Affogata is an AI-driven player feedback analytics platform that utilizes natural language processing and sentiment analysis to aggregate and interpret player insights from various sources, including social media and community forums. This technology enables game studios to efficiently analyze player sentiment and make data-driven product decisions, ultimately enhancing player experience and increasing return on investment.
Funding
Funding not disclosed
DLFounders
Product
Problem
Game studios often struggle to efficiently process and understand the vast amounts of player feedback scattered across various platforms. Manually sifting through social media, community forums, and ticketing systems to identify key issues and sentiment trends is time-consuming and prone to bias. This makes it difficult to make informed decisions about game development and player experience improvements.
Solution
Affogata offers an AI-driven player feedback analytics platform that aggregates and analyzes player insights from diverse sources. Using natural language processing (NLP) and sentiment analysis, the platform extracts accurate sentiment, even for gamer-specific lingo and sarcasm. The AI-Driven Analyst feature uses large language models (LLMs) to quickly identify critical information, eliminating the need for manual searching and report creation. This enables game studios to efficiently understand player sentiment, identify pain points, and make data-driven decisions to enhance player experience and increase ROI.
Target Audience
The primary target audience includes game studios, community managers, player experience managers, and product officers who need to understand player sentiment and make data-driven decisions about game development.
Features
- Comprehensive data collection from community forums, social media, and ticketing systems
- Proprietary gaming-centric sentiment engine for accurate sentiment analysis of gamer language
- AI-Driven Analyst that uses NLP and LLMs to surface key insights from player feedback
- Customizable alerts to notify teams of critical issues and sentiment changes
- Granular analysis capabilities to zoom in on the root causes of overall sentiment scores
- Ability to compare feedback across different platforms (Community, Social Media and Player Experience)