ناصر الشمري | Alshammri

The account @_n88 has 32,200 followers and an average of 816,214 views per video, indicating substantial reach across 101 published videos. With a total of 1.6 million likes, the account achieves an engagement rate of 3.44%, reflecting strong audience interaction relative to its follower base.

The @_n88 account demonstrates strong engagement metrics, with 32,200 followers and an average of 25,933 likes per video. This places the account in the top tier of TikTok creators, as the average likes per video significantly exceed typical benchmarks. The overall engagement rate of 3.44% indicates that approximately 3.44% of followers interact with each video, which is above the platform’s general average. However, this rate appears inconsistent with the raw engagement numbers, as the sum of likes, comments, and shares (25,933 + 310 + 1,812 = 28,055) would imply a much higher engagement rate (e.g., ~87.1% if calculated per video). This discrepancy suggests either a miscalculation in the provided engagement rate or a unique metric definition. Audience interaction patterns reveal a clear preference for visual engagement over textual interaction. The 25,933 likes per video dominate the metrics, far surpassing the 310 comments and 1,812 shares. This imbalance may indicate content that prioritizes aesthetic appeal or emotional resonance, such as trending challenges or high-energy performances, which drive rapid, passive engagement. The 1,812 shares per video, while lower than likes, still reflect a substantial portion of the audience actively redistributing content, suggesting viral potential or niche community alignment. The metrics collectively indicate that @_n88’s content resonates strongly with its audience, particularly through high-impact visuals and relatable themes. The combination of likes and shares suggests the content is both emotionally engaging and shareable, while comments, though fewer, indicate some level of audience dialogue. However, the inconsistency between the overall engagement rate and raw metrics highlights a need for clarification on how the 3.44% was calculated, as it does not align with the observed engagement volume.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

@_n88's content strategy is heavily centered around TikTok's algorithmic discovery mechanisms, with 72% of their top hashtags (35+ uses) directly tied to the For You Page (FYP) ecosystem. The dominant hashtags #explore, #fyp, #fypage, and #foryou collectively account for 112 uses, reflecting a deliberate focus on maximizing visibility through TikTok's core discovery tools. This strategy aligns with platform trends, as these tags are frequently used to signal content relevance for algorithmic prioritization. The inclusion of localized Arabic hashtags (#حفرالباطن, #حفر_الباطن) suggests a potential regional or community-specific audience targeting, though content categories remain unspecified. Thematic consistency is evident in the strategic repetition of FYP-related tags, which may indicate an attempt to align content with TikTok's trending discovery protocols. The disparity in hashtag frequency (e.g., #explore used 35x vs. #viralvideo used 1x) suggests a prioritization of broad algorithmic engagement over niche virality. While the absence of content categories limits deeper thematic analysis, the heavy reliance on FYP tags implies a focus on scalable, algorithm-friendly content. The local hashtags may serve dual purposes: either community engagement or geo-targeted visibility, though without content samples, their exact role remains unverified.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio