Douyin Account Diagnosis

Problem

Douyin account evaluation often stalls on the gap between follower count and real quality. Operations teams, competitive analysts, and brand collab reviewers need a fast, reproducible way to judge account health. Manually pulling profile data, recent post metrics, and audience signals is slow and hard to standardize. This skill reduces the input to an account nickname or ID and returns a structured diagnostic report.

How It Works

• One-step data retrieval: Provide a nickname or Douyin ID to fetch account profile and recent video data.
• Six-dimension diagnosis: Covers profile, productivity, engagement, quality, trend, and fan quality, producing a 100-point score and a four-level rating.
• Risk alerts: Flags zombie followers, fake volume, decline, throttling, posting gaps, and single-video dependency.
• Recent work details: Outputs publish time, title, likes, comments, shares, and total interactions for recent videos, with clickable titles.
• Optimization guidance: Recommends prioritized actions based on weak dimensions and supporting data.

Boundaries

This is useful for account health checks, competitor benchmarking, and collaboration vetting. Nickname matching is fuzzy, so use the full account name when possible. Fields not returned by the platform may appear as unknown. To verify each score, review the referenced scoring rules.