راكان الدرويش في 🇸🇦

The @rakanfit account has 1.7 million followers and 42 million total likes, indicating substantial scale. With 814 videos averaging 806,064 views each, the account demonstrates strong reach. Its engagement rate of 1.32% highlights moderate audience interaction relative to total views.

@rakanfit's engagement metrics indicate a strong presence with 1.7 million followers. The account generates an average of 9,662 likes per video, which is a substantial number for a million-follower account. This suggests that the content is visually compelling or aligns with the audience's interests. However, the overall engagement rate of 1.32% appears relatively low compared to industry benchmarks, which typically range between 1.5%–3% for high-performing accounts. This discrepancy may reflect the platform's algorithmic weighting of engagement types or the specific niche of the content. Audience interaction patterns show a balanced mix of engagement types. While likes dominate (9,662 per video), comments (346) and shares (625) also contribute meaningfully to audience participation. The ratio of comments to likes (approximately 3.6%) suggests that viewers are not only reacting to content but also engaging in discussions, which is a positive indicator of content resonance. Shares, at 625 per video, indicate that the content is perceived as valuable or entertaining enough to warrant redistribution, further amplifying its reach. The metrics collectively suggest that @rakanfit’s content resonates with its audience in terms of visual appeal and shareability. However, the 1.32% overall engagement rate implies that there may be untapped potential for deeper audience interaction. For instance, the relatively low comment-to-like ratio could indicate opportunities to foster more conversational content or encourage audience-driven discussions to elevate engagement beyond surface-level reactions.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The content strategy for @rakanfit cannot be analyzed due to insufficient data on primary content categories. Without specific information about the types of content being posted (e.g., workout routines, nutrition tips, fitness challenges), it is impossible to determine their focus areas or thematic consistency. The absence of category data limits the ability to assess whether their content aligns with audience interests or market trends. The strategic use of hashtags and categories remains undetermined due to the lack of top hashtag data. Hashtags are critical for discoverability and audience engagement, but without visibility into the specific tags being used, it is impossible to evaluate their effectiveness or alignment with platform algorithms. Further data collection on content categories and hashtag performance would be necessary to derive actionable insights for optimizing their content strategy.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio