NAM PHƯƠNG 🇻🇳

The account @namphuong25.12 has 4.1 million followers, reflecting substantial scale. With an average of 456,570 views per video and 2,496 total videos, the account demonstrates consistent reach across its content library. The 1.92% engagement rate indicates moderate audience interaction relative to its follower base.

@namphuong25.12 has a substantial follower base of 4.1 million, which provides a broad audience for content. The account’s average likes per video (8,423) indicate strong popularity, as this figure is significantly higher than the average for accounts with similar follower counts. However, the overall engagement rate of 1.92% suggests that while the content is well-received, the total interactions (likes, comments, shares) account for only 1.92% of the follower base. This rate is slightly below the typical benchmark for high-performing accounts, which often hover around 2–3%. Audience interaction patterns reveal a disparity in engagement types. While likes dominate (8,423 per video), comments (130 per video) and shares (226 per video) are comparatively lower, indicating that the audience may prefer passive consumption over active participation. The ratio of likes to comments (64.8:1) and likes to shares (37.6:1) highlights a potential gap in fostering deeper engagement. This could imply that the content is optimized for virality through likes but may lack elements that encourage discussion or redistribution, such as calls-to-action or interactive prompts. The metrics suggest that the content resonates well with the audience in terms of reach and popularity, as evidenced by the high likes per video. However, the lower comment and share rates may indicate opportunities to refine content strategies to encourage more interactive engagement. For instance, incorporating questions, polls, or challenges could stimulate comments, while emphasizing key takeaways might increase shares. The 1.92% engagement rate, while moderate, is consistent with accounts of similar scale, but further analysis of video-specific metrics (e.g., video length, posting frequency) would be needed to identify precise optimization opportunities.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The content strategy for @namphuong25.12 cannot be analyzed due to insufficient data on primary content categories. Without this information, it is impossible to determine the specific focus areas or thematic priorities of the account. Additionally, video definition data is not available, which limits insights into the technical quality or visual consistency of their content. These gaps prevent a comprehensive evaluation of how the account structures its content or aligns with audience preferences. Thematic consistency and strategic use of categories/hashtags cannot be assessed due to the absence of relevant metrics. The lack of top hashtags further restricts understanding of how the account leverages trending topics or audience engagement tactics. Without this data, it is not possible to evaluate whether the content strategy aligns with platform algorithms, audience interests, or competitive benchmarks. The account’s approach to categorization and hashtag usage remains undetermined based on the current dataset.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio