anhtuantran0387

The TikTok account @anh.tuan.tran843 has 521,700 followers and has uploaded 179 videos, demonstrating a substantial scale of content creation. The average video reaches 917,025 views, indicating broad reach across its audience. With a total of 6,400,000 likes, the account achieves an engagement rate of 1.43%, reflecting moderate audience interaction relative to its follower base.

The account @anh.tuan.tran843 has 521,700 followers, with an average of 11,613 likes per video, 187 comments, and 1,276 shares. The overall engagement rate of 1.43% indicates that, on average, 1.43% of followers interact with each video through likes, comments, or shares. This rate is slightly above the typical benchmark for many niches, suggesting the content is moderately effective at driving interaction. However, the engagement rate is lower than the average likes per video, which implies that while the account attracts significant likes, other forms of engagement (comments and shares) are less frequent relative to the follower base. Audience interaction patterns reveal a strong preference for likes over comments or shares. The average likes per video (11,618) are significantly higher than the average comments (187) and shares (1,276), indicating that viewers are more likely to express approval than engage in dialogue or redistribute content. This could suggest the content is visually or emotionally compelling but may lack prompts for deeper interaction. The relatively high share count (1,276) suggests some level of content virality, though it remains lower than the likes, which may reflect the audience’s tendency to engage with content rather than repurpose it. The metrics indicate that the content resonates with the audience in terms of popularity, as evidenced by the high likes per video. However, the lower comment and share rates may signal opportunities to foster more interactive content. For instance, the average comments per video (187) are 62 times lower than the average likes, which could imply that the audience is less inclined to participate in discussions. To enhance resonance, the creator might experiment with formats that encourage dialogue, such as polls, Q&A sessions, or collaborative content, to balance the current engagement dynamics.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The account @anh.tuan.tran843 prioritizes content that aligns with high-traffic hashtags such as #fyp (35 uses), #satisfying (31 uses), and #relax (30 uses), indicating a focus on engaging, calming, or enjoyable content. The frequent use of #asmr (22 uses) suggests a thematic emphasis on auditory stimulation, potentially targeting audiences seeking relaxing or immersive experiences. The hashtags #ice (18 uses) and #snow (17 uses) further narrow the thematic scope to cold-related or winter-themed content, while #foryoupage (7 uses) highlights an intentional strategy to maximize visibility on TikTok’s algorithmic feed. However, the absence of primary content categories limits the ability to confirm whether these hashtags directly correspond to specific video types or themes. Strategically, the account leverages high-traffic hashtags like #fyp and #satisfying to amplify reach, with #satisfying and #relax serving as consistent pillars for audience engagement. The lower frequency of #asmr and niche tags like #dashcam (1 use) suggests experimentation with broader and more specific themes. While the hashtag strategy appears focused on trending and relatable content, the lack of video metrics (e.g., views, engagement rates) prevents assessment of effectiveness. The absence of primary content categories also means the account’s thematic consistency cannot be fully evaluated beyond hashtag usage.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio