<!doctype html><html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" prefix="og: http://ogp.me/ns#"> <head> <meta charset="utf-8"> <meta name="applicable-device" content="pc,mobile"> <meta name="viewport" content="width=device-width, initial-scale=1"> <title>Predictive Analytics in Game Marketing: Forecasting Trends with Big Data #161663699689 (2025-01-31)</title> <link rel="canonical" href="https://blog-8903457216.mit-edu.top/post/9861732045"> <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;700&display=swap"> <link rel="stylesheet" href="https://x.mit-edu.top/static/css/style.css"> <script src="https://x.mit-edu.top/static/js/lazysizes.min.js" async></script> <link rel="shortcut icon" href="/favicon.ico"> <!-- Open Graph Metadata --> <meta property="og:type" content="article" /> <meta property="og:title" content="Predictive Analytics in Game Marketing: Forecasting Trends with Big Data" /> <meta property="og:description" content="Predictive Analytics in Game Marketing: Forecasting Trends with Big Data #161663699689 (2025-01-31)" /> <meta property="og:url" content="https://blog-8903457216.mit-edu.top/post/9861732045" /> <meta property="og:site_name" content="mit-edu.top" /> <meta property="og:image" content="https://x.mit-edu.top/static/images/post/5.jpg" /> <meta property="og:article:published_time" content="2025-01-31T12:47:49Z" /> <meta property="og:article:author" content="Dr. Lisa Walker" /> <meta property="og:article:section" content="mit-edu.top" /> <meta property="og:article:tag" content="Games, Mobile Games, Video Games" /> <!-- Schema.org --> <script type="application/ld+json">{ "@context": "https://schema.org", "@type": "ScholarlyArticle", "headline": "Predictive Analytics in Game Marketing: Forecasting Trends with Big Data #161663699689 (2025-01-31)", "author": { "@type": "Person", "name": "Dr. Lisa Walker", "affiliation": { "@type": "Organization", "name": "mit-edu.top" }, "url": "https://blog-8903457216.mit-edu.top/post/9861732045" }, "datePublished": "2025-01-31T12:47:49Z", "image": "https://x.mit-edu.top/static/images/post/5.jpg", "journal": { "@type": "Periodical", "name": "mit-edu.top", "issn": "10.1069/161663699689" }, "publisher": { "@type": "Organization", "name": "mit-edu.top", "url": "https://blog-8903457216.mit-edu.top" }, "doi": "161663699689", "abstract": "Predictive Analytics in Game Marketing: Forecasting Trends with Big Data #161663699689 (2025-01-31)", "citation": { "@type": "CreativeWork", "name": "Predictive Analytics in Game Marketing: Forecasting Trends with Big Data", "author": "Dr. Lisa Walker", "datePublished": "2025-01-31T12:47:49Z", "url": "https://blog-8903457216.mit-edu.top/post/9861732045" } } </script></head> <body> <div class="site-mobile-menu site-navbar-target"> <div class="site-mobile-menu-header"> <div class="site-mobile-menu-close"> <span class="icofont-close js-menu-toggle"></span> </div> </div> <div class="site-mobile-menu-body"></div> </div> <nav class="site-nav"> <div class="container"> <div class="site-navigation"> <div class="row"> <div class="col-md-6 text-center order-1 order-md-2 mb-3 mb-md-0"> <a href="https://blog-8903457216.mit-edu.top" class="logo m-0 text-uppercase">mit-edu.top</a> </div> <div class="col-md-3 order-3 order-md-1"> </div> </div> </div> </div> </nav> <div class="section post-section pt-5"> <div class="container"> <div class="row justify-content-center"> <div class="col-lg-8"> <div class="text-center"> <img src="https://x.mit-edu.top/static/images/user/8.jpg" alt="Predictive Analytics in Game Marketing: Forecasting Trends with Big Data" title="Predictive Analytics in Game Marketing: Forecasting Trends with Big Data" class="author-pic img-fluid rounded-circle mx-auto"> </div> <span class="d-block text-center">Lisa Walker</span> <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-01-31</span> <h2 class="heading text-center">Predictive Analytics in Game Marketing: Forecasting Trends with Big Data</h2> <p class="lead mb-4 text-center">Thanks to Lisa Walker for contributing the article "Predictive Analytics in Game Marketing: Forecasting Trends with Big Data". </p> <img src="https://x.mit-edu.top/static/images/post/5.jpg" alt="Predictive Analytics in Game Marketing: Forecasting Trends with Big Data" title="Predictive Analytics in Game Marketing: Forecasting Trends with Big Data" class="img-fluid rounded mb-4 lazyload"> <p>Game streaming platforms like Twitch, YouTube Gaming, and Mixer have revolutionized how gamers consume and interact with gaming content, turning everyday players into content creators, influencers, and entertainers. Livestreamed gameplay, interactive chats, and community engagement redefine the gaming experience, transforming passive consumption into dynamic, participatory entertainment.</p><p>This research examines the role of geolocation-based augmented reality (AR) games in transforming how urban spaces are perceived and interacted with by players. The study investigates how AR mobile games such as Pokémon Go integrate physical locations into gameplay, creating a hybrid digital-physical experience. The paper explores the implications of geolocation-based games for urban planning, public space use, and social interaction, considering both the positive and negative effects of blending virtual experiences with real-world environments. It also addresses ethical concerns regarding data privacy, surveillance, and the potential for gamifying everyday spaces in ways that affect public life.</p><p>This paper investigates the impact of user-centric design principles in mobile games, focusing on how personalization and customization options influence player satisfaction and engagement. The research analyzes how mobile games employ features such as personalized avatars, dynamic content, and adaptive difficulty settings to cater to individual player preferences. By applying frameworks from human-computer interaction (HCI), motivation theory, and user experience (UX) design, the study explores how these design elements contribute to increased player retention, emotional attachment, and long-term engagement. The paper also considers the challenges of balancing personalization with accessibility, ensuring that customization does not exclude or frustrate diverse player groups.</p><p>This study applies social network analysis (SNA) to investigate the role of social influence and network dynamics in mobile gaming communities. It examines how social relationships, information flow, and peer-to-peer interactions within these communities shape player behavior, preferences, and engagement patterns. The research builds upon social learning theory and network theory to model the spread of gaming behaviors, including game adoption, in-game purchases, and the sharing of strategies and achievements. The study also explores how mobile games leverage social influence mechanisms, such as multiplayer collaboration and social rewards, to enhance player retention and lifetime value.</p><p>This study investigates how mobile games can encourage physical activity among players, focusing on games that incorporate movement and exercise. 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