54.9M
Followers
319
Following
1800.0M
Total Hearts
1.5K
Videos
1.2M
Avg Hearts/Video
5.63%
Engagement Rate
6.4y
Account Age
717.5K
Followers/Month
23.5M
Hearts/Month
19.1
Videos/Month
Account Overview
What This Report Covers
The @bayashi.tiktok account has 54.9 million followers, demonstrating significant scale. With 1.8 billion total likes and an average video view count of 12.8 million, the account achieves substantial reach. The 5.63% engagement rate highlights strong audience interaction relative to its follower base.
Account Classification
| Account Size | Mega (10M+) |
| Account Age | 2019-10-08 |
| Verification | Yes |
| Language | JA |
| Follower Ratio | 172K:1 |
Data Summary
| Videos Analyzed | 35 |
| Avg Plays per Video | 12,846,426 |
| Avg Likes per Video | 704,329 |
| Engagement Rate | 5.63% |
Engagement Analysis
Based on 35 videos
@bayashi.tiktok’s engagement metrics demonstrate exceptional audience interaction. With 54.9 million followers, the account achieves an average of 704,329 likes per video, 4,369 comments, and 14,676 shares, resulting in an overall engagement rate of 5.63%. This rate is notably higher than the typical 2-3% range for most TikTok accounts, indicating strong resonance with its audience. The dominance of likes (704k) over comments (4.3k) and shares (14.6k) suggests that viewers primarily engage through approval rather than discussion or sharing, which is common for content that prioritizes visual appeal or emotional impact. The metrics highlight a highly active audience, with shares (14.6k) reflecting content that is deemed valuable enough to be recommended to others. Comments, while lower than likes, still indicate meaningful interaction, with viewers contributing feedback or reactions. The combination of high likes and shares suggests the content is both entertaining and shareable, likely due to its ability to spark widespread interest or emotional connection. However, the relatively low comment count compared to likes may indicate that the audience prefers passive engagement over dialogue, or that the content’s format (e.g., short-form, visual-centric) minimizes textual interaction. The 5.63% engagement rate, when calculated as (likes + comments + shares) / followers, aligns with the provided metrics. This rate underscores the account’s ability to maintain high interaction despite its massive follower base, which is rare. The consistency of these metrics across videos implies a well-optimized content strategy, likely leveraging trends, high-quality production, or niche appeal to sustain engagement. The data confirms that @bayashi.tiktok’s content is both widely consumed and actively engaged with, positioning it as a top-tier account in terms of audience interaction.
12.8M
Avg Plays/Video
704.3K
Avg Likes/Video
4.4K
Avg Comments/Video
14.7K
Avg Shares/Video
51.5K
Avg Saves/Video
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12.3M
Median Plays
625.7K
Median Likes
24.6M
75th Percentile
254.9M
Top Video
13.18
Engagement per 1K Followers
Normalized influence metric
Total Engagement (Sample)
449,624,900
Total Plays
24,651,500
Total Likes
152,911
Total Comments
513,663
Total Shares
1,802,152
Total Saves
Engagement Ratios
Per-view engagement breakdown
5.48%
Likes / Views
0.03%
Comments / Views
0.11%
Shares / Views
0.40%
Saves / Views
Viral Hit Rate
Videos exceeding 2x and 5x average views
5.70%
2x Avg (2 of 35)
0%
5x Avg (1 of 35)
Consistency Score
How predictable the view count is across videos
D
CV: 3.37
Lower CV = more consistent performance
Estimated Earnings
Revenue estimates based on follower count and average video performance
Creator Fund (Est. Monthly)
Based on avg 12.8M views/video
$4,907 – $9,815
$0.02 - $0.04 per 1,000 views
Sponsorship Value (Est. Per Post)
Based on 54.9M followers (Mega (10M+))
$274,500 – $658,800
Industry rate for mega (10m+) creators
Content Strategy Analysis
Based on 35 videos
The account’s content strategy is heavily centered around food-related themes, with #tiktokfood being the most frequently used hashtag (25x). This suggests a strong focus on food content, likely emphasizing visually appealing or trending food-related videos. While other hashtags like #asmr (2x) and #pr (2x) indicate occasional diversification into ASMR or promotional content, the majority of the account’s activity appears to revolve around food. The inclusion of niche hashtags such as #oreo (1x) and #japanesefood (1x) hints at a potential emphasis on specific food items or regional cuisines, though the lack of primary content category data limits confirmation of this focus. The strategic use of hashtags reflects a mix of broad platform-specific trends (#tiktokfood) and localized or niche interests (#地産地消, #群馬県産ほうれん草). This combination may aim to balance virality with audience specificity, targeting both general food enthusiasts and regional audiences interested in local products. However, the limited frequency of non-food hashtags (all used ≤2x) suggests these are likely supplementary or experimental elements rather than core themes. The absence of primary content category data prevents deeper analysis of thematic consistency across video types.
Video Duration Breakdown
38s
Average Duration
Original Sound Usage
Percentage of videos using the creator's own audio
Content Details
1
Pinned Videos
100.0%
Duet Enabled
100.0%
Stitch Enabled
Average caption length: 39 characters
Content Languages:
Posting Patterns & Optimal Timing
Based on 35 videos
Posting Frequency
| Videos per Week | 0.2 |
| Avg Gap Between Posts | 712.9h |
| Data Range | 1010 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 @bayashi.tiktok'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
363.1M
Combined Plays (Top 5)
20.1M
Combined Likes (Top 5)
72.6M
Avg Plays per Top Video
Pinned Video
Videos pinned to the top of @bayashi.tiktok's profile page
Snack vs Movie Intro #tiktokfood
56.1M
Views
2.5M
Likes
5.9K
Comments
126.4K
Shares
309.2K
Saves
This Snack Didn’t Survive the Intro #tiktokfood
24.6M
Views
752.2K
Likes
2.6K
Comments
39.9K
Shares
92.7K
Saves
Snack vs Movie Intro
15.1M
Views
376.6K
Likes
1.4K
Comments
11.0K
Shares
35.9K
Saves
Oyster Kimchi 🦪🌶️ #tiktokfood
12.4M
Views
777.6K
Likes
1.7K
Comments
25.4K
Shares
32.0K
Saves
Snack vs Movie Intro – Part 3 #tiktokfood
12.3M
Views
695.3K
Likes
2.6K
Comments
58.3K
Shares
119.1K
Saves
Teamwork 🏐
11.1M
Views
556.1K
Likes
2.8K
Comments
39.7K
Shares
37.0K
Saves
#tiktokfood #fish
10.6M
Views
434.3K
Likes
6.0K
Comments
40.7K
Shares
22.6K
Saves
#tiktokfood
4.6M
Views
240.9K
Likes
1.8K
Comments
5.3K
Shares
13.0K
Saves
Just Making Normal Pasta in Japan 🍝 #tiktokfood
4.2M
Views
228.5K
Likes
1.1K
Comments
1.9K
Shares
14.4K
Saves
Most Common Words
Top Sounds
Key Insights & Takeaways
Key Takeaways
Strengths
- + Strong engagement rate above platform average
- + Established follower base of 54,900,000
- + Consistent growth at 717.5K followers/month
- + Active posting schedule (0.2 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 @bayashi.tiktok reveals a mega (10m+) TikTok presence with 54,900,000 followers. The account demonstrates an engagement rate of 5.63%, averaging 12.8M plays per video across 35 analyzed videos. Key strengths include 1800.0M 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 @bayashi.tiktok's TikTok profile and recent videos. It evaluates content strategy, engagement patterns, and posting behavior. Metrics are based on 35 analyzed videos.
Data collected and analyzed by TKMetrics | Analysis date: Feb 24, 2026