Revealed Music
@Hardwell's Label @RevealedRec @gemstonerec | https://www.revealedrecordings.com/demo | Merch: https://revealedclothing.com/ | https://www.facebook.com/unsupportedbrowser |
267,495
Followers
451
Following
12,620
Tweets
56.3
Avg Engagement
548
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RevealedRec'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:2010-03-12
- Verification:No
- Location:The Netherlands
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:43.1
- Avg Retweets per Tweet:13.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account shows high engagement with its tweets, often receiving likes and retweets from its followers. The content is well-received, with notable tweets gaining significant attention.
43.1
Avg Likes/Tweet
13.2
Avg Retweets/Tweet
140,047
Total Likes
43,062
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
22
Median Likes
5
Median Retweets
68
75th Percentile
4,371
Top Tweet
0.21
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
86.0%
Original
3.1%
Replies
10.1%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
93.2%
With Links
43.0%
With #Tags
71.5%
With @Mentions
46.9%
With Emojis
131
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
93.5%
Weekday Posts
6.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 329 retweets (10% 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 3,250 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 primarily composed of fans of electronic music and artists like Hardwell, Tiesto, and Daft Punk. They are likely interested in event updates, artist news, and music-related content.
Average
Audience Quality
29.0%
Suspicion Index
30.2%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.2%
Empty Bio
39.7%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
66.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.9%
No URL
26.2%
<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.
23,858,102
Total Potential Reach
12
Median Follower Reach
67
75th Percentile Reach
3.3%
>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).
34.9%
Creators
17,428 accounts
25.5%
Consumers
12,738 accounts
39.7%
Dormant
19,834 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):
315
Verified Followers
0.31% of total
8,478
Protected Accounts
8.39% of total
6 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 |
|---|---|---|---|
| @afrojack | 2,501,572 | DJ | Music, DJing, Producer |
| @6BillionPeople | 2,035,160 | - | - |
| @KameronBennett | 1,813,114 | DJ | Music, DJing, Booking |
| @DillonFrancis | 1,014,889 | Musician | Music, Comedy, EDM |
| @danielsahyounie | 972,601 | Entertainer | comedy, music, social media |
| @IAmAlanWalker | 855,591 | Musician | Music, Album, Cover |
| @SleepSkee | 710,788 | Musician | Music, Independent, Artist |
| @PleasureEllis | 685,764 | Entertainer | Music, Transformation, Celebration |
| @solalexasch | 678,962 | Musician | Music, Travel, Tattoos |
| @Ibero909FM | 585,978 | Radio Host | Music, Radio, Digital |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,446
Followers With Bio
41,553
Followers Without Bio
58.86%
% With Bio
41.14%
% 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 3,250 analyzed11,846
Combined Engagement
6,430
Total Likes
5,416
Total Retweets
2,369
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @HARDWELL: One day you’ll leave this world behind, so live a life you will remember. 🖤
When @tiesto invites @HARDWELL on stage in his own hometown 🔥🔥🔥 https://t.co/AAKjVgsnze
Happy Birthday to the man himself @HARDWELL! 🥳 https://t.co/IcHCNUAIhb
Thank you Daft Punk ❤️ https://t.co/MnFz2LvwRc
Happy Birthday big boss @HARDWELL ! 🎉🎈 https://t.co/l8sDN8oljj
Key Insights & Takeaways
The account frequently highlights collaborations between major artists, which drives engagement and interest. It leverages fan appreciation by celebrating birthdays and expressing gratitude to influential artists. The use of links to merchandise and event pages suggests a focus on monetization and event promotion.
Strengths
- + Established follower base of 267,495
- + 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 @RevealedRec reveals an growing Twitter presence with 267,495 followers. The account demonstrates a content-creator strategy, averaging 56.3 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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