119,393
Followers
475
Following
3,524
Tweets
1,475.0
Avg Engagement
394
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RandallTime'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:2013-04-23
- Verification:No
- Location:Las Vegas, NV
Data Summary
- Tweets Analyzed:3,194
- Avg Likes per Tweet:444.8
- Avg Retweets per Tweet:1,030.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,194 tweetsRandallTime's tweets consistently receive a high number of likes and retweets, indicating a strong and active audience. The engagement is driven by both humor and controversy.
444.8
Avg Likes/Tweet
1,030.2
Avg Retweets/Tweet
1,420,757
Total Likes
3,290,447
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
22
Median Likes
6
Median Retweets
339
75th Percentile
1,070,381
Top Tweet
12.35
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
37.9%
Original
11.3%
Replies
29.1%
Retweets
21.7%
Quotes
0.0%
Threads
0.1%
With Media
49.6%
With Links
14.6%
With #Tags
45.8%
With @Mentions
45.3%
With Emojis
65
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,194 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 928 retweets (29% 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 3,194 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 appears to be a mix of younger, socially conscious users and those interested in pop culture and sports. They are likely looking for entertainment and discussion points.
Good
Audience Quality
19.2%
Suspicion Index
25.7%
Low-Quality %
63
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.9%
Empty Bio
16.2%
<10 Tweets
10.0%
Mass Following (>2K)
0.0%
New (<90 days)
39.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
9.6%
<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.
99,903,567
Total Potential Reach
63
Median Follower Reach
217
75th Percentile Reach
4.7%
>1K followers
0.7%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.6%
Creators
32,781 accounts
18.2%
Consumers
9,116 accounts
16.2%
Dormant
8,103 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):
420
Verified Followers
0.42% of total
11,524
Protected Accounts
11.41% of total
9 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 |
|---|---|---|---|
| @NFL | 32,993,897 | Athlete | Football, Tight End, Humor |
| @AdamSchefter | 10,352,711 | Sports Journalist | NFL, Insider, Podcast |
| @obj | 4,415,796 | Athlete | Football, Fashion, Music |
| @NFLonFOX | 3,696,875 | Sports Media | Football, NFL, Sports |
| @DJPaulyD | 3,598,297 | DJ | Music, DJing, Booking |
| @Dame_Lillard | 3,235,537 | Basketball Player | Basketball, Music, Fashion |
| @mikethemiz | 3,217,408 | Wrestler | Wrestling, MizAndMrs, PeacockTV |
| @benlandis | 2,846,707 | - | - |
| @PatMcAfeeShow | 2,840,742 | Sports commentator | Sports, Betting, Entertainment |
| @PatrickMahomes | 2,488,137 | Athlete | Football, Family, Golf |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,470
Followers With Bio
45,528
Followers Without Bio
54.92%
% With Bio
45.08%
% 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 3,194 analyzed1,670,928
Combined Engagement
190,165
Total Likes
1,480,763
Total Retweets
334,186
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
If the Cleveland Cavaliers win the 2018 NBA finals I’ll buy everyone who retweet’s this a jersey...
RT @remsdiors: whoever rts this tweet will receive good news this month https://t.co/IL5xW1IZXU
RT @KingJames: Man we cancelling sporting events, school, office work, etc etc. What we really need to cancel is 2020! 🤦🏾♂️. Damn it’s bee…
RT @AmedoShair: This family in Halane, Wajir County is seeking financial assistance in order to get specialised treatment for a rare skin d…
RT @RoddyRicch: don’t take my attention for granted
Key Insights & Takeaways
The user often uses humor to highlight social issues, which can both engage and polarize the audience. Controversial tweets, especially those involving sensitive topics like domestic violence, tend to generate significant interaction. The use of memes and internet culture is a key element in attracting and maintaining followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 119,393
- + 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 @RandallTime reveals an exceptionally influential Twitter presence with 119,393 followers. The account demonstrates a content-creator strategy, averaging 1,475.0 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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