Larry Borom
Chicago Bears | Verified on @KickStreaming | https://kick.com/FinesseLB | C♥️
15,648
Followers
615
Following
1,602
Tweets
380.6
Avg Engagement
79
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lborom_'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:2014-02-28
- Verification:No
- Location:Detroit
Data Summary
- Tweets Analyzed:1,571
- Avg Likes per Tweet:57.6
- Avg Retweets per Tweet:323.0
- Followers Analyzed:15,906
Engagement Analysis
Based on 1,571 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and popularity.
57.6
Avg Likes/Tweet
323.0
Avg Retweets/Tweet
90,512
Total Likes
507,457
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
27
75th Percentile
67,983
Top Tweet
24.32
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
42.3%
Original
15.3%
Replies
19.7%
Retweets
22.8%
Quotes
0.0%
Threads
0.1%
With Media
39.1%
With Links
8.6%
With #Tags
40.4%
With @Mentions
46.3%
With Emojis
54
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.36
Reply/Original Ratio
1.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,571 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 309 retweets (20% 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 1,571 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 15,906 followersTheir audience likely includes sports fans, particularly Chicago Bears supporters, and individuals interested in streaming and entertainment.
Good
Audience Quality
16.8%
Suspicion Index
19.9%
Low-Quality %
98
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.2%
Empty Bio
8.4%
<10 Tweets
12.8%
Mass Following (>2K)
0.0%
New (<90 days)
38.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
4.7%
<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.
37,186,284
Total Potential Reach
98
Median Follower Reach
290
75th Percentile Reach
7.7%
>1K followers
1.1%
>10K followers
0.3%
>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).
78.3%
Creators
12,453 accounts
13.3%
Consumers
2,116 accounts
8.4%
Dormant
1,337 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):
134
Verified Followers
0.84% of total
1,699
Protected Accounts
10.68% of total
8 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 | 14,106,725 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,294 | - | - |
| @ChicagoBears | 2,039,705 | Sports Team | Football, Chicago, Bears |
| @6BillionPeople | 2,038,886 | - | - |
| @H3CZ | 1,021,917 | Esports | esports, gaming, fishing |
| @adamrank | 501,556 | Fantasy Analyst | NFL, Fantasy, Podcast |
| @zammit_marc | 388,213 | Filmmaker | Film, Acting, Producing |
| @justnfields | 368,837 | Quarterback | Football, Quarterback, Chicago Bears |
| @Ky1eLong | 354,156 | Athlete | Sim Racing, PC Gaming, Mountain Appreciation |
| @PowerGPU | 314,045 | Entrepreneur | Gaming, Entrepreneurship, Custom PCs |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
10,304
Followers With Bio
5,602
Followers Without Bio
64.78%
% With Bio
35.22%
% 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 1,571 analyzed209,881
Combined Engagement
0
Total Likes
209,881
Total Retweets
41,976
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @SportsCenter: BREAKING: LeBron James is signing with the Cleveland Cavaliers. (via @SInow) http://t.co/x9mFMPbz3t
RT @KDTrey5: God bless u my brother @Paul_George24. Im hurt, praying for you. Praying for peace. Praying that God heals you in a supernatural way.
RT @remixcyrus: IM SCARED WTF http://t.co/jvERkvORLM
RT @alfuckuhard: "Look what I sent u on twitter" https://t.co/zo0OaezC4m
RT @KDTrey5: You Can't please everybody. Forreal
Key Insights & Takeaways
Their content is highly engaging and relatable, often using casual and expressive language. They leverage their verified status and platform to build credibility and connection. Their focus on sports and personal experiences helps create a loyal and active follower base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 15,648
- + 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 @lborom_ reveals an well-established Twitter presence with 15,648 followers. The account demonstrates a content-creator strategy, averaging 380.6 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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