60,861
Followers
107
Following
2,699
Tweets
3,716.8
Avg Engagement
137
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @caleb2love'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:2015-06-03
- Verification:No
- Location:St Louis, MO
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:1,180.7
- Avg Retweets per Tweet:2,536.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 597 tweetsThe account has a high average number of likes and retweets, showing strong audience interaction. The content is likely shared widely due to its emotional and impactful nature.
1,180.7
Avg Likes/Tweet
2,536.1
Avg Retweets/Tweet
704,900
Total Likes
1,514,046
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
154
Median Retweets
3,286
75th Percentile
233,859
Top Tweet
61.07
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
27.6%
Original
6.4%
Replies
53.4%
Retweets
12.6%
Quotes
0.0%
Threads
0.2%
With Media
44.2%
With Links
20.8%
With #Tags
64.0%
With @Mentions
42.2%
With Emojis
73
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.0%
Weekday Posts
32.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 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 319 retweets (53% 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 597 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 emotionally invested individuals who respond strongly to personal and heartfelt content. They are likely interested in social justice and advocacy topics.
Good
Audience Quality
18.7%
Suspicion Index
24.7%
Low-Quality %
71
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.7%
Empty Bio
18.2%
<10 Tweets
9.4%
Mass Following (>2K)
0.0%
New (<90 days)
37.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
11.8%
<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.
35,442,823
Total Potential Reach
71
Median Follower Reach
256
75th Percentile Reach
5.7%
>1K followers
0.5%
>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).
63.3%
Creators
31,669 accounts
18.4%
Consumers
9,221 accounts
18.2%
Dormant
9,110 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):
700
Verified Followers
1.14% of total
7,462
Protected Accounts
12.19% 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 |
|---|---|---|---|
| @DukeMBB | 2,193,868 | Basketball Coach | Basketball, Championships, Duke Blue Devils |
| @MarchMadnessMBB | 1,703,757 | Sports Media | - |
| @overtime | 1,623,618 | Media | Sports, Entertainment, Lifestyle |
| @Ballislife | 1,489,404 | Sports Media | Basketball, Highlights, App |
| @spidadmitchell | 1,432,250 | Basketball Player | Basketball, Louisville, Utah Jazz |
| @SLAMonline | 1,338,347 | Sports Media | Basketball, Sneakers, Fashion |
| @jaytatum0 | 1,269,296 | Basketball | Basketball, Faith, Philippians 4:13 |
| @KalaniBallFree | 1,245,436 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @toosii2x | 1,131,054 | Rapper | music, gratitude, ambition |
| @WorldWideWob | 1,081,899 | Sports Analyst | NBA, Basketball, Fantasy Sports |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,715
Followers With Bio
22,506
Followers Without Bio
63.24%
% With Bio
36.76%
% 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 597 analyzed466,270
Combined Engagement
104,076
Total Likes
362,194
Total Retweets
93,254
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @KingJames: https://t.co/J40qxvNc82
RT @QuavoStuntin: HOW I PULLED UP: HOW WE COMING 😂 https://t.co/hIYyicrfIj
hurt to the core…💔 https://t.co/jrs2rJmAYf
FREE HER!!!🔓🔓🔓 https://t.co/LM95BwfTqy
RT @gucci1017: I will either find a way or make a way.
Key Insights & Takeaways
The user frequently shares personal and emotional messages that resonate deeply with their followers. Their content often includes calls to action or advocacy, which may drive engagement. They use hashtags and emojis to enhance the emotional impact of their tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,861
- + 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 @caleb2love reveals an exceptionally influential Twitter presence with 60,861 followers. The account demonstrates a content-creator strategy, averaging 3,716.8 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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