LeGarrette Blount
OFFICIAL TWITTER PAGE FOR LEGARRETTE BLOUNT! OFFICIAL IG: @L_Blount29
209,038
Followers
502
Following
7,441
Tweets
1,993.1
Avg Engagement
918
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LG_Blount'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:2011-08-12
- Verification:No
- Location:The World
Data Summary
- Tweets Analyzed:3,124
- Avg Likes per Tweet:261.8
- Avg Retweets per Tweet:1,731.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,124 tweetsThe account consistently receives high likes and retweets, indicating strong audience interaction and interest in Blount's content.
261.8
Avg Likes/Tweet
1,731.3
Avg Retweets/Tweet
817,723
Total Likes
5,408,575
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
22
Median Retweets
436
75th Percentile
880,976
Top Tweet
9.53
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
31.8%
Original
12.2%
Replies
44.5%
Retweets
11.5%
Quotes
0.0%
Threads
0.4%
With Media
48.5%
With Links
22.8%
With #Tags
71.4%
With @Mentions
38.4%
With Emojis
83
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.38
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.7%
Weekday Posts
24.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,124 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 1,389 retweets (44% 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 3,124 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 includes fans, fellow athletes, and followers interested in Blount's career and personal updates.
Average
Audience Quality
27.5%
Suspicion Index
32.3%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.7%
Empty Bio
27.3%
<10 Tweets
13.3%
Mass Following (>2K)
0.0%
New (<90 days)
61.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
18.9%
<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.
67,334,588
Total Potential Reach
32
Median Follower Reach
144
75th Percentile Reach
4.2%
>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).
52.9%
Creators
26,429 accounts
19.9%
Consumers
9,932 accounts
27.3%
Dormant
13,639 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):
426
Verified Followers
0.42% of total
11,137
Protected Accounts
11.03% 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 | 14,099,752 | Wrestler | Wrestling, Motivation, Self-promotion |
| @maddow | 10,409,279 | Political Commentator | Politics, News, Commentary |
| @mcuban | 8,850,401 | Entrepreneur | NFTs, Entrepreneurship, Investing |
| @jaketapper | 3,162,426 | Journalist | News, Politics, Journalism |
| @TomBrady | 3,073,951 | Football | Family, Football |
| @PatMcAfeeShow | 2,835,876 | Sports commentator | Sports, Betting, Entertainment |
| @MikeTrout | 2,576,207 | Baseball Player | Baseball, Angels, Jess Tara |
| @EzekielElliott | 2,172,548 | Athlete | Football, Running, Ohio State |
| @SInow | 1,858,748 | Sports Media | Sports, TikTok, Instagram |
| @KameronBennett | 1,817,160 | DJ | Music, DJing, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,862
Followers With Bio
50,137
Followers Without Bio
50.36%
% With Bio
49.64%
% 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 3,124 analyzed1,821,091
Combined Engagement
0
Total Likes
1,821,091
Total Retweets
364,218
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @RandallTime: If the Cleveland Cavaliers win the 2018 NBA finals I’ll buy everyone who retweet’s this a jersey...
RT @Kaepernick7: I appreciate you @Eminem ✊🏾 https://t.co/nwavBwsOkQ
RT @BET: The FULL verse that EVERYBODY is talking about! @eminem BODIED THIS! #HipHopAwards https://t.co/zoS0wEwjQF
RT @FloydMayweather: 50 - 0
RT @Justinfication: Wow, I’ve seen/heard a lot of MLK footage but this is the first time I’ve seen this interview. How profound this is. ht…
Key Insights & Takeaways
The account uses humor and personal interactions to build a connection with followers. Engagement is driven by direct communication and relatable content. Blount leverages his platform to express personal opinions and engage with fans effectively.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 209,038
- + 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 @LG_Blount reveals an exceptionally influential Twitter presence with 209,038 followers. The account demonstrates a content-creator strategy, averaging 1,993.1 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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