SERJAY
https://clck.ru/3Mi6vA COOPERATION: serjaypr@yandex.ru📩 ⬇️Мой ТГК⬇️
7.8M
Followers
93
Following
500.2M
Total Hearts
1.1K
Videos
442.3K
Avg Hearts/Video
16.97%
Engagement Rate
7.2y
Account Age
90.2K
Followers/Month
5.8M
Hearts/Month
13.1
Videos/Month
Account Overview
What This Report Covers
The @ser_jay account demonstrates substantial scale with 7.8 million followers, indicating a broad audience reach. Its average video views of 3.68 million suggest consistent high-impact content distribution. The account achieves a strong engagement rate of 16.97%, supported by 500.2 million total likes, reflecting robust audience interaction relative to its follower base.
Account Classification
| Account Size | Macro (1M+) |
| Account Age | 2018-12-10 |
| Verification | Yes |
| Language | RU |
| Follower Ratio | 84K:1 |
Data Summary
| Videos Analyzed | 34 |
| Avg Plays per Video | 3,677,391 |
| Avg Likes per Video | 533,632 |
| Engagement Rate | 16.97% |
Engagement Analysis
Based on 34 videos
@ser_jay’s engagement metrics demonstrate exceptional audience interaction, with an overall engagement rate of 16.97%, significantly higher than the typical 1-3% observed on TikTok. This rate is driven by an average of 533,632 likes, 2,067 comments, and 88,518 shares per video. The likes dominate the engagement mix, contributing over 85% of total interactions (533,632 likes vs. 624,217 total interactions per video). This suggests the audience prioritizes liking content over commenting or sharing, possibly due to the platform’s algorithm favoring quick, scalable engagement. The 2,067 comments per video indicate a moderate level of audience participation, which is proportionally lower than likes but still substantial for a 7.8 million follower account. Shares at 88,518 per video further highlight the content’s shareability, reflecting a balance between entertainment value and relatability. While the comment-to-like ratio (1:258) is unusually low, the high share rate (1:6.1) suggests the content is both emotionally resonant and socially valuable. These metrics collectively indicate that @ser_jay’s content is not only widely consumed but also strategically optimized for virality, with a strong emphasis on likes and shares to drive growth. The engagement rate of 16.97% underscores the account’s ability to convert followers into active participants, with each video generating over 624,000 interactions. This level of engagement is rare and likely attributable to a combination of high-quality content, consistent posting, and audience alignment with the creator’s niche. However, the absence of data on video frequency or content themes limits deeper insights into specific factors driving resonance. The metrics confirm a robust, scalable engagement model that aligns with TikTok’s algorithmic priorities for visibility and retention.
3.7M
Avg Plays/Video
533.6K
Avg Likes/Video
2.1K
Avg Comments/Video
88.5K
Avg Shares/Video
34.8K
Avg Saves/Video
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
7.2M
Median Plays
912.0K
Median Likes
9.7M
75th Percentile
18.9M
Top Video
80.03
Engagement per 1K Followers
Normalized influence metric
Total Engagement (Sample)
125,031,300
Total Plays
18,143,500
Total Likes
70,281
Total Comments
3,009,596
Total Shares
1,182,162
Total Saves
Engagement Ratios
Per-view engagement breakdown
14.51%
Likes / Views
0.06%
Comments / Views
2.41%
Shares / Views
0.94%
Saves / Views
Viral Hit Rate
Videos exceeding 2x and 5x average views
14.70%
2x Avg (5 of 34)
0%
5x Avg (1 of 34)
Consistency Score
How predictable the view count is across videos
C
CV: 1.05
Lower CV = more consistent performance
Estimated Earnings
Revenue estimates based on follower count and average video performance
Creator Fund (Est. Monthly)
Based on avg 3.7M views/video
$963 – $1,927
$0.02 - $0.04 per 1,000 views
Sponsorship Value (Est. Per Post)
Based on 7.8M followers (Macro (1M+))
$39,000 – $93,600
Industry rate for macro (1m+) creators
Content Strategy Analysis
Based on 34 videos
The content strategy for @ser_jay cannot be evaluated due to insufficient data on primary content categories and top hashtags. Without metrics detailing the specific topics, themes, or subject areas covered in their posts, it is impossible to determine their content focus or identify patterns in their creative output. The absence of category data limits the ability to assess whether the account prioritizes niche subjects, broad themes, or a mix of formats such as tutorials, vlogs, or lifestyle content. Thematic consistency and strategic use of categories/hashtags cannot be analyzed due to the lack of available metrics. The account’s reliance on undefined content categories and untracked hashtags prevents evaluation of how effectively they align with audience interests or platform trends. Without quantitative data on hashtag performance or category distribution, conclusions about their strategic approach to engagement or audience targeting remain unverifiable.
Video Duration Breakdown
33s
Average Duration
Original Sound Usage
Percentage of videos using the creator's own audio
Content Details
0
Pinned Videos
100.0%
Duet Enabled
100.0%
Stitch Enabled
Average caption length: 45 characters
Content Languages:
Posting Patterns & Optimal Timing
Based on 34 videos
Posting Frequency
| Videos per Week | 1.0 |
| Avg Gap Between Posts | 175.9h |
| Data Range | 241 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 @ser_jay'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
56.9M
Combined Plays (Top 5)
7.8M
Combined Likes (Top 5)
11.4M
Avg Plays per Top Video
Во всем виноваты тупые айфоны с неработающими будильниками ..
18.9M
Views
2.2M
Likes
5.5K
Comments
466.9K
Shares
136.3K
Saves
Я и… какой сериал?))
10.5M
Views
1.9M
Likes
13.0K
Comments
355.9K
Shares
156.7K
Saves
Их фоткают будто на продажу на маркетплейсе…
9.7M
Views
1.6M
Likes
5.0K
Comments
278.3K
Shares
95.3K
Saves
Каждый день нужно их спасать..
9.1M
Views
978.7K
Likes
3.0K
Comments
140.6K
Shares
60.9K
Saves
И потом удивляюсь почему я им не нравлюсь…
8.7M
Views
1.1M
Likes
5.7K
Comments
227.8K
Shares
90.4K
Saves
Как она функционирует помогите..
5.8M
Views
845.2K
Likes
4.4K
Comments
186.1K
Shares
58.6K
Saves
Каждый раз я боюсь за свои глаза…
5.5M
Views
674.8K
Likes
1.8K
Comments
76.6K
Shares
37.7K
Saves
Что с нами было не так…
5.5M
Views
651.8K
Likes
3.5K
Comments
134.9K
Shares
46.7K
Saves
А вроде только было 16… как вам тортик?:)
5.3M
Views
713.1K
Likes
5.0K
Comments
14.1K
Shares
25.7K
Saves
Никакой поездки, если не вынесено пол квартиры… и не сделана масочка энзимкой миксит:) артикул на вб 303240677 и озон 1787329551
4.1M
Views
676.9K
Likes
2.2K
Comments
105.3K
Shares
48.2K
Saves
Most Common Words
Top Sounds
Key Insights & Takeaways
Key Takeaways
Strengths
- + Strong engagement rate above platform average
- + Established follower base of 7,800,000
- + Consistent growth at 90.2K followers/month
- + Active posting schedule (1.0 videos/week)
- + Verified account with platform credibility
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 @ser_jay reveals a macro (1m+) TikTok presence with 7,800,000 followers. The account demonstrates an engagement rate of 16.97%, averaging 3.7M plays per video across 34 analyzed videos. Key strengths include 500.2M total hearts and verified status, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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Start SearchingAbout This Analysis: This analysis is based on a snapshot of @ser_jay'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