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The account @qn_sa2 has 120,700 followers and 1.1 million total likes, reflecting a substantial audience and consistent content appeal. With an average of 165,265 views per video, the content achieves broad reach across its video library of 1,814 posts. The 3.26% engagement rate demonstrates strong interaction relative to its follower base, indicating effective audience connection.

The @qn_sa2 account demonstrates strong engagement metrics, with a notable balance between likes and shares. The average likes per video (2,801) and shares per video (2,500) are both significantly high, indicating that the content is both appreciated and widely disseminated. These metrics suggest that the audience finds the content valuable and shareable, which is critical for virality. However, the average comments per video (82) are relatively low compared to likes and shares, which may indicate that the audience is more passive or that the content format (e.g., visual-centric) does not inherently encourage discussion. The overall engagement rate of 3.26% places the account in the mid-range for TikTok, though it is slightly below the typical 1-5% range for most accounts. This could reflect a niche audience or content that prioritizes visual appeal over interactive elements. The high share rate (2,500 per video) is particularly noteworthy, as shares are a strong indicator of content resonance and audience trust. This suggests that viewers not only enjoy the content but also believe in its value enough to recommend it to others. The likes (2,801 per video) further reinforce that the content is well-received, though the disparity between likes and comments highlights a potential gap in fostering deeper audience interaction. While the account’s follower base (120,700) is substantial, the relatively low comment count may indicate that the audience prefers quick engagement over extended dialogue. This could be intentional, depending on the content type, or it may suggest opportunities to encourage more interactive elements such as polls, questions, or collaborative challenges to boost comment activity. The metrics collectively indicate that @qn_sa2’s content is effective at driving immediate engagement and virality, particularly through likes and shares. However, the low comment rate may limit the depth of audience interaction, which could be a factor in long-term audience retention. The account’s engagement rate of 3.26% is consistent with its follower count and high share activity, but further analysis of content themes or audience demographics would be needed to determine if this is optimal or if adjustments could enhance overall engagement.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The content focus of @qn_sa2 is heavily centered around Ramadan-related themes, with hashtags like #رمضان (used 19x) and #رمضان_زمان (17x) dominating their strategy. These hashtags suggest a strong emphasis on content tied to Ramadan traditions, such as meals, rituals, and cultural practices. Additionally, the account frequently uses hashtags like #فطور_رمضان (4x) and #قهوة (4x), indicating a specific focus on Ramadan breakfast and coffee culture. This aligns with a thematic consistency around food, time-sensitive events, and cultural observances, though the absence of primary content category data limits deeper categorization of these themes. The strategic use of hashtags reflects a deliberate effort to engage audiences during Ramadan, leveraging seasonal relevance and shared cultural experiences. The repetition of time-related hashtags like #زمن_الطيبين (15x) and #زمان_الطيبين (13x) further reinforces a thematic focus on nostalgia, continuity, and temporal markers, which may resonate with viewers seeking comfort or tradition. However, the lack of content category data prevents quantifying how these hashtags align with specific types of posts (e.g., recipes, lifestyle, or storytelling). The hashtag strategy appears concentrated on Ramadan and related topics, suggesting a seasonal or event-driven content calendar.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio