Columbia Records
758,778
Followers
677
Following
40,068
Tweets
15,808.3
Avg Engagement
3,048
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ColumbiaRecords'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: Macro Influencer (100K+)
- Account Age:2009-06-18
- Verification:No
- Location:NY / LA
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:4,322.6
- Avg Retweets per Tweet:11,485.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,247 tweetsThe account has an average of 335,990 likes and 88,169 retweets per tweet, showing high engagement. The verified status of 0.6% indicates a mix of official and personal accounts.
4,322.6
Avg Likes/Tweet
11,485.7
Avg Retweets/Tweet
14,035,552
Total Likes
37,293,983
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
110
Median Retweets
3,188
75th Percentile
601,765
Top Tweet
20.83
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
37.2%
Original
5.9%
Replies
56.3%
Retweets
0.6%
Quotes
0.0%
Threads
0.6%
With Media
77.7%
With Links
29.9%
With #Tags
82.6%
With @Mentions
27.6%
With Emojis
88
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.0%
Weekday Posts
18.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 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 1,829 retweets (56% 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 3,247 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 50,000 followersThe audience is likely fans of BTS and K-pop, as well as music enthusiasts interested in new releases. The account's focus on BTS-related content suggests a dedicated fan base.
Average
Audience Quality
33.2%
Suspicion Index
41.9%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.6%
Empty Bio
51.7%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
67.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
38.2%
<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.
43,833,167
Total Potential Reach
8
Median Follower Reach
56
75th Percentile Reach
3.2%
>1K followers
0.4%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
27.9%
Creators
13,933 accounts
20.5%
Consumers
10,234 accounts
51.7%
Dormant
25,833 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):
604
Verified Followers
0.6% of total
10,318
Protected Accounts
10.22% of total
3 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 |
|---|---|---|---|
| @JohnCena | 14,105,106 | Wrestler | Wrestling, Motivation, Self-promotion |
| @johnlegend | 13,628,552 | Singer | Music, Family, Wine |
| @whoisaddison | 4,843,142 | - | - |
| @THR | 3,459,797 | Entertainment News | Entertainment, News, Reviews |
| @MrPeterAndre | 3,090,642 | Entertainer | Family, Music, Television |
| @SinghLions | 1,335,029 | Restaurateur | Food, Travel, Influencer |
| @rcavada | 1,137,958 | Journalist | News, Television, Journalism |
| @romi_chase | 1,101,375 | Model | BBW, Content Creator, Plus Size |
| @AriMelber | 960,049 | Journalist | Legal, Politics, News |
| @sonyxperia | 928,615 | Technology | technology, smartphones, innovation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,914
Followers With Bio
39,085
Followers Without Bio
61.3%
% With Bio
38.7%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed2,936,524
Combined Engagement
942,728
Total Likes
1,993,796
Total Retweets
587,305
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
WHAT’S MELTING // BUTTER CARD 1.0 #BTS_Butter // @bts_bighit // https://t.co/RZtz74AHSy https://t.co/QUi65b9O1Y
RT @BIGHIT_MUSIC: #BTS #방탄소년단 #BTS_Butter Concept Clip - 정국 (Jung Kook) https://t.co/xRwp5Arev4
RT @billboardcharts: The #Hot100 top 10 (chart dated Sept. 5, 2020) https://t.co/lwlyzpueqk
#BTS_BE @bts_bighit https://t.co/ej7smNH44J https://t.co/4AsVo1cXCU
RT @BTS_twt: Time 📸 https://t.co/x9t9jMxzbd
Key Insights & Takeaways
The account heavily promotes BTS music and related content, indicating a strong brand alignment. It uses multiple links per tweet, possibly for pre-save or pre-add campaigns. The engagement metrics suggest a highly active and loyal fan base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 758,778
- + 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 @ColumbiaRecords reveals an exceptionally influential Twitter presence with 758,778 followers. The account demonstrates a content-creator strategy, averaging 15,808.3 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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