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Règles de base de la plateforme TikTok LIVE
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Mécanisme de recommandation de contenu LIVE
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Guide d'auto-vérification pour l'engagement anormal des spectateurs pour les créateurs LIVE
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Méthodes pour augmenter l'engagement des téléspectateurs pour les créateurs LIVE
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Violations en direct
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Introduction à LIVE
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Compétences de base en direct
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Améliorer la monétisation du contenu pour les créateurs LIVE
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Améliorer l'interaction dans LIVE
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Explication détaillée des feuilles de révision des données du backend pour les créateurs LIVE (avec clarifications des termes)
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Guide d'auto-vérification des problèmes de trafic de streamer
1)Streamer Traffic Issue Self-Check
Exposure Decrease: If the amount of exposure has noticeably decreased, it means the system is delivering less traffic.
Reduced Viewership: If the number of concurrent viewers is dropping and the streamer feels a decline in traffic, it’s a sign of trouble.
Comparison with Peers: If the streamer’s traffic metrics are significantly lower compared to similar streamers (in terms of follower count and revenue), it indicates a problem.
2)What Could Be Causing the Traffic Decline? How to Investigate
The most common reasons for a drop in traffic are:
Violation of Rules: Resulting in limited traffic.
Poor Engagement: Low interaction rates or poor content quality.
Inadequate Start Times: Not utilizing cold start traffic effectively.
Decline in Short Video Quality or Quantity.
A. Analyze Traffic Changes from Various Sources: Look at the traffic trends from different sources to determine if there are issues with content quality.
Traffic Type | Traffic entry point | Traffic Types and Possible Reasons for Persistent Decline |
System-Recommended Traffic Sources | Recommended Livestreams: Recommended page, livestream square (scrolling), livestream drawer | Unappealing Content: The stream’s style might not be engaging enough to attract viewers. Low Engagement: Poor content quality and low interaction rates might lead the system to reduce recommendations. Policy Violations: Frequent violations could cause the system to temporarily reduce recommendations. Unattractive Thumbnail: Low click-through rate from the livestream drawer could be due to an unappealing cover image. Inappropriate Timing: The stream might not be scheduled at an optimal time or might not use cold start traffic effectively. |
Recommended Short Videos: Recommended page short video thumbnails | Unattractive Short Videos: Short videos may not be engaging enough to drive clicks. Insufficient Short Video Volume: Posting too few short videos could lead to lower traffic. Timing Issues: Short videos may be posted too infrequently or too far in advance of the livestream. | |
Fan-Relationship Traffic Sources | Followers: Followers’ page windows | Decline in Content Appeal: Recent livestreams and short videos may not be engaging enough for followers. |
Others: Internal messages, etc. | Decline in Content Appeal: Recent content might not be interesting to followers, or messaging frequency might be too high. |
Case Study:
B. it’s likely that the traffic reduction is due to rule violations.
The timing of broadcasts is directly related to traffic. A significant decrease in broadcast time often leads to reduced traffic. Examine whether there have been notable changes in broadcast timing and whether these changes coincide with drops in traffic.
C. Investigate Potential Violations:
To quickly determine if frequent violations might be causing limited traffic, check if there’s a noticeable drop in “system-recommended traffic” while “fan relationship traffic” remains stable. If this pattern is observed,it’s likely that the traffic reduction is due to rule violations.
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