Olivia Addams ⚡️

The @oliviaaddams account has 1.3 million followers and 80.9 million total likes, indicating substantial scale and audience engagement. With an average of 171,417 views per video across 5,020 videos, the account demonstrates strong reach. The 8.35% engagement rate highlights effective content resonance with viewers.

@oliviaaddams' engagement metrics demonstrate strong audience interaction, with an overall engagement rate of 8.35%, significantly higher than the typical 1-3% range for most TikTok accounts. This rate is driven by an average of 14,115 likes per video, which accounts for approximately 1.1% of her 1.3 million followers. While likes dominate the engagement mix, the average comments per video (77) and shares per video (129) contribute meaningfully to the overall rate, reflecting a balanced but not overwhelming emphasis on textual and social interaction. The audience interaction patterns suggest a preference for passive engagement (likes) over active participation (comments/shares). The 77 comments per video represent a 0.6% engagement rate, while shares at 129 per video equate to a 0.1% rate. This disparity indicates that while viewers find the content compelling enough to like, they are less inclined to comment or share, which could signal either a focus on visual storytelling or a content strategy that prioritizes virality over discussion. The high like-to-comment ratio (14,115:77) further underscores this trend, with likes accounting for over 99% of total engagement. The metrics collectively indicate that @oliviaaddams' content resonates strongly with her audience, as evidenced by the elevated engagement rate. However, the relatively low comment and share volumes suggest that while the content is widely appreciated, it may not be fostering deep audience interaction or organic sharing. This could imply a content style that emphasizes entertainment or visual appeal over narrative depth or call-to-action prompts. The data does not provide insight into the nature of the comments or shares, so further analysis of qualitative feedback would be needed to fully understand audience motivations.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The account's content focus appears centered on music-related themes, with hashtags like #newmusic (7x) and #crocodiletears (5x) indicating a potential emphasis on musical performances or audio content. The frequent use of #eurovision2026 (8x) and #romania (7x) suggests a strategic alignment with cultural events or national identity, possibly targeting audiences interested in Eurovision or Romanian culture. Additionally, the self-promotional hashtag #oliviaaddams (8x) and the recurring #semnalinrai (8x) imply a focus on personal branding and localized engagement. The lower usage of hashtags like #hairtransformation (3x) and #2016 (3x) indicates these topics are not central to the content strategy. Thematic consistency is evident in the repeated use of #fyp (17x), which prioritizes algorithmic visibility for broader audience reach, alongside niche hashtags like #crocodiletears and #semnalinrai. This combination suggests a hybrid approach: leveraging TikTok's discovery algorithm while maintaining specificity around music, cultural events, and personal branding. The strategic repetition of #eurovision2026 and #romania (both 8x) reinforces a consistent thematic thread tied to regional or event-based content, while #newmusic (7x) and #crocodiletears (5x) highlight ongoing engagement with music-related narratives. The absence of data on primary content categories limits deeper thematic analysis, but hashtag frequency patterns provide clear directional insights.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio