Amara

The account @ammarathegoat has 439,100 followers and 11.3 million total likes, indicating a substantial audience and content appeal. With an average of 4.047 million views per video across 74 videos, the account demonstrates strong reach. The 5.91% engagement rate highlights effective audience interaction relative to its follower base.

The account @ammarathegoat has 439,100 followers and demonstrates exceptionally high engagement metrics. The average likes per video are 224,251, which is 51.6% of the total follower base (439,100). This indicates that nearly half of the audience interacts with each video through likes, a strong sign of content resonance. The average shares per video (13,389) represent 3.05% of followers, while comments (1,717) account for 0.39% of followers. These figures highlight a clear preference for visual engagement (likes and shares) over textual interaction (comments), which is common in platforms like TikTok where content is often consumed quickly. The overall engagement rate of 5.91% is notably high, exceeding the typical 3–5% range for many creators, suggesting the content is both compelling and widely appreciated. Audience interaction patterns reveal a strong emphasis on virality. The share rate (13,389 per video) is disproportionately higher than comments, indicating that the content is being recommended or repurposed by viewers, which amplifies its reach. The ratio of likes to shares (16.7:1) further underscores that the audience prioritizes visual approval over sharing, possibly due to the nature of the content (e.g., tutorials, challenges, or entertainment). Comments, while lower in volume, still average 1,717 per video, reflecting a dedicated subset of viewers who engage in discussions. This balance between mass-like engagement and niche commentary suggests a content strategy that balances broad appeal with targeted interaction. The metrics collectively indicate that @ammarathegoat’s content is highly resonant with its audience. The 5.91% engagement rate, driven by 224,251 average likes per video, positions the account as a top-tier creator in terms of follower interaction. The high share rate (13,389 per video) implies that the content is not only consumed but also actively distributed, which is a strong indicator of its perceived value. While comments are lower relative to likes, their presence suggests a loyal audience willing to engage in deeper discussions. These metrics collectively paint a picture of a creator who effectively balances viral appeal with meaningful audience interaction, driving sustained engagement and growth.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

@ammarathegoat’s content strategy appears centered on aesthetic and creative expression, with a strong emphasis on makeup tutorials and costume-related content. The hashtag #grwm (used 8 times) dominates, indicating a focus on beauty routines or transformation-based content, likely targeting audiences interested in skincare, makeup, or personal styling. The frequent use of #cosplay (6x) and #transition (4x) suggests an interest in costume creation, character transformation, or thematic content, possibly blending performance art with visual storytelling. While the exact content categories remain unspecified, the hashtag data implies a hybrid approach combining beauty, creativity, and niche subcultural interests such as #TimBurton (3x) and #polarbear (3x), which may reflect a fascination with dark, artistic aesthetics or specific fandoms. Thematic consistency is evident in the recurring focus on visual transformation and self-expression, with hashtags like #qipao (4x) and #colormixing (2x) hinting at cultural attire or artistic experimentation. However, the lack of primary content category data limits deeper analysis of thematic cohesion. The strategic use of hashtags appears to prioritize visibility in niche communities, leveraging high-usage tags like #grwm for broader reach while niche tags like #bebot (4x) and #kikay (3x) may target specific subcultures or personal branding. This approach balances mainstream appeal with specialized audience engagement, though the absence of content category metrics makes it difficult to assess alignment between hashtag usage and actual video content.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio