Affogata

Affogata is an AI-driven player feedback analytics tool that, according to the vendor, provides valuable insights into player feedback for game studios, mobile app developers, consumer goods companies, insurtech companies, and fintech and crypto companies. With its advanced AI capabilities, Affogata aims to help these businesses analyze and understand player sentiment, compare feedback from different channels, gain insights from Discord and Facebook groups, set up alerts for specific topics, and integrate with Helpshift's In-Game Player Support for real-time product optimization. Affogata is positioned as a comprehensive solution for leveraging player feedback to improve products and services in various industries.

Key Features

AI-Driven Player Feedback Analytics: According to the vendor, Affogata offers AI-driven player feedback analytics for game studios, enabling them to support their theories and gain more accurate insights from the collected feedback. The tool aims to assist teams in understanding player sentiment and drilling down on their experiences.

Granularity: Affogata is designed to provide a high level of granularity in analyzing player feedback, allowing users to zoom in on the roots of the overall sentiment score. The vendor claims that it provides both quantitative and qualitative data, which can be used to derive actionable insights and forms the core of sentiment analysis.

Comparison of Feedback: The vendor states that Affogata enables confident comparison of feedback received from different channels, including community, social media, and player experience feedback. It aims to provide users with numbers or a scale of urgency to support shared feedback, helping teams efficiently navigate through communities, social media platforms, and reviews.

Insights into Discord & Facebook Groups: Affogata claims to offer insights into Discord and Facebook Groups, allowing users to explore specific topics and understand sentiment around them. The tool aims to facilitate deep dives into specific topics with less effort and reduce biases regarding sentiment toward those topics.

Alerts: Affogata allows users to create alerts for specific topics, aiming to help them stay updated on the sentiment surrounding those topics. The vendor claims that this feature facilitates monitoring and responding to player feedback in a timely manner, assisting in understanding changes in sentiment over time.

Podcast: Affogata's "Let's Talk Player Feedback" podcast features industry-leading gaming companies sharing insights on leveraging player feedback. Hosted by Caro Solari, Head of Marketing at Affogata, the podcast covers topics such as integrating player voice into the product cycle and identifying insights that can drive success.

AI-Driven User Feedback Analytics for Mobile Apps: According to the vendor, Affogata extends its AI-driven user feedback analytics beyond the gaming industry, offering insights for mobile app developers and publishers. It aims to help them collect and analyze customer feedback for better product planning and optimization.

Consumer Goods Feedback Analysis: Affogata aims to assist consumer goods companies in collecting and analyzing customer feedback to improve their products. The vendor claims that by understanding customer sentiment, companies can make informed decisions for better product development and customer satisfaction.

Insurtech and Fintech Feedback Analysis: Affogata caters to insurtech and fintech companies, providing them with the means to analyze customer feedback for improving their platforms and services. The vendor states that by identifying pain points and areas of improvement, companies can enhance their customer experience and drive growth.

Integration with Helpshift: Affogata integrates with Helpshift's In-Game Player Support, combining the power of AI-Driven Player Feedback Analytics with Helpshift's support platform. The vendor claims that this integration enables real-time product optimization, predictive issue routing, and resolution. Affogata and Helpshift aim to harmonize taxonomy between the systems for data-driven decision-making.