RM12

The @robert_miranda.12 account demonstrates significant scale, with 301,800 followers and 25.3 million total likes, indicating broad audience reach and content resonance. Its 871 videos achieve an average of 672,864 views per post, reflecting consistent content distribution and high individual video performance. The 14.02% engagement rate underscores strong audience interaction relative to its follower base.

The account @robert_miranda.12 demonstrates strong engagement metrics, with an overall engagement rate of 14.02%. This rate is driven by exceptionally high average likes per video (90,094) and shares per video (4,103), which significantly outpace the average comments per video (159). The combination of likes and shares contributes to a robust engagement rate, indicating that the audience is actively interacting with the content through these primary actions. However, the relatively low comment count suggests that while the audience is engaging through likes and shares, they may be less inclined to participate in discussions or provide feedback in the comments section. Audience interaction patterns reveal a clear preference for passive engagement over active dialogue. The disparity between likes (90,094) and comments (159) highlights that viewers are more likely to express approval or share content than to engage in deeper conversations. The high share rate (4,103) further underscores the content’s shareability, which could indicate that the material is either highly relatable, informative, or emotionally resonant. This dynamic suggests that the audience values the content’s utility or entertainment value but may not prioritize comment-based interaction. The metrics indicate that the content is highly resonant with the audience, as evidenced by the massive likes and shares. The 14.02% engagement rate, while not exceptionally high compared to some niche accounts, is strong for a profile with 301,800 followers. The high likes per video (90,094) suggest that each post is reaching a broad audience and generating significant approval, which could reflect the content’s quality, relevance, or alignment with trending topics. However, the low comment count relative to likes may signal an opportunity to foster more interactive content, such as prompts for audience input or Q&A formats, to balance engagement types.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

@robert_miranda.12’s content strategy is heavily focused on football-related themes, with a strong emphasis on viral and trending content. The account’s top hashtags—#viral (37 uses), #footballedit (34 uses), #fyp (34 uses), and #fifaworldcup (30 uses)—indicate a deliberate effort to align with high-traffic, shareable content. The prominence of #worldcup (28 uses) and #uefa (7 uses) suggests a strategic alignment with major football events, leveraging their global audience and relevance. The absence of primary content categories limits direct insight into vertical specialization, but the hashtag data strongly implies a focus on sports entertainment, editing, and event coverage. The thematic consistency of the hashtag strategy centers on maximizing visibility through trending tags while maintaining a football-centric identity. The repeated use of #viral and #fyp (both 34 uses) highlights a dual focus on organic virality and algorithmic promotion, while #footballedit (34 uses) underscores a niche interest in creative editing techniques. The lower usage of #uefachampionsleague (3 uses) and #uefa (7 uses) compared to World Cup tags suggests a narrower focus on international competitions rather than club-level football. This hashtag prioritization reflects a strategic balance between broad appeal (via #worldcup) and niche engagement (via #footballedit), though the lack of category data prevents deeper vertical analysis.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio