31.9K
Followers
558
Following
2.7M
Total Hearts
150
Videos
18.0K
Avg Hearts/Video
9.43%
Engagement Rate
5.8y
Account Age
456
Followers/Month
38.6K
Hearts/Month
2.1
Videos/Month
Account Overview
What This Report Covers
The account @everybodyloveselli has 31,900 followers and 150 videos, indicating a substantial scale. Average views per video at 157,333 suggest broad reach, with total likes of 2,700,000 reflecting significant audience interaction. The 9.43% engagement rate underscores strong audience participation relative to follower count.
Account Classification
| Account Size | Micro (10K+) |
| Account Age | 2020-04-24 |
| Verification | No |
| Language | SV |
| Follower Ratio | 57.2:1 |
Data Summary
| Videos Analyzed | 34 |
| Avg Plays per Video | 157,333 |
| Avg Likes per Video | 13,129 |
| Engagement Rate | 9.43% |
Engagement Analysis
Based on 34 videos
The @everybodyloveselli account demonstrates strong engagement metrics, with an average of 13,129 likes per video, 807 comments, and 894 shares. These figures indicate a high level of audience interaction, particularly in terms of likes, which are significantly higher than the average for comments and shares. The overall engagement rate of 9.43% suggests that approximately 9.43% of followers engage with each video on average, which is above the typical benchmark for most accounts. However, the disparity between likes and other engagement types highlights a potential focus on visual or emotional appeal rather than fostering deeper discussion or shareability. The audience interaction patterns reveal a clear preference for likes, which may reflect content that is highly relatable, visually striking, or emotionally resonant. Comments and shares, while lower in volume, still represent meaningful engagement, with 807 comments per video indicating a moderate level of audience participation. The share rate of 894 per video suggests that the content has some level of virality, though it is not as pronounced as the likes. This combination of metrics implies that the account’s content is effective at capturing attention but may not consistently drive users to engage beyond liking. The metrics indicate that the content resonates strongly with the audience, particularly in terms of emotional or visual impact, as evidenced by the high like count. However, the lower comment and share rates suggest that while viewers are drawn to the content, they may not feel compelled to contribute to conversations or share it widely. This could point to a content strategy that prioritizes immediate engagement over long-term community building. The overall engagement rate of 9.43% aligns with the per-video averages, but the discrepancy between likes and other metrics underscores the need to balance visual appeal with interactive elements to maximize audience involvement.
157.3K
Avg Plays/Video
13.1K
Avg Likes/Video
807
Avg Comments/Video
894
Avg Shares/Video
1.6K
Avg Saves/Video
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
187.6K
Median Plays
15.8K
Median Likes
455.6K
75th Percentile
2.0M
Top Video
464.89
Engagement per 1K Followers
Normalized influence metric
Total Engagement (Sample)
5,349,337
Total Plays
446,401
Total Likes
27,425
Total Comments
30,406
Total Shares
52,981
Total Saves
Engagement Ratios
Per-view engagement breakdown
8.34%
Likes / Views
0.51%
Comments / Views
0.57%
Shares / Views
0.99%
Saves / Views
Viral Hit Rate
Videos exceeding 2x and 5x average views
8.80%
2x Avg (3 of 34)
0%
5x Avg (1 of 34)
Consistency Score
How predictable the view count is across videos
D
CV: 2.27
Lower CV = more consistent performance
Estimated Earnings
Revenue estimates based on follower count and average video performance
Creator Fund (Est. Monthly)
Based on avg 157.3K views/video
$7 – $13
$0.02 - $0.04 per 1,000 views
Sponsorship Value (Est. Per Post)
Based on 31.9K followers (Micro (10K+))
$319 – $638
Industry rate for micro (10k+) creators
Content Strategy Analysis
Based on 34 videos
@everybodyloveselli's content strategy centers on hair and beauty product showcases, with #hairtok (6 uses) serving as the dominant hashtag. This indicates a focus on hair-related content, likely including tutorials, product reviews, or styling tips. The hashtag #haul (4 uses) further emphasizes product-centric content, suggesting a strategy of highlighting new arrivals or curated beauty items. Additional hashtags like #fransserum, #mascaramedserum, and #hairrollers point to specific product promotions, indicating a mix of educational and commercial content. The absence of primary content categories limits direct insight into thematic focus, but the hashtag data strongly aligns with beauty and hair care niches. The account’s hashtag strategy balances broad reach (#hairtok) with niche targeting (e.g., #lenoites, #sminkrutin). This duality suggests an effort to attract both general beauty audiences and specific product enthusiasts. The higher frequency of #hairtok (6 uses) compared to other hashtags implies it is a core identifier for the account’s content, likely driving visibility within the hairtok community. However, the limited use of hashtags like #shopping (1 use) and #fyp (1 use) suggests less emphasis on direct sales pitches or algorithmic discovery, potentially prioritizing engagement over commerce. The thematic consistency of product-focused hashtags reinforces a strategy centered on showcasing beauty tools and treatments.
Video Duration Breakdown
40s
Average Duration
Original Sound Usage
Percentage of videos using the creator's own audio
Content Details
1
Pinned Videos
91.2%
Duet Enabled
91.2%
Stitch Enabled
Average caption length: 39 characters
Content Languages:
Posting Patterns & Optimal Timing
Based on 34 videos
Posting Frequency
| Videos per Week | 0.8 |
| Avg Gap Between Posts | 210.2h |
| Data Range | 289 days |
Most Active Days
Posting Hours (UTC)
Timing Insights
Understanding when a creator posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when @everybodyloveselli's content is published, which often correlates with when their specific audience is most active on the platform. Peak posting times vary based on audience demographics, timezone distribution, and content type.
Top Videos
Top 10 by play count
3.7M
Combined Plays (Top 5)
306.7K
Combined Likes (Top 5)
734.6K
Avg Plays per Top Video
Pinned Video
Videos pinned to the top of @everybodyloveselli's profile page
✨🥹 #hairrollers #hairtok
2.0M
Views
144.6K
Likes
86
Comments
14.8K
Shares
22.2K
Saves
✨✨✨ #hairrollers
756.4K
Views
54.5K
Likes
42
Comments
4.5K
Shares
7.8K
Saves
🩷🥹✨
211.6K
Views
18.7K
Likes
30
Comments
1.9K
Shares
1.6K
Saves
❗️
143.4K
Views
11.6K
Likes
38
Comments
93
Shares
264
Saves
TÄVLING✨✨✨ Regler: 1. Följ mig & @russemerch.se 🩷 2. Gilla denna videon🩷 3. Tagga en kompis🩷
133.5K
Views
9.8K
Likes
26.7K
Comments
323
Shares
1.2K
Saves
❗️
107.0K
Views
12.7K
Likes
38
Comments
244
Shares
877
Saves
Most Common Words
Top Sounds
Key Insights & Takeaways
Key Takeaways
Strengths
- + Strong engagement rate above platform average
- + Established follower base of 31,900
- + Consistent growth at 456 followers/month
- + Active posting schedule (0.8 videos/week)
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic targeting for regional audiences
- ~ Explore collaboration potential with similar creators
Summary
This analysis of @everybodyloveselli reveals a micro (10k+) TikTok presence with 31,900 followers. The account demonstrates an engagement rate of 9.43%, averaging 157.3K plays per video across 34 analyzed videos. Key strengths include 2.7M total hearts, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
Want TikTok Data for Your Research?
Search hashtags, look up profiles, and export TikTok data to CSV for analysis.
Start SearchingAbout This Analysis: This analysis is based on a snapshot of @everybodyloveselli's TikTok profile and recent videos. It evaluates content strategy, engagement patterns, and posting behavior. Metrics are based on 34 analyzed videos.
Data collected and analyzed by TKMetrics | Analysis date: Feb 24, 2026