2.3M
Followers
1
Following
32.0M
Total Hearts
57
Videos
561.4K
Avg Hearts/Video
18.21%
Engagement Rate
7.5y
Account Age
25.6K
Followers/Month
356.7K
Hearts/Month
0.6
Videos/Month
Account Overview
What This Report Covers
The account @yazdemand has 2,300,000 followers, with each video averaging 1,420,434 views, resulting in a total reach of approximately 80.96 million views across 57 videos. The engagement rate of 18.21% and 32,000,000 total likes demonstrate strong audience interaction, reflecting a highly engaged follower base.
Account Classification
| Account Size | Macro (1M+) |
| Account Age | 2018-09-02 |
| Verification | Yes |
| Language | EN |
| Follower Ratio | 2.3M:1 |
Data Summary
| Videos Analyzed | 32 |
| Avg Plays per Video | 1,420,434 |
| Avg Likes per Video | 254,004 |
| Engagement Rate | 18.21% |
Engagement Analysis
Based on 32 videos
The @yazdemand account demonstrates strong engagement metrics, with an overall engagement rate of 18.21%. This rate is calculated based on the average likes (254,004), comments (1,225), and shares (3,491) per video, relative to its 2.3 million followers. The high engagement rate indicates that the content is effectively resonating with the audience, as 18.21% of followers interact with each video on average. The dominance of likes (254,004) over comments and shares suggests a preference for passive engagement, which is common for content that prioritizes virality or entertainment over discussion. Audience interaction patterns reveal a clear hierarchy in engagement types. Shares (3,491 per video) outpace comments (1,225), indicating that the audience is more likely to redistribute content than engage in dialogue. This could reflect content that is highly shareable, such as tutorials, trends, or emotionally resonant moments, which encourage viewers to share without requiring deeper interaction. Comments, while lower, still represent a meaningful 0.05% of followers per video, suggesting some level of audience participation, though it may be limited by the nature of the content or audience preferences. The metrics highlight a content strategy that emphasizes broad reach and shareability. The high likes and shares per video, combined with a substantial follower base, suggest that the account’s content is both popular and widely consumed. However, the relatively low comment count may indicate that the audience is less inclined to engage in discussions or that the content is designed for quick consumption rather than fostering debate. This balance of engagement types underscores a focus on scalability and virality, which aligns with the account’s ability to maintain a high overall engagement rate.
1.4M
Avg Plays/Video
254.0K
Avg Likes/Video
1.2K
Avg Comments/Video
3.5K
Avg Shares/Video
10.6K
Avg Saves/Video
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2.4M
Median Plays
397.9K
Median Likes
4.4M
75th Percentile
8.8M
Top Video
112.49
Engagement per 1K Followers
Normalized influence metric
Total Engagement (Sample)
45,453,900
Total Plays
8,128,139
Total Likes
39,213
Total Comments
111,709
Total Shares
337,876
Total Saves
Engagement Ratios
Per-view engagement breakdown
17.88%
Likes / Views
0.09%
Comments / Views
0.25%
Shares / Views
0.74%
Saves / Views
Viral Hit Rate
Videos exceeding 2x and 5x average views
9.40%
2x Avg (3 of 32)
0%
5x Avg (2 of 32)
Consistency Score
How predictable the view count is across videos
C
CV: 1.42
Lower CV = more consistent performance
Estimated Earnings
Revenue estimates based on follower count and average video performance
Creator Fund (Est. Monthly)
Based on avg 1.4M views/video
$17 – $34
$0.02 - $0.04 per 1,000 views
Sponsorship Value (Est. Per Post)
Based on 2.3M followers (Macro (1M+))
$11,500 – $27,600
Industry rate for macro (1m+) creators
Content Strategy Analysis
Based on 32 videos
The content strategy for @yazdemand is heavily reliant on branded collaborations and sponsored content, as evidenced by the top hashtags. The #ad tag, used four times, indicates a significant focus on sponsored posts, likely aligning with influencer marketing campaigns. Brand-specific hashtags such as #kerastase, #coachny, #hmstudio, and #hm suggest partnerships with luxury fashion and beauty brands. These tags point to a thematic emphasis on high-end fashion, skincare, and lifestyle products. However, the absence of primary content categories limits deeper analysis of thematic consistency, as the data does not specify whether the content revolves around makeup tutorials, fashion hauls, or other niche topics. The inclusion of #makeup (used once) hints at a potential overlap with beauty content, but this remains speculative without explicit category data. The strategic use of hashtags reflects a deliberate effort to align with brand campaigns and audience interests. The recurring #ad tag underscores a focus on monetization through partnerships, while brand-specific tags like #nyfw and #coachspring26 suggest alignment with fashion events or seasonal collections. The hashtag #bfas (used once) may indicate a niche audience interest in beauty or fashion awards. However, the limited number of top hashtags and their varied relevance to specific content types (e.g., #coachspring26 vs. #hm) suggest a fragmented approach to thematic consistency. Without content categories, it is unclear whether these hashtags are strategically grouped around a unified theme or used opportunistically. The data highlights a brand-centric strategy but lacks the granularity to assess cohesive content themes.
Video Duration Breakdown
23s
Average Duration
Original Sound Usage
Percentage of videos using the creator's own audio
Content Details
0
Pinned Videos
93.8%
Duet Enabled
93.8%
Stitch Enabled
Average caption length: 21 characters
Content Languages:
Posting Patterns & Optimal Timing
Based on 32 videos
Posting Frequency
| Videos per Week | 0.2 |
| Avg Gap Between Posts | 783.1h |
| Data Range | 1011 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 @yazdemand'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
25.5M
Combined Plays (Top 5)
5.1M
Combined Likes (Top 5)
5.1M
Avg Plays per Top Video
Elle
8.8M
Views
2.1M
Likes
10.7K
Comments
29.5K
Shares
86.5K
Saves
Happy Heartstopper Day
7.5M
Views
1.2M
Likes
4.1K
Comments
15.2K
Shares
56.9K
Saves
(No caption)
2.4M
Views
545.9K
Likes
2.7K
Comments
11.0K
Shares
26.5K
Saves
(No caption)
2.4M
Views
435.0K
Likes
2.4K
Comments
4.2K
Shares
17.3K
Saves
🐾
1.8M
Views
209.1K
Likes
722
Comments
1.6K
Shares
7.2K
Saves
That’s all.
1.8M
Views
312.8K
Likes
1.0K
Comments
3.5K
Shares
13.2K
Saves
(No caption)
1.3M
Views
284.4K
Likes
1.0K
Comments
5.6K
Shares
11.2K
Saves
Most Common Words
Top Sounds
Key Insights & Takeaways
Key Takeaways
Strengths
- + Strong engagement rate above platform average
- + Established follower base of 2,300,000
- + Consistent growth at 25.6K 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 @yazdemand reveals a macro (1m+) TikTok presence with 2,300,000 followers. The account demonstrates an engagement rate of 18.21%, averaging 1.4M plays per video across 32 analyzed videos. Key strengths include 32.0M 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 @yazdemand's TikTok profile and recent videos. It evaluates content strategy, engagement patterns, and posting behavior. Metrics are based on 32 analyzed videos.
Data collected and analyzed by TKMetrics | Analysis date: Feb 24, 2026