70.226
Followers
29.576
Tweets
12,3
Avg Engagement
261
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BennyGordon24'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:2009-04-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.197
- Avg Likes per Tweet:0,4
- Avg Retweets per Tweet:11,9
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.197 tweetsThe user's tweets receive moderate engagement, with an average of 46 likes and 55 retweets. Their content is often focused on sports and entertainment, which likely drives this level of interaction.
0,4
Avg Likes/Tweet
11,9
Avg Retweets/Tweet
1.290
Total Likes
38.014
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
18.436
Top Tweet
0,18
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8,6%
Original
89,9%
Replies
1,3%
Retweets
0,3%
Quotes
0,0%
Threads
0,1%
With Media
95,2%
With Links
3,2%
With #Tags
98,5%
With @Mentions
0,1%
With Emojis
42
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10,41
Reply/Original Ratio
0,2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
97,3%
Weekday Posts
2,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.197 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 40 retweets (1% 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 3.197 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 10.000 followersTheir audience appears to be interested in NASCAR, Toyota racing, and sports events like the Olympics and America's Got Talent. They also engage with friends and public figures.
Below Average
Audience Quality
36,9%
Suspicion Index
50,9%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64,3%
Empty Bio
50,9%
<10 Tweets
9,3%
Mass Following (>2K)
0,0%
New (<90 days)
73,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
88,3%
No URL
37,5%
<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.
49.416.297
Total Potential Reach
23
Median Follower Reach
95
75th Percentile Reach
3,8%
>1K followers
1,2%
>10K followers
0,7%
>50K followers
0,5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
25,8%
Creators
2.584 accounts
23,3%
Consumers
2.327 accounts
50,9%
Dormant
5.089 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):
42
Verified Followers
0.42% of total
755
Protected Accounts
7.55% 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 |
|---|---|---|---|
| @JohnCena | 14.093.928 | Wrestler | Wrestling, Motivation, Self-promotion |
| @benlandis | 2.826.587 | - | - |
| @BeatsByAssassin | 2.246.197 | Multitalented | Actor, Director, Rapper |
| @britishmuseum | 2.062.728 | Museum | History, Art, Culture |
| @iHeartRadio | 2.016.764 | Media | Music, Stations, Podcasts |
| @SiriouslySusan | 1.761.668 | Voice Actor | Voice acting, singing, speaking |
| @SinghLions | 1.328.357 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1.314.851 | Journalist | working, mom, journalist |
| @JeffGordonWeb | 1.203.210 | Race Car Driver | NASCAR, Racing, Philanthropy |
| @JackPhan | 1.104.972 | Entrepreneur | Visionary, Startup Entrepreneur, AdobeInsider |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3.567
Followers With Bio
6.433
Followers Without Bio
35.67%
% With Bio
64.33%
% 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 3.197 analyzed36.812
Combined Engagement
0
Total Likes
36.812
Total Retweets
7.362
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @CloydRivers: It takes real courage to stand alone. Merica. https://t.co/80JI0vIWqX
RT @DonaldJTrumpJr: Interesting, a sworn affidavit, isn’t this a form of evidence to the fraud everyone claims doesn’t exist? https://t.co/XSUcuBeugJ
RT @IngrahamAngle: This is incredible. https://t.co/CcoZOAf2QC
RT @LaraLeaTrump: THANK YOU AMERICA! 🙏🏽🇺🇸
RT @TheOfficerTatum: If they really cared they would not take a knee, but take a stand against black on black crime and oppression of all people in the US.
Key Insights & Takeaways
The user frequently mentions NASCAR and Toyota racing, indicating a strong interest in motorsports. They engage with friends and public figures, suggesting a personal and community-oriented approach. Their tweets often include hashtags, which may help in increasing visibility and reach.
Strengths
- + Established follower base of 70.226
- + High community engagement through conversations
- + 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 @BennyGordon24 reveals an growing Twitter presence with 70.226 followers. The account demonstrates a conversation-first approach, averaging 12,3 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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