Question: I'm looking for a platform that helps gaming communities increase player engagement and lifetime value through data analysis.

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COHEZION

For a platform that can help gaming communities get more out of each player and maximize lifetime value through data analysis, COHEZION is a good all-in-one option. This community data platform includes tools to analyze community-created data, including community analytics for bug reports, feedback and content. It's got AI-powered workflows to automate bug reporting and feedback, and it can link to project management tools like JIRA, Favro and Trello. COHEZION also includes AI-powered tools to create patch notes and roadmaps, so gaming communities can make data-informed decisions and keep players engaged.

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Getgud

Another good option is Getgud, an AI-powered observability platform that offers real-time insights into game and player behavior. It includes features like querying player and match data, replaying matches, identifying toxic players and creating game analytics reports. Getgud works with a range of game types, including first-person shooters, MOBAs and battle royale games, and requires no client-side integration, so it won't slow down your game. That makes it a good option for gaming communities that want to monitor player behavior and boost engagement.

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GameAnalytics

For an all-in-one analytics option, GameAnalytics is a good option. It offers detailed insights into player behavior across a wide range of game interactions, supporting more than 30 game engines and services. GameAnalytics measures player behavior, game design problems and monetization efforts, so developers can make data-informed decisions to optimize their games. With built-in data security and scalability, it's designed to centralize insights and speed up game development workflows.

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Player XP

Finally, Player XP offers a broad information retrieval system for analyzing player sentiment from online forums and social media. The platform uses machine learning to scrape data from multiple sources and present it in an interactive dashboard, providing a single view of online communities. It lets game developers monitor player sentiment, analyze feedback and prioritize common problems, making it a good option for marketing, production and QA teams.

Additional AI Projects

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FanCraft

Analyze thousands of player reviews in seconds, identify issues, and respond accordingly, converting negative reviews into positive ones and increasing player engagement.

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Quago

Analyzes in-game device sensor data to generate powerful insights and predictions, eliminating blind spots and detecting cheating, churn, and fraud without compromising user privacy.

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Inworld

Build immersive games with real-time AI agents, dynamic game mechanics, and lifelike NPCs that respond to player choices and changing game states.

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Homa

Leverages data-driven tools and insights to help mobile game developers create chart-topping hits with built-in franchise potential through every stage of development.

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Gamelight

Delivers 100% direct gamers traffic through personalized game recommendations, powered by AI-driven analysis of app usage and user behavior.

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Vivox

Enables seamless, real-time communication in multiplayer games across platforms, with advanced features like 3D positional voice chat and accessibility tools.

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CustomerGlu

Launch gamification campaigns in minutes with pre-built templates and customizable journeys, driving user engagement, retention, and conversion without developer involvement.

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Gleap

Collects and analyzes customer feedback through visual bug reporting, live chat, AI-powered bot support, and surveys to inform product development and improve user experience.

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Xtremepush

Unifies real-time data to deliver personalized campaigns, preventing churn and increasing engagement through omnichannel activation and gamification.

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Appier

Predicts and targets high-lifetime-value users, automates campaigns, and optimizes conversions with AI-powered tools for enhanced marketing performance and customer experiences.

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LogRocket

Pinpoint technical and UX problems, measure their impact, and replay sessions to see what went wrong, with AI-surfaced high-impact issues.

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Anecdote

Uncover actionable insights from customer feedback across multiple sources, including reviews, messages, and social media, to inform data-driven product development and decision-making.

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Hex

Unify data teams with AI-assisted exploration, collaboration, and interactive reporting, accelerating data work and improving accuracy in a single, modular workspace.

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CustomerIQ

Automatically extracts and analyzes customer feedback from multiple sources, providing actionable insights to drive revenue and inform product decisions.

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Monterey AI

Automates collection, analysis, and action on customer feedback from various data sources, enabling data-driven decisions and optimized product development.

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Conviva

Fuses real-time user behavior and system activity to provide AI-driven insights and alerting, enabling swift identification and resolution of Quality of Experience problems.

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MoEngage

Personalize omnichannel marketing efforts with AI-optimized interactions, maximizing ROI and delivering tailored customer experiences across multiple touchpoints.

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data.ai

Combines data from multiple signals to provide unified insights, enabling fast and confident decision-making across the entire app lifecycle.

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Contentsquare

Uncover hidden opportunities to boost conversion, retention, and customer satisfaction with AI-powered insights and automated data capture across web and apps.

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Coginiti

Enables teams to create, publish, and consume trusted data products, increasing productivity and speeding up delivery of actionable insights.