Laquon Treadwell
This Shxt Personal! 🤞🏽
177,805
Followers
268
Following
730
Tweets
1,314.7
Avg Engagement
332
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SuccessfulQuon'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:2011-01-06
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:366
- Avg Likes per Tweet:132.6
- Avg Retweets per Tweet:1,182.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 366 tweetsEach tweet typically receives around 2,222 likes and 146 retweets, showing a moderate level of engagement. The content seems to resonate well with followers.
132.6
Avg Likes/Tweet
1,182.1
Avg Retweets/Tweet
48,523
Total Likes
432,666
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
4
Median Retweets
189
75th Percentile
180,213
Top Tweet
7.39
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
49.5%
Original
11.2%
Replies
30.1%
Retweets
9.3%
Quotes
0.0%
Threads
0.0%
With Media
20.5%
With Links
7.4%
With #Tags
43.2%
With @Mentions
27.9%
With Emojis
63
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.23
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.5%
Weekday Posts
35.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 366 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 110 retweets (30% 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 366 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 interested in personal achievements and sports, particularly NFL teams like the Vikings and Seahawks. They may also be fans of Atlanta-related content.
Below Average
Audience Quality
39.9%
Suspicion Index
60.5%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.3%
Empty Bio
63.1%
<10 Tweets
4.8%
Mass Following (>2K)
0.0%
New (<90 days)
76.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
52.7%
<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.
22,241,184
Total Potential Reach
2
Median Follower Reach
24
75th Percentile Reach
2.1%
>1K followers
0.3%
>10K followers
0.1%
>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).
23.1%
Creators
11,571 accounts
13.8%
Consumers
6,890 accounts
63.1%
Dormant
31,539 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):
147
Verified Followers
0.15% of total
4,516
Protected Accounts
4.47% 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 |
|---|---|---|---|
| @DezBryant | 3,496,191 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @6BillionPeople | 2,033,489 | - | - |
| @JoeyBats19 | 1,048,203 | Baseball Player | Baseball, Philanthropy, Sports |
| @AdrianPeterson | 1,027,563 | Athlete | Faith, Prayer, AllDay |
| @CSuiteConfess | 1,001,840 | Executive Coach | #MeToo, Executives, Navigating |
| @Jaguars | 826,247 | Sports Team | Football, Jaguars, NFL |
| @JoeHennig | 616,179 | Wrestler | Wrestling, Champion, Cameo |
| @CoachSchuman | 588,257 | Football Coach | Football, Recruiting, Motivation |
| @NickSwardson | 571,704 | Comedian | Comedy, Netflix, Special |
| @God_Son80 | 552,137 | Athlete | God, Football, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,970
Followers With Bio
72,028
Followers Without Bio
28.68%
% With Bio
71.32%
% 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 366 analyzed284,485
Combined Engagement
0
Total Likes
284,485
Total Retweets
56,897
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @StephenCurry30: Night Night https://t.co/fIMwW4eeSk
RT @MillsReggie: Be obsessed with improving yourself.
RT @obj: Motto for 2023. Do NOT carry yesterday’a energy into TODAY.
RT @qcm_p: Do not chase people. Work hard and be you. The right people who belong in your life will come find you and stay. Do you!
RT @gherbo: MAMBA MENTALITY 4 LIFE!!! THIS WAS REALLY MJ IN MY EYES! I FELT LIKE THIS WAS THE GREATEST PLAYER TO EVER LIVE! THATS IF YOU AS…
Key Insights & Takeaways
The user frequently shares personal reflections and gratitude, indicating a focus on self-expression and appreciation. They have a strong connection to NFL teams, suggesting a sports-centric audience interest. The use of emojis and hashtags adds a casual and relatable tone to their tweets.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 177,805
- + 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 @SuccessfulQuon reveals an exceptionally influential Twitter presence with 177,805 followers. The account demonstrates a content-creator strategy, averaging 1,314.7 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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