective traffic sources and optimize marketing spend.
• User behavior analysis to map detailed player interactions and optimize user experience.
• Marketing and conversion tracking integrated with platforms like Google Ads to measure campaign effectiveness.
• Advanced KPI and revenue reporting with interactive dashboards showing key metrics such as GGR, NGR, and ARPU.
• Custom player segmentation and behavior analytics for targeted marketing and personalized engagement.
• Real-time operational dashboards for monitoring live data and responding to unusual activities.
• Security and compliance features ensuring data privacy and regulatory adherence, including GDPR compliance.
• Scalability and integration capabilities to handle large datasets and connect with multiple data sources.
• Ease of use balanced with advanced features, considering the technical skill level of users.
• Fraud detection and prevention mechanisms to identify and mitigate fraudulent activities.
• Robust reporting capabilities for compliance documentation and performance transparency.
• Flexible pricing models suitable for different business sizes and needs.

Top Recommended Analytics Tools

• Google Analytics 4 (GA4)
• Microsoft Power BI
• Matomo
• Fullstory
• GameAnalytics
• Mitzu.io
• Unity Analytics
• Google Analytics for Firebase
• Flurry Analytics
• Smartico
• Scaleo
• GammaStack Casino Analytics Software

Comparison Summary

Feature / Platform	GameAnalytics	Mitzu.io	Unity Analytics	Google Analytics 4 (GA4)	Microsoft Power BI	Matomo (formerly Piwik)	Gaming Analytics (AI for Casinos)	Fullstory
Best For	Indie & mid-sized mobile game studios	Companies with large data warehouses	Unity-based game developers	iGaming operators needing cross-platform tracking	iGaming operators needing advanced BI & visualization	Privacy-focused, self-hosted analytics for regulated markets	Casino operators needingAI-driven real-time insights	Product, UX, data, support, and marketing teams need deep behavioral analytics and AI-powered product insights across web, mobile, and employee-facing tools.
Supported Platforms	Web, mobile, game engines	Warehouse-native (BigQuery, Snowflake, Redshift), SaaS	Unity Engine	Web, mobile, apps	Extensive data sources	Self-hosted	Casino floor, marketing, player development	Web, iOS, Android, mobile SDKs, internal tools, and custom digital products via APIs and Fullstory Anywhere.
Data Capture Depth	Prebuilt + custom events	Unlimited event capture, warehouse-native	Standard + custom events	Event-based tracking	Depends on connected sources	Standard event and behavior tracking	Deep casino-floor operational data	DOM-level auto-capture with every interaction recorded, no tagging required, even for dynamic SPAs.
Setup & Maintenance	Plug-and-play SDKs	Requires warehouse setup and configuration	Built into Unity projects	SDK snippet + event configuration	Requires dashboard setup and data modeling	Self-hosted setup required	Guided setup with AI integrations	One snippet or SDK setup; adapts automatically as sites and apps evolve with no re-tagging.
Platform Integrity	Unified platform for game insights	Warehouse-native unified data model	Integrated with Unity ecosystem	Google ecosystem unified tracking	Integrates multiple data sources into a unified BI	Full control over platform and data integrity	Unified casino AI analytics stack	Single, unified platform on one data model, session replay, product analytics, and AI features work seamlessly together.
Real-Time Analytics	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes – real-time event capture, frustration alerts, signals, and session availability.
Custom Dashboards	Yes	Yes (self-service, no SQL required)	Yes	Yes	Yes	Yes	Yes	Yes – full dashboards, segmentation tools, and Saved Insights for teams.
Event Tracking	Prebuilt & custom	Yes (unlimited events, direct warehouse)	Yes (Standard & custom)	Yes (customizable, unlimited)	Via data ingestion	Yes	Yes	100% auto-capture with optional custom events and attributes.
User Segmentation	Yes (Real-time)	Advanced (behavior, spend, lifecycle)	Yes (cohorts, player groups)	Yes (behavior, demographics)	Yes (custom segmentation)	Yes	Yes	Real-time segmentation by behavior, journey step, frustration, device, or custom attributes.
Marketing Analytics	Retention, Cohort, Funnel, User Journey	Yes	Yes	Yes	Yes	Yes	Yes	Conversion tracking, funnel insights, and integrations with attribution and marketing platforms.
A/B Testing	No	Yes	Yes (Remote Config)	Yes (Remote Config)	Yes	No	Yes	Supported via integrations with experimentation tools like AB Tasty, Optimizely, and other experience platforms.
Predictive Analytics	No	Yes (churn, LTV, conversion)	No	Limited	Some predictive features	No	Yes	StoryAI provides AI-generated summaries, insight surfacing, and anomaly detection across all retroactive behavioral data.
Monetization Tracking	IAP, ad revenue, GameIntel	Yes	IAP + Unity Ads	Via AdMob integration	E-commerce, revenue	No	Yes	No dedicated revenue dashboards, but funnels and event paths can be mapped to business KPIs.
Debugging & Technical Insights	Limited	No direct logs	Limited	No detailed logs	No logs	Standard logs	Operational insights	Complete console and network logs, accurate heatmaps, and correlation between errors and user behavior.
Data Export / APIs	Yes	Yes (API, warehouse-native)	Yes (limited)	Yes	Yes (API, export)	Yes	Yes	Full APIs, integrations, and Fullstory Anywhere for warehouse export, flexible deployment, and activating behavioral data in external systems.
Integration with Tools	Major ad networks, attribution	Data warehouses, BI tools, 3rd party	Unity ecosystem	Google Ads, BigQuery	Extensive (APIs, 3rd party)	Various Tools	iPost email platform, casino marketing tools	Integrates with Salesforce, Zendesk, Amplitude, GA4, Jira, Slack, Segment, Snowflake, BigQuery, and more.
Employee Experience	No	No	No	No	Possible via custom dashboards	No	Operational/employee overlays indirectly	Fullstory Workforce extends analytics to employee-facing tools, helping teams diagnose internal friction and improve operational efficiency.
Data Ownership	Vendor-hosted	Full control (your warehouse)	Unity-hosted	Google-hosted	Vendor-hosted	Self-hosted	Vendor-hosted, AI Platform Control	Vendor-hosted with fine-grained data governance, best-in-class masking, and privacy controls.
Ease of Setup	Plug-and-play, SDKs	Requires warehouse setup, no-code BI	Built-in for Unity projects	SDK integration, easy for mobile	Moderate setup	Self-hosted, more complex	Setup with AI integration support	Fast install with one script or SDK; immediate behavioral insights with no manual tagging.
Compliance & Privacy	GDPR compliant	Full compliance, data governance	GDPR tools for opt-out	GDPR, CCPA, HIPAA	GDPR, CCPA	Strong focus on GDPR, data control	Industry compliance focus, data governance	SOC 2 Type II, GDPR, CCPA, HIPAA-eligible. Includes real-time PII detection (Detections) and a privacy-by-default framework.
Pricing Model	Free entry-level, subscription tiers	Usage or seat-based pricing	Included with Unity	Free with limits, pay for BigQuery usage	Subscription-based	Self-hosting costs only	Custom pricing, enterprise-focused	Quote-based and aligned to volume, usage, and enterprise requirements.
Notable Customer Testimonials	Positive for ease of use and ad benchmarking	Strong for democratized analytics and predictive insights	Popular with Unity developers	Widely used in iGaming for acquisition and behavior analysis	Valued for advanced reporting and visualization	Preferred for privacy-conscious operators	Praised for AI-driven uplift and operational efficiency	Customers highlight its ability to uncover hidden friction, resolve technical issues faster, and improve both customer and employee digital experiences.
Unique Features	Ad benchmarking, plug-and-play integration	Warehouse-native, self-service BI, predictive analytics	Native Unity integration, remote config	Cross-platform user journey tracking	Real-time operational dashboards	Full data ownership, self-hosting	AI-Powered real-time alerts, unified platform	DOM-level auto-capture, frustration detection, StoryAI, console + network logs, Fullstory Anywhere for flexible deployment and activation, and Fullstory Workforce for digital employee experience analysis.

Pros, Cons & Unique Features

Google Analytics 4 (GA4)

• Pros:
  • Comprehensive event-based tracking for detailed player behavior insights.
  • Excellent at tracking player acquisition sources and marketing campaign effectiveness.
  • Integrates well with Google Ads for conversion tracking.
• Cons:
  • Complexity can be challenging for inexperienced users.
  • Data sampling in large datasets may reduce precision.
• Unique Features:
  • Event-based tracking system capturing multi-platform interactions.

Microsoft Power BI

• Pros:
  • Powerful data visualization and dashboard creation.
  • Advanced KPI and revenue reporting tailored for iGaming metrics.
  • Real-time operational dashboards for swift issue detection.
• Cons:
  • Steep learning curve and complex setup.
  • Performance issues with extensive real-time data require optimization.
• Unique Features:
  • Custom player segmentation based on betting habits and spending.

Matomo

• Pros:
  • Strong focus on privacy and data ownership.
  • Self-hosted option for compliance with GDPR and other regulations.
• Cons:
  • Less cloud integration compared to GA4 and Power BI.
• Unique Features:
  • Full control over player data for regulated markets.

Fullstory

Pros:

• Auto-captures every interaction with no tagging, even for SPAs and dynamic content.
• High-fidelity session replay paired with heatmaps, conversion funnels, and journey mapping.
• Strong engineering value with full console and network logs.
• StoryAI surfaces insights, anomalies, and summaries across retroactive data.
• Fullstory Anywhere enables flexible deployment and data activation in enterprise stacks.
• Fullstory Workforce gives visibility into internal tools and employee friction.
• Privacy-by-default design with real-time PII detection.

Cons:

• Premium pricing at a large scale.
• Requires governance for massive datasets in high-traffic environments.
• Not a full substitute for BI platforms or revenue analytics.

Unique Features:

• DOM-level auto-capture with no tagging or zone remapping required.
• Frustration signals, anomaly detection, and deep technical logs.
• StoryAI for automated insights and summaries.
• Fullstory Anywhere for flexible deployment models and activating behavioral data in external systems.
• Fullstory Workforce for diagnosing internal friction and digital employee experience issues. 

GameAnalytics

• Pros:
  • Easy setup, free entry-level option.
  • Prebuilt dashboards for retention, monetization, and funnel analysis.
  • Real-time segmentation and ad benchmarking.
• Cons:
  • May lack depth for large-scale or complex infrastructures.
• Unique Features:
  • Ad monetization benchmarking against market averages.

Mitzu.io

• Pros:
  • Warehouse-native analytics with no data movement.
  • Real-time and predictive insights including churn and LTV.
  • Self-service BI, no SQL required.
• Cons:
  • Requires existing cloud data warehouse setup.
  • Pricing may be high for small-scale teams.
• Unique Features:
  • Direct integration with data warehouses like BigQuery and Snowflake.

Unity Analytics

• Pros:
  • Built-in for Unity engine, no extra SDKs needed.
  • Real-time data on player journeys and monetization.
  • Remote config and A/B testing capabilities.
• Cons:
  • Limited flexibility for multi-platform or non-Unity games.
  • Some users report bugs and slow customer service.
• Unique Features:
  • Native integration with Unity Ads and game development tools.

Google Analytics for Firebase

• Pros:
  • Cross-platform tracking for mobile and web.
  • Automatic event tracking and easy integration with Google services.
  • Cost-effective for moderate scale.
• Cons:
  • Sampling issues with large datasets.
  • A/B testing cooldown periods.
• Unique Features:
  • Tight integration with Google Cloud and BigQuery export.

Mixpanel

• Pros:
  • Powerful event tracking and funnel analysis.
  • Cohort and retention reports.
  • A/B testing and messaging tools for engagement.
• Cons:
  • Can be expensive.
  • Some predictive features limited.
• Unique Features:
  • Designed for non-engineers to analyze player behavior without coding.

These tools address key gambling business analytics needs, including player behavior tracking, marketing effectiveness, real-time insights, privacy compliance, and scalability. Each tool suits different business sizes and technical capabilities. Integrations like GA4 with Power BI offer comprehensive analytics ecosystems.

(Sources: Altenar https://altenar.com/blog/choosing-the-right-analytics-tools-for-your-igaming-project, Mitzu https://www.mitzu.io/post/top-5-gaming-analytics-tools-to-use, Keewano https://keewano.com/blog/best-game-analytics-solutions)

Pricing Models

• Google Analytics 4 (GA4): Free tier with pay-as-you-go pricing for advanced usage and integration with Google Ads.
• Microsoft Power BI: Subscription-based pricing with various plans depending on user count and features.
• Matomo: Offers self-hosted option with one-time or annual license fees and cloud-hosted subscription plans.
• GameAnalytics: Free for up to 2 million monthly active users (MAUs); Pro plans start at $299/month with usage-based fees for higher volumes.
• Mitzu.io: Seat-based pricing (e.g., around $12,000/year for 10 managers) with no extra cost for more events or users; total cost including data warehousing is typically lower than traditional solutions.
• Unity Analytics: Free with premium options offering advanced features.
• Firebase Analytics: Free tier (Spark); pay-as-you-go for advanced usage (Blaze).
• Mixpanel: Offers tiered subscription plans based on data volume and features.
• SharpRank (Sports Betting Analytics): Subscription-based model targeting B2B and B2C segments.
• Gaming Analytics Inc (Casino AI Analytics): Pricing details not explicitly stated but likely subscription or custom pricing based on demos and enterprise solutions.
• Fullstory: Quote-based and aligned to volume, usage, and enterprise requirements. Free plan available with FullstoryFree.

Key Features

• CRM automation with hyper-personalized messaging and automated workflows (Smartico.ai)
• Gamification tools including free-to-play mini-games, loyalty programs, and dynamic bonuses (Smartico.ai)
• Bonus engine for tailored reward systems optimizing bonus costs (Smartico.ai)
• Customizable jackpots for enhanced revenue streams (Smartico.ai)
• AI-driven predictive modeling for player behavior, churn prevention, and lifetime value estimation (Smartico.ai)
• Real-time tracking and reporting for affiliate marketing performance (Scaleo)
• Customizable commission structures for diverse affiliate needs (Scaleo)
• Seamless integration with payment providers and iGaming APIs (Scaleo)
• Advanced fraud detection and security features (Scaleo)
• User-friendly interface simplifying affiliate management (Scaleo)
• Prebuilt dashboards for retention, player progression, monetization, and funnel drop-off (GameAnalytics)
• Real-time event tracking and user segmentation (GameAnalytics)
• Ad benchmarking against market averages (GameAnalytics)
• Warehouse-native analytics platform with direct data warehouse integration (Mitzu.io)
• Self-service BI for non-technical users to build dashboards and analyze data without SQL (Mitzu.io)
• Predictive analytics models for churn, lifetime value, and conversion probabilities (Mitzu.io)
• Built-in Unity Analytics for live data on player journeys, level progression, and in-app purchases (Unity Analytics)
• Integration with Unity Ads for monetization insights (Unity Analytics)
• Firebase Analytics with cross-platform tracking and seamless Google integrations (Firebase Analytics)
• Mixpanel features including funnel analysis, cohort and retention reports, user segmentation, A/B testing, and messaging tools (Mixpanel)
• Sportsbook software features including real-time odds management, event management, bet tracking, and scalable infrastructure (Limeup)
• Multi-platform software support including mobile, online, and retail (Limeup, BR Softech)
• Advanced analytics for sportsbook platforms (BR Softech)
• High-performance APIs and reporting tools for sportsbook management (Arland)
• DOM-level auto-capture, frustration detection, StoryAI, console + network logs, Fullstory Anywhere for flexible deployment and activation, and Fullstory Workforce for digital employee experience analysis. (Fullstory)

Customer Testimonials & Case Studies

Gaming Analytics Inc is a leading provider of AI-driven analytics solutions for gambling businesses, empowering casino operators to improve operations and reduce errors. Notable testimonials include:

• Eric Barbaro, General Manager at Chicken Ranch Casino, praised the tool for practically eliminating costly $50,000 ‘fat finger’ errors and ensuring operational precision.
• Josh Siler, Assistant General Manager at Downstream Casino Resort, described Gaming Analytics as the “Google search for casinos,” providing instant, precise information.
• Gregory DiVincent, VP of Marketing at Gulfstream Park, highlighted its innovative AI capabilities to predict customer lifecycle stages such as declining, high-risk, and churn, emphasizing ease of use.
• Mike Altizer, Executive Director Of Casino Operations at Sahara Las Vegas, commended the product’s scalability and excellent customer support.

These testimonials showcase real-world benefits such as error reduction, operational efficiency, predictive insights, and strong support, illustrating how analytics tools solve common challenges in the gambling industry. (GamingAnalytics.ai)

Industry Use Case Scenarios

Gaming Analytics provides several use case scenarios for gambling businesses, particularly casinos, to solve typical industry challenges:

1. Slot Machine Performance Optimization: Casinos like Ocean Casino use Gaming Analytics to analyze slot machine performance data such as win/loss percentages, payout rates, and customer behavior. This helps optimize slot machine selection, improve vendor communication, and increase revenue.
2. Time and Efficiency Savings: Manual reporting processes that took over 20 hours monthly are replaced by automated, real-time reports generated by Gaming Analytics, freeing staff to focus on higher-value tasks and reducing human error.
3. Real-Time Insights for Decision Making: The platform provides instant, up-to-the-minute insights that enable casinos to identify trends and opportunities quickly, avoiding missed opportunities and competitive disadvantages.
4. Marketing and Promotion Optimization: Analytics help casinos understand which promotions and offers effectively drive player behavior, allowing for optimized marketing spend and increased revenue.
5. Vendor Relationship Improvement: Data-driven decision-making supported by analytics helps casinos make informed slot machine purchasing decisions, monitor machine performance for predictive maintenance, and personalize gaming experiences to player preferences.
6. Customized Dashboards: Casinos utilize dashboards for player lifetime value, slot machine performance projection, player segmentation, slot machine profitability, and overall revenue and profitability analysis to make informed operational and strategic decisions.

These scenarios demonstrate how analytics tools like Gaming Analytics solve common challenges in the gambling industry by improving operational efficiency, enhancing player engagement, optimizing marketing, and driving revenue growth through data-driven decisions. (gaminganalytics.ai)

How to Select the Right Tool

When selecting analytics tools for gambling businesses, start by clearly defining your business goals such as player acquisition, retention, or revenue optimization. Prioritize tools that offer deep insights into player behavior, real-time analytics, and comprehensive reporting. Ensure the tool integrates seamlessly with your existing platforms like CRM and marketing software for unified data views. Consider scalability to support business growth and evolving analytics needs. Choose user-friendly tools with strong customer support and training resources. Security and regulatory compliance (e.g., GDPR) are critical in gambling, so select tools with robust data protection. Leverage specialized features like AI-driven insights, player segmentation, and gamification to boost engagement. Real-time dashboards enable swift operational decisions. Understand pricing models to align with your budget and scale. Finally, request demos or trials to evaluate fit before committing. These steps help gambling businesses confidently select analytics tools that deliver actionable insights and support sustainable growth.

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