عبدالله الديني

The account @abody1dini has 622,900 followers and 19,900,000 total likes, achieving an average of 1,812,600 views per video across 315 videos. This results in a total reach of 570,969,000 views and a 4.95% engagement rate, reflecting strong audience interaction and content resonance.

The account @abody1dini demonstrates strong engagement metrics, with an average of 71,189 likes, 854 comments, and 17,628 shares per video. These figures indicate that each video is receiving substantial interaction, particularly in terms of likes and shares, which are typically the most common forms of engagement on TikTok. The overall engagement rate of 4.95% suggests that, on average, 4.95% of followers interact with each video. While this rate is lower than the typical benchmark for high-performing accounts (which often hover around 5-10%), the sheer volume of likes and shares per video compensates for the large follower base of 622,900. This implies that the content is resonating with a broad audience, though the engagement rate may be diluted by the scale of the audience. Audience interaction patterns reveal a balance between organic engagement and shareability. The average comments per video (854) suggest that viewers are actively participating in discussions, which is a strong indicator of content relevance and relatability. Meanwhile, the high average shares (17,628) indicate that the content is not only being consumed but also being disseminated to new audiences, potentially amplifying its reach. The combination of likes, comments, and shares highlights a well-rounded engagement strategy, where viewers are both emotionally invested (likes) and socially motivated (shares) to interact. The metrics collectively indicate that @abody1dini’s content is highly resonant with its audience, as evidenced by the consistently high engagement per video. However, the overall engagement rate of 4.95% may reflect the challenges of maintaining high interaction rates at scale. While the account’s per-video performance is exceptional, the rate could be influenced by factors such as follower demographics, content saturation, or platform algorithmic changes. The data does not provide insights into these factors, so further analysis would be required to isolate specific drivers of engagement.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The account @abody1dini's content strategy is heavily focused on Saudi Arabia and Jeddah, with the hashtag #السعودية (Saudi Arabia) used 32 times and #جدة (Jeddah) used 20 times. These location-based tags dominate the top hashtags, indicating a strong regional emphasis. The account also frequently uses #اكسبلور (19 times), which likely relates to exploration or tourism themes within Saudi Arabia. Ramadan-related hashtags (#رمضان and #رمضان_يجمعنا, each used 6 times) suggest seasonal content creation during the holy month, while #الشتاء (winter, 4 times) and #الاكتئاب (depression, 2 times) indicate occasional thematic diversification into seasonal and mental health topics. The lack of defined primary content categories limits deeper thematic analysis, but the hashtag data reveals a clear regional and seasonal focus. The strategic use of hashtags prioritizes location and seasonal relevance, with #السعودية and #جدة serving as core identifiers for the account’s audience. The high frequency of #السعودية (32 times) compared to other tags suggests a deliberate effort to reinforce national identity, while #جدة (20 times) and #اكسبلور (19 times) target local audiences interested in Jeddah-specific content. Ramadan hashtags (6 uses each) align with cultural and religious observances, potentially driving engagement during specific times of the year. Less frequent tags like #الشتاء and #الاكتئاب may reflect niche or supplementary themes, but their lower usage indicates they are not central to the account’s primary strategy. This hashtag strategy effectively narrows the audience to Saudi and Jeddah-based users while leveraging seasonal and cultural relevance.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio