filip custic

The account @filipcustic has 89,200 followers, demonstrating a substantial audience base. With 2,800,000 total likes across 140 videos, the account achieves an average of 432,383 views per video, indicating strong reach and consistent content performance. The 7.97% engagement rate highlights a robust interaction level, exceeding the platform’s typical average for accounts of similar scale.

The account @filipcustic demonstrates strong engagement metrics, with an overall engagement rate of 7.97%. This rate is calculated based on the average likes (33,110), comments (110), and shares (1,245) per video, relative to its 89,200 followers. The high average likes per video (33,110) indicate that the content is highly popular, with a significant portion of the audience interacting through likes. Shares (1,245) further suggest that the content is perceived as valuable or entertaining enough to be shared, which is a key indicator of resonance. However, the average comments per video (110) are relatively low compared to likes and shares, which may reflect a preference for visual or concise content that encourages quick engagement rather than detailed commentary. Audience interaction patterns highlight a strong emphasis on likes and shares, with the former dominating engagement metrics. The 33,110 likes per video represent approximately 37% of the follower base engaging with each video, which is exceptionally high for TikTok. This suggests the content is either highly relatable, visually striking, or aligns with trending themes. The 1,245 shares per video further reinforce that the content is shareable, potentially indicating a mix of entertainment, educational value, or emotional appeal. The lower comment count (110) may imply that the audience prioritizes brevity in engagement, or that the content format (e.g., short-form video) discourages extended dialogue. The metrics collectively indicate that @filipcustic’s content is effective in driving broad engagement, with a focus on likes and shares. The high likes per video (33,110) and shares (1,245) suggest the content is both popular and shareable, which are critical for virality. However, the relatively low comments (110) may indicate that the audience prefers to engage through visual or emotional reactions rather than textual interaction. This pattern could signal a content strategy that prioritizes quick, impactful interactions over in-depth discussions, which aligns with TikTok’s platform dynamics.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

@filipcustic’s content strategy centers on themes tied to artificial intelligence and the uncanny valley phenomenon, as evidenced by the dominant use of #uncannyvalley (15 instances) and #ai (3 instances). These hashtags suggest a focus on exploring hyper-realistic digital creations, AI-generated media, or the psychological impact of near-human simulations. The inclusion of #mukbangs (4 instances) and #unboxing (2 instances) indicates occasional engagement with food-centric content or product reveals, though these categories are underrepresented compared to AI-related themes. The limited use of other hashtags like #asmr (2 instances) and #hiperrealism (1 instance) further narrows the thematic scope to niche, visually driven content. Thematic consistency is reinforced by the recurring emphasis on AI and uncanny valley, which aligns with a strategic effort to position the account within specialized niches such as digital art, virtual reality, or AI ethics. However, the absence of primary content categories in the data limits deeper insights into whether these hashtags reflect a cohesive narrative or fragmented experimentation. The strategic prioritization of #uncannyvalley (15x) over other tags suggests a deliberate focus on audience engagement with complex, thought-provoking topics, while lower-frequency tags like #armydreamer (1x) and #liminal (1x) may indicate exploratory or niche content without clear thematic integration.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio