Ryan Babel
I won't always say the right thing but my heart is always in the right place !!! #Underrated // #Bitcoin
735.945
Followers
541
Following
2.745
Tweets
1.585,9
Avg Engagement
4.014
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Ryanbabel'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:2009-11-23
- Verification:No
- Location:İstanbul, Türkiye
Data Summary
- Tweets Analyzed:2.265
- Avg Likes per Tweet:977,3
- Avg Retweets per Tweet:608,6
- Followers Analyzed:50.000
Engagement Analysis
Based on 2.265 tweetsHis tweets receive substantial engagement, indicating a loyal and active audience. The average likes and retweets suggest a strong connection with his followers.
977,3
Avg Likes/Tweet
608,6
Avg Retweets/Tweet
2.213.599
Total Likes
1.378.477
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
67
Median Likes
4
Median Retweets
581
75th Percentile
549.224
Top Tweet
2,15
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
69,8%
Original
19,0%
Replies
10,8%
Retweets
0,4%
Quotes
0,0%
Threads
0,1%
With Media
18,1%
With Links
14,7%
With #Tags
35,0%
With @Mentions
34,1%
With Emojis
53
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,27
Reply/Original Ratio
0,04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70,1%
Weekday Posts
29,9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2.265 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 244 retweets (11% 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 2.265 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 followersHis audience likely includes sports fans and cryptocurrency enthusiasts. The mix of personal and sports-related content suggests a broad but engaged following.
Average
Audience Quality
27,8%
Suspicion Index
33,3%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44,9%
Empty Bio
32,1%
<10 Tweets
12,4%
Mass Following (>2K)
0,0%
New (<90 days)
58,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,9%
No URL
21,6%
<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.
53.633.803
Total Potential Reach
22
Median Follower Reach
123
75th Percentile Reach
5,3%
>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).
46,5%
Creators
23.262 accounts
21,3%
Consumers
10.667 accounts
32,1%
Dormant
16.071 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):
473
Verified Followers
0.47% of total
11.233
Protected Accounts
11.12% 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 |
|---|---|---|---|
| @JohnCena | 14.105.170 | Wrestler | Wrestling, Motivation, Self-promotion |
| @David_Ornstein | 1.883.956 | Football Correspondent | - |
| @KameronBennett | 1.811.759 | DJ | Music, DJing, Booking |
| @erenerdemnet | 1.708.490 | Politician | Gazeteci, Yazar, Demokrat |
| @BafGomis | 1.592.869 | Footballer | Football, Lion, Snapchat |
| @JDaIey | 1.227.453 | Owner | Esports, Gaming, Sponsorship |
| @futbolarena | 1.115.273 | Sports Media | Football, Digital Content, Platform |
| @BoredApeYC | 1.060.186 | NFT Creator | NFTs, Membership, Discord |
| @_AAlbayrak | 1.025.579 | Businessman | Travel, Tourism, Management |
| @scottmelker | 891.426 | Crypto Investor | Crypto, DJ, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48.996
Followers With Bio
52.003
Followers Without Bio
48.51%
% With Bio
51.49%
% 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 2.265 analyzed1.005.213
Combined Engagement
0
Total Likes
1.005.213
Total Retweets
201.043
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Twitter: hello literally everyone
RT @LFC: WE’RE PREMIER LEAGUE CHAMPIONS!! 🏆 https://t.co/qX7Duxoslm
RT @elonmusk: 🇲🇦🇲🇦 Congrats Morocco!! 🇲🇦🇲🇦
RT @LFC: WHAT A SPECIAL NIGHT!!! WE'RE GOING TO THE CHAMPIONS LEAGUE FINAL!! https://t.co/p9JxS3cfZS
RT @BenjaminEnfield: So, someone deleted large sections of the routing....that doesn't mean Facebook is just down, from the looks of it....…
Key Insights & Takeaways
His top tweets include personal celebrations and sports-related content, indicating a mix of personal and public engagement. He uses hashtags like #Underrated and #Bitcoin, highlighting his personal interests and self-promotion. His verified status is low, suggesting he may not be a public figure or brand.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 735.945
- + 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 @Ryanbabel reveals an exceptionally influential Twitter presence with 735.945 followers. The account demonstrates a content-creator strategy, averaging 1.585,9 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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