عبدالعزيز اكرم

The @azo133 account has 6.1 million followers, demonstrating significant scale. With an average video view count of 1.26 million and a 3.01% engagement rate, the account achieves strong audience interaction. The total of 117.8 million likes underscores the account's ability to drive substantial user engagement across its 779 videos.

The account @azo133 has 6,100,000 followers and an overall engagement rate of 3.01%, which is above the typical 2-3% range for most accounts. This suggests strong audience interaction relative to its follower base. The average likes per video (31,834) significantly outpace the average comments (925) and shares (5,198), indicating a preference for visual or emotional engagement over textual interaction. The 3.01% engagement rate is driven by the high volume of likes, which account for approximately 84.5% of total engagement (31,834 / (31,834 + 925 + 5,198) = 84.5%). This highlights a content strategy that prioritizes broad appeal through visual storytelling or trending formats. Audience interaction patterns reveal a clear hierarchy of engagement: likes dominate, followed by shares, with comments being the least frequent. The 5,198 average shares per video suggest the content is perceived as valuable or shareable, possibly due to its novelty, educational value, or relatability. However, the relatively low comment count (925) compared to likes (31,834) indicates that the audience may prioritize passive engagement (e.g., liking or sharing) over active discussion. This could imply the content is optimized for virality rather than fostering community dialogue, or that the audience is less inclined to comment on the platform. The metrics indicate that @azo133’s content resonates strongly with its audience, particularly through high like rates. The combination of 31,834 likes, 5,198 shares, and 925 comments per video suggests a balance between broad appeal and moderate audience participation. The 3.01% engagement rate, while not exceptionally high, is bolstered by the massive follower base, which amplifies the absolute numbers. This profile likely thrives on content that is visually striking, emotionally engaging, or aligned with trending topics, as these factors drive the majority of interactions.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The content focus of @azo133 appears to center on personal branding and regional identity, with the hashtag #عبدالعزيز_أكرم (used 8 times) dominating the top tags. This suggests a strong emphasis on individual or business identity, possibly tied to a person or entity named Abdulaziz Al-Akrum. The frequent use of location-based hashtags such as #مكة (Makkah), #جدة (Jeddah), and #الرياض (Riyadh) indicates a thematic focus on Saudi Arabian cities, potentially highlighting travel, cultural content, or local events. The lower-frequency tags like #تكافل_الراجحي (Takaful Al-Rajhi) and #عقار (real estate) may signal niche interests, but without content categories, their relevance remains speculative. The absence of primary content categories limits deeper thematic analysis, though the hashtag data implies a regional and personal branding strategy. The strategic use of hashtags reflects a deliberate effort to target audiences within Saudi Arabia, leveraging location-specific tags to amplify regional reach. The high frequency of #عبدالعزيز_أكرم (8x) compared to other tags (e.g., #الرياض at 3x) underscores its central role in content positioning, likely reinforcing brand recognition or personal identity. While the city tags (#مكة, #جدة) share similar usage counts, their combined frequency (12x) suggests a consistent focus on Saudi geography. The inclusion of less common tags like #خيال (imagination) and #عالم_الوسام (world of warnings) introduces thematic diversity, though their low usage (1x each) indicates they may serve as occasional modifiers or niche engagement tactics. This approach balances localized relevance with broader thematic exploration, though the lack of content categories restricts further granularity.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio