Alan Carvalho

The account @alancarvalho097 has 177,000 followers and an average video reach of 3,185,392 views. With a total of 4,400,000 likes across 81 videos, the account demonstrates a strong engagement rate of 3.24%, indicating effective content resonance with its audience.

The account @alancarvalho097 demonstrates exceptionally high engagement per video, with an average of 87,786 likes, 1,287 comments, and 14,083 shares. These metrics indicate that each video achieves significant audience interaction, far exceeding typical benchmarks for content creators. The sheer volume of likes and shares suggests strong audience approval and virality, while the comment count reflects active participation. However, the overall engagement rate of 3.24% appears disproportionately low compared to the per-video metrics, which may indicate either a miscalculation in the overall rate or a unique context where engagement is measured differently (e.g., per video rather than cumulative). Audience interaction patterns reveal a clear preference for content that drives both passive (likes, shares) and active (comments) engagement. The high share count, particularly, suggests that the audience finds the content valuable enough to redistribute, which is a strong indicator of resonance. The comment volume, while lower than likes and shares, still represents a meaningful level of dialogue, implying that the content invites discussion. However, the overall engagement rate’s low value relative to per-video metrics raises questions about how this rate is calculated, as the per-video engagement alone would suggest a much higher rate (e.g., ~58.27% if calculated as total engagements per video divided by followers). The metrics collectively indicate that @alancarvalho097’s content is highly resonant with its audience, as evidenced by the massive likes and shares. However, the discrepancy between the per-video engagement and the overall rate suggests either an error in the rate’s calculation or a specific metric definition (e.g., average per video vs. cumulative). The account’s ability to consistently generate high engagement per video positions it as a top-performing creator, but the overall rate’s low value may reflect a broader trend or an anomaly in the data. Further clarification on the engagement rate’s methodology would be necessary to fully contextualize these findings.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The account's content focus appears centered around hair extensions, as evidenced by the repeated use of #protesecapilar (33x), which is the most frequently used hashtag. This suggests a thematic emphasis on hair extension products or services, potentially targeting audiences interested in hair styling or modification. The secondary hashtags, such as #sabor (3x) and #saborcabelo (3x), may indicate a secondary focus on hair care or styling products, though their lower usage frequency compared to #protesecapilar implies they are not central to the content strategy. The absence of primary content categories in the data limits deeper thematic analysis, but the hashtag distribution highlights a clear prioritization of hair extension-related content. The strategic use of hashtags reflects a deliberate effort to amplify visibility within niche markets. The dominant hashtag #protesecapilar (33x) likely serves as a brand identifier or keyword for searchability, while the inclusion of #carnaval (1x) and #carnava2026 (1x) suggests occasional engagement with seasonal or event-based themes. However, the low usage of other hashtags (e.g., #protesecapilarmasculina: 1x) indicates limited exploration of subtopics or audience segmentation. This approach prioritizes broad reach for hair extensions over specialized targeting, with minimal diversification in thematic focus. The hashtag strategy appears to balance consistency in core messaging with sparse experimentation, aligning with the account's apparent emphasis on product promotion rather than niche content diversification.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio