Hoover&Vacuum✨MAD

The account @hoovervacuum.mad has 61,100 followers, with a total of 3,800,000 likes across 1,582 videos. The average video receives 598,391 views, resulting in an engagement rate of 8.23%. This indicates a substantial reach and strong engagement relative to its follower base.

The @hoovervacuum.mad account demonstrates strong engagement metrics, with an overall engagement rate of 8.23%, significantly above the typical TikTok average of 2-5%. This rate is driven by high average likes per video (44,139), which account for the majority of engagement. The combination of likes and shares (44,139 + 4,815 = 48,954) represents 80.5% of the total engagement, indicating a strong preference for visual and shareable content. While comments (293 per video) are lower relative to likes, they still contribute meaningfully to the engagement rate, suggesting some level of audience interaction beyond passive consumption. Audience interaction patterns reveal a clear preference for likes and shares over comments. The 44,139 average likes per video suggest that the content is highly effective at capturing attention and encouraging immediate reactions, likely due to its visual appeal or relatability. Shares (4,815 per video) further indicate that the content holds value for audience members, who are willing to disseminate it to their networks. The lower comment count (293) compared to likes may reflect a focus on concise, impactful content rather than open-ended discussions, or it could indicate that the audience is more inclined to engage through other means. The metrics collectively signal that the content resonates strongly with the audience, particularly in terms of visual engagement and shareability. The high likes and shares suggest the content is either educational, entertaining, or emotionally compelling, with a clear call to action or shareable hook. However, the relatively low comment count implies that the audience may prioritize quick engagement over in-depth interaction. This balance between likes and shares highlights a strategy that prioritizes virality and broad reach, which aligns with the account’s high engagement rate.

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

The content strategy for @hoovervacuum.mad is heavily centered on ASMR and visual art, with a clear emphasis on niche, sensory-driven themes. The account’s top hashtags—#asmr (36 uses), #vacuumasmr (35 uses), and #sparkle (27 uses)—indicate a deliberate focus on creating ASMR content that leverages the Hoover vacuum as a central element. This aligns with the #visualart (26 uses) and #visualasmr (7 uses) hashtags, suggesting an intentional blend of auditory and visual stimulation to engage viewers. The thematic consistency is evident in the repeated use of ASMR-related tags, which dominate the hashtag strategy, while the inclusion of #sparkle and #visualart highlights a secondary emphasis on aesthetic appeal. The account’s content appears to prioritize sensory experiences, with a strategic balance between auditory (ASMR) and visual (art/visuals) elements to maximize viewer engagement. The hashtag strategy reflects a targeted approach to niche audiences, with #vacuumasmr and #asmr serving as primary identifiers for the account’s unique content. The high frequency of #asmr (36 uses) compared to other tags underscores its role as a core brand identifier, while #vacuumasmr (35 uses) reinforces the product’s integration into the content’s identity. The use of #sparkle (27 uses) and #visualart (26 uses) expands the appeal to viewers interested in visual aesthetics, potentially broadening the audience beyond pure ASMR enthusiasts. However, the lower frequency of tags like #oddlysatisfying (3 uses) and #hearts (4 uses) suggests a narrower focus on specific sensory experiences rather than broader, more general themes. This strategy effectively narrows the audience but maintains thematic cohesion through consistent use of ASMR and visual-related hashtags.

Video Duration Breakdown

Original Sound Usage

Percentage of videos using the creator's own audio