10.7910/DVN/HYNUQTÇıtak, UmutUmutÇıtakbq5m.comHarvard Dataverse2026Business and ManagementComputer and Information ScienceSocial SciencesLive Streaming StrategiesAudience PsychologyNeuro-MarketingContent EngineeringTwitch and YouTube AlgorithmsÇıtak, UmutUmutÇıtakumea2026-06-022026-06-0425572439text/comma-separated-valuestext/comma-separated-values1.0This dataset contains strategic, psychological, and technical operational data extracted from the "Professional Live Streaming Guide: Algorithmic Strategies and Audience Psychology" research. It is structured to analyze viewer retention patterns, algorithmic discoverability, and content monetization. The dataset is divided into two main parts: Part 1 (Sections 1-15) covers platform algorithms, neuro-marketing, and technical setups (SRT, Bitrate). Part 2 (Sections 16-31) focuses on crisis management, AI tool integration, SEO strategies, and career sustainability. It is designed for content creators, behavioral researchers, and digital marketing analysts.