White Page Data

The account @whitepagedata has 48,100 followers and an average of 6,179,374 views per video across 24 total videos. It achieves a 2.28% engagement rate with 1,400,000 total likes, indicating strong audience interaction relative to its follower base.

The account @whitepagedata demonstrates exceptionally high engagement metrics, with an average of 136,231 likes, 1,285 comments, and 3,562 shares per video. These figures indicate that each video is generating a massive volume of interactions, far exceeding typical benchmarks for TikTok accounts. For context, the average likes per video alone are 2.8 times the account’s follower count (48,100), suggesting either viral content, niche audience targeting, or algorithmic amplification. The comment-to-like ratio (1:106) and share-to-like ratio (1:38) further highlight that viewers are not only engaging with the content but actively participating through discussions and sharing. The overall engagement rate of 2.28% places the account in the upper range of TikTok’s typical 1-3% engagement spectrum. This rate is calculated as (likes + comments + shares) divided by followers, which for this account would be (136,231 + 1,285 + 3,562) / 48,100 = 2.93%, but the provided 2.28% may reflect a different metric or rounding. Regardless, the high interaction rates per video strongly suggest that the content is resonating deeply with the audience, driving both passive (likes) and active (comments, shares) engagement. The combination of high likes and shares also indicates that the content is not only being consumed but also amplified by the audience, which is critical for organic growth and visibility. The metrics collectively point to a content strategy that prioritizes high-impact, shareable material. The dominance of likes over comments and shares could imply that the content is visually or emotionally compelling, encouraging immediate reactions. However, the relatively high comment count (1,285 per video) suggests that the audience is also invested in dialogue, which may indicate niche topics or interactive elements (e.g., polls, calls to action) that foster engagement. The absence of video definition data limits deeper analysis of visual appeal, but the sheer scale of interactions underscores a strong, consistent ability to captivate and mobilize the audience.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

@whitepagedata's content strategy centers on data-centric themes, with #dataanalytics (6 uses), #data (6 uses), and #us (6 uses) dominating their hashtag usage. These tags indicate a focus on data science, analytics, and U.S.-specific content, likely targeting audiences interested in technical data topics or regional insights. The consistent use of #usa🇺🇸 (5 uses) further reinforces a geographic emphasis, while secondary tags like #education (2 uses) and #paint (2 uses) suggest occasional diversification into educational content or creative themes. However, the lack of defined primary content categories limits deeper thematic analysis. The account exhibits strong thematic consistency around data and U.S.-related topics, with #dataanalytics and #data serving as core pillars. The equal usage of #dataanalytics and #data (6 each) highlights a balanced approach to both niche and broad data engagement. Lower-frequency tags like #name (3 uses) and #colors (2 uses) appear to be peripheral, possibly indicating experimental or supplementary content. This hashtag strategy prioritizes clarity and reach for data-focused audiences while maintaining a regional anchor, though the absence of primary category data restricts assessment of content structure.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio