Epic Records
#BeEpic
393,772
Followers
5,416
Following
23,602
Tweets
1,200.5
Avg Engagement
2,414
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Epic_Records'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:2009-06-12
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:196.2
- Avg Retweets per Tweet:1,004.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsEpic Records achieves high engagement with an average of 9,804 likes and 3,962 retweets per tweet, indicating strong audience interaction. The use of trending topics and collaborations boosts visibility.
196.2
Avg Likes/Tweet
1,004.3
Avg Retweets/Tweet
636,528
Total Likes
3,259,091
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
17
Median Retweets
394
75th Percentile
458,012
Top Tweet
3.05
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
49.5%
Original
6.3%
Replies
32.8%
Retweets
11.3%
Quotes
0.0%
Threads
0.1%
With Media
84.0%
With Links
38.7%
With #Tags
86.0%
With @Mentions
56.1%
With Emojis
99
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.13
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
91.8%
Weekday Posts
8.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 1,065 retweets (33% 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 3,245 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 primarily consists of music fans and industry professionals interested in new releases and artist updates. The verified status suggests a focus on credibility and brand authority.
Average
Audience Quality
26.2%
Suspicion Index
24.5%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.6%
Empty Bio
34.0%
<10 Tweets
13.3%
Mass Following (>2K)
0.0%
New (<90 days)
58.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
74.4%
No URL
22.4%
<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.
67,029,305
Total Potential Reach
23
Median Follower Reach
131
75th Percentile Reach
5.4%
>1K followers
0.7%
>10K followers
0.2%
>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).
41.4%
Creators
20,686 accounts
24.6%
Consumers
12,319 accounts
34.0%
Dormant
16,995 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):
1,159
Verified Followers
1.15% of total
8,662
Protected Accounts
8.58% of total
5 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 | 14,104,489 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CodySimpson | 6,670,160 | Singer | Music, Surfing, Environmentalism |
| @OzzyOsbourne | 5,548,646 | Musician | Music, Rock, Legend |
| @IAMJHUD | 4,039,011 | Entertainer | Music, Acting, Film |
| @THR | 3,459,361 | Entertainment News | Entertainment, News, Reviews |
| @radioleary | 2,657,795 | - | - |
| @MTVUK | 2,425,304 | Entertainment | Little Mix, HERSTORY, BRITs |
| @SoundCloud | 2,292,415 | Musician | Music, Fair pay, Fan-powered royalties |
| @chartdata | 2,013,287 | Music Analyst | music charts, awards, industry news |
| @emicida | 1,961,784 | Rapper | Music, Performance, Netflix |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
76,961
Followers With Bio
24,038
Followers Without Bio
76.2%
% With Bio
23.8%
% 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 3,245 analyzed830,166
Combined Engagement
34,814
Total Likes
795,352
Total Retweets
166,033
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @MariahCarey: Challenge accepted! #bottletopchallenge https://t.co/Rygijd6z5W
RT @MariahCarey: Breaking news ❄️ https://t.co/PBwOYLRpJK
RT @trvisXX: !!!! https://t.co/Gz1VzrB3vJ
RT @trvisXX: LOOK MOM I CAN FLY !!! OUT NOW ON @netflix https://t.co/c6AzpOq5Qp
✌️ @Camila_Cabello x @OfficialMonstaX ✌️ https://t.co/EJIPzunmul
Key Insights & Takeaways
The account frequently collaborates with popular artists like Camila Cabello and Monsta X, which drives engagement and expands reach. Promotional content such as event announcements and music video highlights keeps the audience informed and interested. Verified accounts and strategic partnerships enhance trust and credibility among followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 393,772
- + 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 @Epic_Records reveals an exceptionally influential Twitter presence with 393,772 followers. The account demonstrates a content-creator strategy, averaging 1,200.5 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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