R Y L A N
Started off as the joke… Still laughing
1.774.893
Followers
2.868
Following
24.364
Tweets
1.347,4
Avg Engagement
1.108
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Rylan'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: Mega Influencer (1M+)
- Account Age:2009-10-03
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3.238
- Avg Likes per Tweet:1.251,5
- Avg Retweets per Tweet:95,9
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.238 tweetsHis tweets consistently receive high engagement, indicating a strong connection with his audience. The mix of humor and personal reflection keeps followers actively involved.
1.251,5
Avg Likes/Tweet
95,9
Avg Retweets/Tweet
4.052.227
Total Likes
310.513
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
47
Median Likes
1
Median Retweets
664
75th Percentile
115.309
Top Tweet
0,76
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
29,7%
Original
55,3%
Replies
8,5%
Retweets
6,4%
Quotes
0,0%
Threads
0,0%
With Media
28,5%
With Links
10,7%
With #Tags
72,7%
With @Mentions
25,1%
With Emojis
65
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,86
Reply/Original Ratio
0,75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73,3%
Weekday Posts
26,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.238 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 276 retweets (9% 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 3.238 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 followersRylan's audience includes a wide range of people, from casual followers to those interested in humor and social commentary. His content appeals to both younger and older demographics.
Average
Audience Quality
29,3%
Suspicion Index
41,9%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
56,5%
Empty Bio
38,3%
<10 Tweets
8,9%
Mass Following (>2K)
0,0%
New (<90 days)
55,4%
Low Ratio (<0.1)
0,0%
New (<180 days)
91,1%
No URL
27,2%
<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.
30.161.159
Total Potential Reach
19
Median Follower Reach
106
75th Percentile Reach
4,4%
>1K followers
0,6%
>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).
39,0%
Creators
19.524 accounts
22,7%
Consumers
11.327 accounts
38,3%
Dormant
19.149 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):
698
Verified Followers
0.7% of total
10.981
Protected Accounts
10.98% 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 | 14.105.372 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Nigella_Lawson | 2.757.477 | Chef | cooking, updates, contact |
| @adamlambert | 2.297.283 | Singer | Music, Performance, LGBTQ+ |
| @CPFC | 1.418.232 | Football Club | Football, Selhurst Park, Official |
| @SinghLions | 1.335.218 | Restaurateur | Food, Travel, Influencer |
| @druidDUDE | 1.285.107 | Actor | Nature, Magic, Druidry |
| @SadiqKhan | 1.153.424 | Politician | Politics, Environment, London |
| @vernonkay | 1.149.505 | TV Presenter | TV presenter, Radio host, Football fan |
| @edgarwright | 915.199 | Filmmaker | Movies, Music, Comedy |
| @DanielNewman | 813.352 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46.049
Followers With Bio
53.951
Followers Without Bio
46.05%
% With Bio
53.95%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.238 analyzed452.148
Combined Engagement
249.247
Total Likes
202.901
Total Retweets
90.430
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Cheers for ur messages. Proper decent. Not usually expected on here. Thank u x https://t.co/TMJAKiPdTr
RT @AFC_GLEN: French TV show invited people with unusual laughs to sit together….. the outcome is fucking brilliant. 😂 https://t.co/ysoYFeq…
RT @MariahCarey: Guess what? ❄️ https://t.co/2IUNkCOyCz
Whatever you think of the monarchy our queen has give her life serving this country. What a woman. God bless her ❤️
He’s officially broke the law . That’s it ain’t it?
Key Insights & Takeaways
Rylan's humor often serves as a way to connect with his audience on a personal level His tweets frequently touch on personal experiences and emotions, making them relatable He balances light-hearted content with more serious reflections, which broadens his appeal
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1.774.893
- + High community engagement through conversations
- + 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 @Rylan reveals an exceptionally influential Twitter presence with 1.774.893 followers. The account demonstrates a conversation-first approach, averaging 1.347,4 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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