# Product Requirement Document: TikTok Programmatic Data Collection

# I. Overview and Goal

This document outlines the requirements for programmatically collecting key performance metrics from TikTok for creator and trend analysis. The primary goal is to establish a reliable, automated data pipeline to inform content strategy, identify emerging trends, and measure creator performance effectively against competitive platforms.

# II. Key Data Requirements

The data collection initiative is segmented into two primary areas: Creator-Level Performance and Daily Trend Tracking.

## A. Creator-Level Metrics

We require rolling 7-day median performance data for individual creators to assess sustained engagement and influence. Calculating the median over a seven-day window provides a more stable metric, less susceptible to single-video virality spikes.

**Required Creator Metrics (7-Day Median):**

* Views  
* Likes  
* Comments  
* Shares  
* Average Engagement Rate (calculated as a function of likes, comments, and shares relative to views)

## B. Daily Trend Tracking Metrics

We require daily volume and engagement data, broken down by sound/song, to track the velocity and popularity of musical trends across TikTok and Instagram (IG) for competitive analysis. This data is critical for understanding cross-platform trend migration and identifying early signals.

**Required Daily Tracking Metrics (Sound/Song Level):**

* Daily IG creations (total videos published using the sound/song)  
* Daily IG views (total views across all videos using the sound/song)  
* Daily TikTok (TT) creations (total videos published using the sound/song)  
* Daily TikTok (TT) views (total views across all videos using the sound/song)  
* Daily IG comments, likes, and shares (aggregated engagement for the sound/song)  
* Daily TikTok (TT) comments, likes, and shares (aggregated engagement for the sound/song)

# III. Proposed Approach and Technical Considerations

This section will detail the technical architecture, data sources (e.g., API integration, scraping mechanisms), rate limit management, data quality checks, and storage solution for the collected data.

*(Leave this section open for detailed technical planning and architecture design.)*

*How do we define a fanbase in ways other people don’t*   
*Artist development*   
*How do I most effectively reach the audience*