PlayerXP | Player Sentiment Analysis
PlayerXP Feature

Player Sentiment
Analysis

Connect to Socials and Surveys. Industry leading 92% accuracy. Hear the silent majority through a unified feedback engine.

Request Listening Audit
Over 1 Billion Messages Analysed
Player Sentiment Analysis Dashboard

Hear the Silent Majority

Trained on over 1 billion data points in games language and terminology, PlayerXP understands the feedback that drives player retention.

92% Accuracy

Market-leading precision in gaming sentiment. Our models are retrainable based on the unique needs of your specific game, ensuring terminology like "nerfs" and "buffs" are never misread.

Flatten Average

Silence the loud minority. Our tool gives every player exactly one sentiment score, ensuring that a small group of vocal users doesn't skew your community data or product decisions.

Socials & Surveys

Connect to Socials and Surveys instantly. Compare what your core community is saying against broader social trends and internal NPS data in one unified dashboard.

Retrainable AI

Customize the model to recognize your game's specific character names, items, and jargon with total accuracy.

Report Errors

Found a sentiment error? Report it directly in the tool to instantly refine the model for your player base.

1B Data Points

Built on a decade of gaming conversations, our AI understands context, slang, and intentional misspellings.

Instant Insights

Use PlayerXP Bot to get real-time responses on what your community is saying and wanting at any moment.

Engineered for
Actionable Data.

Don't just watch your community understand it. PlayerXP provides the only listening engine built specifically for the high-velocity world of game development.

The Flatten Average Advantage

Identify the silent majority who enjoy the game but don't post hundreds of times. We normalize the data to reflect your true community health.

Survey & Social Unification

Ingest raw survey data alongside social mentions to see the full lifecycle of player feedback in one unified, context-aware view.