michel_kiwarkis

The account @michel_kiwarkis has 392,600 followers and has posted 441 videos, achieving an average of 844,876 views per video. The engagement rate of 3.26% reflects a strong interaction level, with total likes reaching 3,400,000 across the account’s content.

The account @michel_kiwarkis demonstrates strong engagement metrics, with an average of 17,927 likes per video, 310 comments, and 9,292 shares. These figures indicate a highly interactive audience, particularly in terms of likes and shares, which are both above average for TikTok. The overall engagement rate of 3.26% is notable, as it reflects the proportion of followers engaging with content (likes, comments, shares) relative to the total follower base. While this rate is slightly below the platform’s typical benchmark (which often ranges between 1-3%), the absolute numbers suggest robust engagement. For example, the 9,292 shares per video imply that a significant portion of the audience is actively redistributing content, which is a strong indicator of resonance. Audience interaction patterns reveal a preference for passive engagement (likes and shares) over direct dialogue (comments). The 310 comments per video, while moderate, are consistent with content that prioritizes visual storytelling or entertainment over prompting discussion. This dynamic may indicate that the audience is more inclined to consume and share content rather than engage in deeper conversations. The high share rate, however, suggests that the content is perceived as valuable or shareable, which could be tied to its ability to spark emotional reactions or provide actionable insights. The metrics collectively highlight a content strategy that excels in virality and broad reach. The 17,927 likes per video, which represent approximately 44% of the follower base engaging with each post, underscore the account’s ability to captivate a large audience. However, the lower comment count compared to likes and shares may indicate that the content is more suited to passive consumption than fostering community interaction. This balance suggests the account’s content is optimized for scalability and shareability, with a focus on delivering quick, impactful moments rather than sustained engagement through dialogue.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The content strategy for @michel_kiwarkis is heavily focused on makeup tutorials and related products, as evidenced by the top hashtags. The most frequently used hashtags (#مكياج, #رموش, #مسكرا, and #ايلاينر) collectively account for 69% of all hashtag usage, with #مكياج (makeup) appearing 19 times and #رموش (eyelashes) and #مسكرا (eyeliner) each used 18 times. This indicates a strong emphasis on makeup application, eyelash care, and eyeliner techniques. The inclusion of English hashtags like #fyp (10x) and #makeup (3x) suggests an attempt to engage with broader audiences, though these tags are used less frequently compared to Arabic-language tags. The minimal use of English hashtags (only 4% of total hashtag usage) may reflect a primary audience in Arabic-speaking regions or a strategic focus on niche, culturally relevant content. The thematic consistency of the content is evident in the repetitive use of makeup-related hashtags, which align with a clear focus on beauty tutorials and product recommendations. The top hashtags consistently highlight specific makeup items (e.g., eyeliner, eyelashes) and broader categories (e.g., makeup), reinforcing a cohesive content theme. However, the absence of primary content categories in the data limits deeper analysis of video types or formats. The strategic use of hashtags like #رموش and #مسكرا (both used 18x) suggests a deliberate effort to target audiences interested in detailed tutorials for specific makeup products. While the inclusion of skincare-related tags (#skincare, #sorbeskin) adds minor diversification, the overwhelming majority of hashtags remain centered on makeup, indicating a narrow but focused content strategy.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio