NODES 2025 - Knowledge Graph–Driven Feedback Loops to Optimize TikTok Shop Video Marketing

TikTok Shop has rapidly become one of the most important platforms for e-commerce growth, especially among Gen Z consumers. As a result, e-commerce brands are shifting significant attention and ad spend toward TikTok Shop, where short-form video content is directly tied to conversion outcomes. Despite this, most social media marketers still rely on vanity metrics (likes, shares, and follower counts), which often fail to reflect true sales impact. With TikTok Shop now offering video-level sales and gross merchandise value (GMV) data, brands can, for the first time, create a closed-loop marketing system where creative choices can be evaluated and optimized based on actual revenue performance. This session will show how we are creating and evaluating a knowledge-graph–based framework that links TikTok Shop video attributes (hooks, camera shots, script phrasing, voiceovers), audience engagement, and GMV. We will leverage TikTok Shop seller analytics to extract video-level data (hook types, camera shot categories, script phrasing patterns, and voice-over styles) alongside engagement metrics (views, watch time) and sales outcomes (GMV, units sold). These elements will be represented in a Neo4j-based knowledge graph, linking videos, products, and audience segments. To conduct a deep dive into each video’s creative and performance elements, we will use advanced LLMs and multimodal Vision models to analyze video content frame-by-frame. These models will automatically identify and categorize visual, audio, and narrative features, and convert them into structured GraphDB elements, enabling deeper semantic analysis and insight generation. We will test this framework at scale using real TikTok Shop brand data and evaluate pre- vs. post-system performance (including data extraction, modeling, insight delivery, and dashboard interaction) using paired t-tests and time-adjusted regression models. Speakers: Taeyang Kim & David Fagerburg Resources: Get Started with Aura - https://bit.ly/3LOLrjh Deployment Center - https://bit.ly/4jOelM3 Ground AI Systems and Agents with Neo4j - https://bit.ly/4oVsnyb #nodes2025 #neo4j #graphdatabase #graphrag #knowledgegraph