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What game companies can learn from AI analysis of 1.5M gamer conversations | Creativ Company
- Creativ Company uses AI for sentiment analysis on 1.5 million gamer conversations about top game publishers and titles, taking 10 days to analyze data from various sources over six months.
- The company reinvents consumer insights using large-language models (LLMs) to understand gamer sentiments and context, detecting sarcasm and slang nuances in conversations.
- Traditional sentiment analysis lacked understanding of gamers, but LLMs provide a better grasp of complexities and nuances in gamer discussions across multiple platforms.
- Creativ found insights like fans' displeasure over actor Henry Cavill's dismissal in The Witcher show affecting sentiment, highlighting the impact of external factors on game franchises.
- The AI-driven sentiment analysis helps identify how game publishers influence their brand perception among gamers, focusing on topics like exclusives, monetization practices, and industry trends.
- Gamers preferred open communication on monetization and disliked poor practices by publishers like Activision Blizzard and Ubisoft, fostering negative sentiments around certain companies.
- LLMs enable detailed analysis of gamer conversations, capturing natural exchanges without alerting gamers to being surveyed, providing more authentic insights.
- The study revealed strong opinions on exclusives and platform strategies, with gamers preferring not to have premium games exclusive to specific platforms to enhance sales.
- The analysis highlighted common discussion topics like game franchises, platforms, monetization, and industry trends, offering insights on consumer perceptions and preferences.
- LLMs can swiftly process data, offering quick and detailed analysis of sentiment around various game publishers, allowing for rapid adjustments based on feedback from gamers.
- The use of AI-driven sentiment analysis by Creativ showcases the evolving landscape of market intelligence in the gaming industry, providing deeper insights into consumer sentiments and preferences.
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