Bagas & Dila

The account @baadiilll has 1.5 million followers, indicating significant scale. With an average of 5.85 million views per video and 90.3 million total likes, the account demonstrates substantial reach and strong engagement, reflected in a 5.14% engagement rate.

@baadiilll’s engagement metrics demonstrate strong audience interaction, with 1,500,000 followers and an average of 271,586 likes per video. The overall engagement rate of 5.14% reflects a robust level of audience participation, though this figure appears lower than typical benchmarks for accounts with such a large follower base. For context, a 5.14% rate would equate to approximately 77,100 total interactions (likes + comments + shares) per video, which is significantly lower than the 300,835 interactions implied by the individual metrics. This discrepancy suggests either a miscalculation in the engagement rate or a specific context (e.g., average per video vs. overall rate). Regardless, the sheer volume of likes (271k) and shares (26k) per video underscores a highly engaged audience, particularly in terms of visibility and virality. Audience interaction patterns reveal a clear preference for passive engagement over active dialogue. The ratio of likes to comments (271,586:2,840) is approximately 95:1, indicating that viewers are more inclined to express approval through likes rather than participate in discussions. Shares (26,409) further highlight the content’s shareability, though their lower volume compared to likes suggests the audience may prioritize visibility over deeper interaction. This dynamic could reflect content that is visually striking, emotionally resonant, or highly relatable, driving immediate reactions without requiring extensive commentary. The metrics collectively indicate that @baadiilll’s content resonates strongly with its audience, particularly in terms of emotional or aesthetic appeal. The high number of likes and shares suggests the content is widely appreciated and shared, likely due to its ability to capture attention quickly. However, the relatively low comment count implies that while the audience engages broadly, they may not feel compelled to contribute detailed feedback. This could point to content that is more observational or entertainment-focused, with less emphasis on fostering debate or discussion. The combination of high likes and shares also suggests a strong potential for virality, as the content is both widely consumed and shared across the platform.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The content focus of @baadiilll appears to revolve around beauty, personal care, and hygiene, as evidenced by the top hashtags #haircare, #shampoo, and #pembersihkewanitaan (which translates to "female hygiene cleaner" in Indonesian). These hashtags suggest a thematic emphasis on hair and skin care products, with a particular interest in specialized cleaning solutions for women. The inclusion of both English and Indonesian hashtags indicates a potential multilingual or regional targeting strategy, though the lack of primary content category data limits deeper thematic analysis. The hashtags used are largely niche, with #resikv and #lebihdaribersih (meaning "cleaner than before") further reinforcing a focus on product efficacy and user experience. The strategic use of hashtags reflects a mix of broad and specific tags, with #haircare and #shampoo serving as general categories while #pembersihkewanitaan and #pedenyanyaman (translating to "comfortable cleaning") target more specialized audiences. The limited repetition of hashtags (each used only once) suggests a cautious approach to hashtag optimization, possibly to avoid over-saturation or to test audience engagement across diverse tags. The presence of language-specific hashtags like #lebihdaribersih and #resikv may indicate an effort to engage Indonesian-speaking audiences, though this cannot be confirmed without additional metadata. Overall, the hashtag strategy appears to balance general visibility with niche audience targeting.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio