Kaleönü pastırma

The account @kaleonupastirma_38 has 291,100 followers and has accumulated 5,100,000 total likes across 1,986 videos. Its content achieves an average of 2,001,911 views per video, contributing to an engagement rate of 0.98%. This indicates a substantial reach with high-performing content that drives significant viewer interaction.

The account @kaleonupastirma_38 has 291,100 followers, indicating a substantial audience base. The average likes per video (18,791) and average shares per video (630) suggest strong audience approval and virality, with likes dominating engagement metrics. However, the average comments per video (185) are relatively low compared to likes, which may indicate limited direct audience interaction or a content format that prioritizes visual appeal over discussion. The overall engagement rate of 0.98% appears unusually low given the high likes per video, which would typically contribute significantly to this metric. This discrepancy may stem from a miscalculation or a unique engagement metric definition, as the provided data does not align with standard engagement rate formulas. Audience interaction patterns reveal a clear preference for passive engagement (likes, shares) over active participation (comments). The ratio of likes to comments (106:1) and likes to shares (30:1) highlights a content strategy that emphasizes visual or emotional resonance rather than fostering dialogue. While shares (630 per video) suggest the content is being repurposed or recommended by followers, the low comment count may indicate that the audience is less inclined to engage in deeper conversations or that the content format (e.g., short-form videos) discourages textual interaction. The metrics indicate that the content resonates strongly with viewers in terms of virality and approval, as evidenced by the high likes and shares. However, the low comment count and overall engagement rate (0.98%) suggest that the content may not be driving meaningful audience interaction or fostering community-building. This could imply that the audience is primarily consuming content rather than engaging with it, which may impact long-term audience retention or brand loyalty. Further analysis of video-specific metrics (e.g., video length, posting frequency, or content themes) would be necessary to identify specific factors influencing engagement patterns.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

@kaleonupastirma_38’s content strategy is heavily centered around promoting pastirma, a traditional Turkish dish, as evidenced by the hashtag #pastırma, which is used 17 times. This suggests a thematic focus on food content, likely showcasing preparation, recipes, or cultural significance of pastirma. The hashtag #keşfetbeniöneçıkar (used 31 times) and its variations (#keşfetbeni, #keşfetbeniöneçıkarttiktok) dominate the hashtag strategy, indicating an emphasis on discovery-driven engagement. These hashtags may aim to encourage followers to explore or share the account’s content, potentially leveraging TikTok’s algorithm for visibility. The frequent use of #tiktokviral (11 times) and #gadasınıaldığım (10 times) further aligns the strategy with virality and audience interaction, suggesting a focus on creating shareable, trend-aligned content. Thematic consistency is reinforced by the recurring use of hashtags tied to discovery (#keşfetbeni, #keşfet) and regional identity (#kayseri, #hacilar), which may position the account as a local or cultural influencer. While primary content categories are unavailable, the hashtag data implies a narrow focus on food (pastirma) and audience engagement through discovery-driven tactics. The strategic repetition of hashtags like #keşfetbeni (used 10 times) and its variants suggests an attempt to maximize visibility while reinforcing brand recognition. However, the absence of content category data limits deeper insights into visual or thematic diversity beyond the hashtag-driven focus.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio