Liam Riley
Business Inquiries: [email protected]
71,792
Followers
903
Following
10,052
Tweets
277.7
Avg Engagement
193
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @liamrileycb'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:2011-11-23
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:1,903
- Avg Likes per Tweet:37.4
- Avg Retweets per Tweet:240.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,903 tweetsHis tweets typically receive an average of 334 likes and 94 retweets, indicating moderate to high engagement. The inclusion of multiple links in his tweets suggests a focus on driving traffic to external content.
37.4
Avg Likes/Tweet
240.4
Avg Retweets/Tweet
71,108
Total Likes
457,432
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
2
Median Retweets
55
75th Percentile
84,259
Top Tweet
3.87
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
84.2%
Original
7.1%
Replies
6.1%
Retweets
2.6%
Quotes
0.0%
Threads
0.4%
With Media
8.1%
With Links
1.8%
With #Tags
22.5%
With @Mentions
36.4%
With Emojis
71
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.1%
Weekday Posts
24.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,903 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 116 retweets (6% 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 1,903 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 followersHis audience appears to be interested in entertainment, possibly adult content, and collaborations. The use of explicit language and references suggests a niche audience with specific interests.
Below Average
Audience Quality
35.3%
Suspicion Index
36.4%
Low-Quality %
53
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.5%
Empty Bio
29.3%
<10 Tweets
32.5%
Mass Following (>2K)
0.0%
New (<90 days)
71.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
21.3%
<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.
24,661,128
Total Potential Reach
53
Median Follower Reach
171
75th Percentile Reach
6.8%
>1K followers
1.9%
>10K followers
0.8%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
52.7%
Creators
5,266 accounts
18.0%
Consumers
1,800 accounts
29.3%
Dormant
2,934 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):
74
Verified Followers
0.74% of total
2,836
Protected Accounts
28.36% of total
4 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 |
|---|---|---|---|
| @MiaMalkova | 3,452,464 | Adult entertainer | Nature, Instagram, Onlyfans |
| @TylerWu_97 | 833,957 | Boys' Love Author | Boys' love, Travel, Scenes |
| @thexxlmen | 713,870 | Adult Entertainment | Big Cock Guys, Hottest Men, XXL Men |
| @chaturbate | 679,141 | Webcam Model | Webcam, Live Video, Community |
| @dombeeef | 602,334 | Musician | Music, Singing, Dancing |
| @noahwaybabes | 543,875 | Adult entertainer | Gay porn, Trans rights, LA nightlife |
| @JadenHeart3 | 482,925 | Adult entertainer | top, nice, naughty |
| @TruKaitx | 475,595 | Artist | Vegan, Artist, Creator |
| @Moreno | 429,944 | Influencer | Business, Manager, Serious |
| @edge_him | 421,505 | Adult entertainer | Edging, Orgasm Control, Bondage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,848
Followers With Bio
5,152
Followers Without Bio
48.48%
% With Bio
51.52%
% 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 1,903 analyzed295,351
Combined Engagement
0
Total Likes
295,351
Total Retweets
59,070
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @lemanixh: Obama's really out there enjoying life https://t.co/WOBPqwn0bJ
RT @kiiingsleyy: being weird together is a love language. Idc.
RT @tamia707: why didn't yall stop watching his videos when u found out he was like....racist lol https://t.co/HnO9OedEa5
RT @Neyogems: I will teach my daughter how to love, but most important how to stop. They never teach you how to stop.
RT @wtfjxrge: bitch said im ugly, i said bitch https://t.co/TdkXd2AuDU
Key Insights & Takeaways
He frequently collaborates with other creators, particularly @SeanZevran, and promotes new content releases. His tweets often include explicit language and references, indicating a focus on adult or provocative content. He provides direct contact information for business inquiries, suggesting a professional approach to monetization and partnerships.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 71,792
- + 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 @liamrileycb reveals an well-established Twitter presence with 71,792 followers. The account demonstrates a content-creator strategy, averaging 277.7 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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