Abel Ramos
Dj ,Producer with releases on Spinnin- Armada-Subliminal-Toolroom-Axtone-Size-MusicalFreedom-Doorn -General enquiries : carlos@rumblefishco.com
93,502
Followers
174
Following
17,929
Tweets
49.7
Avg Engagement
291
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @djabelramos'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:2009-11-20
- Verification:No
- Location:Madrid Spain
Data Summary
- Tweets Analyzed:3,189
- Avg Likes per Tweet:4.1
- Avg Retweets per Tweet:45.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,189 tweetsThe average engagement per tweet is moderate, with likes and retweets indicating a dedicated fan base interested in event announcements and music releases.
4.1
Avg Likes/Tweet
45.6
Avg Retweets/Tweet
13,143
Total Likes
145,502
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
6
75th Percentile
64,460
Top Tweet
0.53
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
81.8%
Original
3.6%
Replies
14.6%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
61.3%
With Links
58.5%
With #Tags
65.8%
With @Mentions
21.8%
With Emojis
115
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.04
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
48.8%
Weekday Posts
51.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,189 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 464 retweets (15% 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 3,189 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 appears to be music enthusiasts and festival-goers, particularly interested in electronic music and events like Tomorrowland.
Average
Audience Quality
23.2%
Suspicion Index
23.7%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.4%
Empty Bio
28.6%
<10 Tweets
13.8%
Mass Following (>2K)
0.0%
New (<90 days)
46.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.1%
No URL
16.0%
<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.
30,234,882
Total Potential Reach
35
Median Follower Reach
182
75th Percentile Reach
6.2%
>1K followers
1.3%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
44.9%
Creators
4,490 accounts
26.5%
Consumers
2,647 accounts
28.6%
Dormant
2,863 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):
41
Verified Followers
0.41% of total
1,026
Protected Accounts
10.26% of total
7 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 | 14,093,193 | Wrestler | Wrestling, Motivation, Self-promotion |
| @6BillionPeople | 2,025,063 | - | - |
| @JDaIey | 1,244,370 | Owner | Esports, Gaming, Sponsorship |
| @CSuiteConfess | 994,632 | Executive Coach | #MeToo, Executives, Navigating |
| @ZachBoychuk | 827,859 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @El_Ciudadano | 581,998 | Journalist | Prensa, Libertaria, Denuncia |
| @djkingassassin | 467,134 | DJ | Music, Club, Producer |
| @SoundHub | 445,243 | Record Label | Music, Recording, Development |
| @wellbelove | 422,187 | Marketer | marketer, presenter, councillor |
| @OldPhotosBacon | 397,714 | Collector | Old Photos, Bacon, Amusing Stuff |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,858
Followers With Bio
3,142
Followers Without Bio
68.58%
% With Bio
31.42%
% 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 3,189 analyzed135,384
Combined Engagement
0
Total Likes
135,384
Total Retweets
27,077
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @isco_alarcon: Una profesión, dos varas de medir , vergonzoso🤮 https://t.co/HQnj4V2MoY
RT @Korah_FF: OPINAR EN TWITTER https://t.co/VPxScgVPZy
RT @FranReyes84: No digas nada, sólo retuitea #Eurovision #EurovisionRTVE #OrgulloEspañol https://t.co/FbEh5x8tdc
RT @PReina25: Hace falta ser hp🤬🤬🤬🤬 https://t.co/uQNgZPKT3D
RT @bbcmundo: China asegura que la vacuna cumple con los estándares internacionales y que está lista para "una producción a gran escala, segura y efectiva". https://t.co/mxFVkyqp6R
Key Insights & Takeaways
The user frequently promotes events and collaborations, which likely drive engagement. Their bio highlights key labels and festivals, suggesting a focus on industry connections. They use multiple links per tweet, possibly for ticket sales or additional content.
Strengths
- + Established follower base of 93,502
- + 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 @djabelramos reveals an growing Twitter presence with 93,502 followers. The account demonstrates a content-creator strategy, averaging 49.7 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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