The Scientific Principles and Applied Value of the TikTokAlyzer Scoring System
Video performance scoring is the core function of TikTokAlyzer, using a quantitative evaluation system of 0-100 points. The score combines 12 key metrics, including viewing completion rate, interactive conversion rate, sharing willingness index, etc., and calculates the final score by weighting the metrics through a machine learning model. 60 points represents the benchmark level, and 80 points or more indicates that the video has the potential to go viral.
- Content Dimension Analysis: Evaluate video creativity, pacing and narrative structure.
- Technical Dimension Analysis: Consideration of picture clarity, soundtrack matching and subtitle readability
- Social Dimension Analysis: Measuring topic buzz, quality of interaction and comment section activity
In practical application, a food account improved the average rating from 56 to 78 by improving the design of the beginning of the video, and the account's monthly increase in fans increased by 320%.
This answer comes from the articleTikTokAlyzer: an AI tool for analyzing short video performanceThe