Chancellor
챈슬러
85,667
Followers
5
Following
5,791
Tweets
193.9
Avg Engagement
1,346
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dearchancellor's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Mid-Tier (10K+)
- Account Age:2010-02-13
- Verification:Yes
- Location:대한민국 서울
Data Summary
- Tweets Analyzed:3,134
- Avg Likes per Tweet:16.8
- Avg Retweets per Tweet:177.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,134 tweetsChancellor's tweets receive an average of 2,800 likes and 1,070 retweets, indicating strong audience interaction. Their content is often shared with relevant hashtags and links to music videos.
16.8
Avg Likes/Tweet
177.1
Avg Retweets/Tweet
52,582
Total Likes
555,078
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
6
Median Retweets
32
75th Percentile
288,462
Top Tweet
2.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
53.3%
Original
30.1%
Replies
16.6%
Retweets
0.0%
Quotes
0.0%
Threads
0.9%
With Media
32.5%
With Links
9.6%
With #Tags
57.7%
With @Mentions
5.3%
With Emojis
69
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,134 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 519 retweets (17% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,134 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersTheir audience primarily consists of K-pop fans and music enthusiasts who follow their vocal performances and collaborations. The audience is engaged with their content and shares their posts widely.
Average
Audience Quality
29.1%
Suspicion Index
37.3%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.2%
Empty Bio
37.5%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
63.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
25.5%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
2,662,236
Total Potential Reach
17
Median Follower Reach
86
75th Percentile Reach
2.5%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
42.6%
Creators
4,256 accounts
19.9%
Consumers
1,990 accounts
37.5%
Dormant
3,754 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
10
Verified Followers
0.1% of total
1,081
Protected Accounts
10.81% of total
8 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @PleasureEllis | 682,852 | Entertainer | Music, Transformation, Celebration |
| @ItsJRE | 160,409 | Content Creator | Music, Videos, Random |
| @Gsoullove | 83,828 | Musician | Music, Soul, Love |
| @nammoonkey | 80,768 | Real Estate | real estate, community leader, public speaker |
| @1986LHJ | 79,137 | Tenor | Music, Writing, Traveling |
| @SimonJakops | 47,681 | Executive Producer | Gaming, Entertainment, Production |
| @allkpopTHESHOP | 44,714 | K-Pop Merchandise | K-POP, Apparel, Headwear |
| @HiphopKR | 20,828 | - | - |
| @conferlist | 20,785 | - | - |
| @Genius_kor | 20,549 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,082
Followers With Bio
4,918
Followers Without Bio
50.82%
% With Bio
49.18%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,134 analyzed348,396
Combined Engagement
15,792
Total Likes
332,604
Total Retweets
69,679
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @RealPaulWalker: It's with a heavy heart that we must confirm Paul Walker passed away today in a tragic car accident...MORE: http://t.co/9hDuJMH99M - #TeamPW
RT @BrunoMars: Got these Bootleg CDs . #WhatayaGonnaDo? #Bangkok http://t.co/JBB0NKibXO
Supported JIMIN with my voice in ‘Set Me Free Pt.2’ 👑 Credit: Chorus vocals
RT @TMZ: A rep for Paul Walker confirms to TMZ the actor died today in the crash after leaving a charity event.
RT @JohnMayer: Great minds think alone.
Key Insights & Takeaways
Chancellor is actively involved in K-pop collaborations and vocal performances. Their content is highly engaging and often includes multimedia elements like videos and links. They use hashtags effectively to increase visibility and reach a broader audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 85,667
- + Strong original content creation
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @dearchancellor reveals an well-established Twitter presence with 85,667 followers. The account demonstrates a content-creator strategy, averaging 193.9 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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