69,090
Followers
306
Following
1,809
Tweets
191.9
Avg Engagement
415
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BarrettAJones'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:2011-02-10
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,809
- Avg Likes per Tweet:45.3
- Avg Retweets per Tweet:146.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,809 tweetsHis tweets typically receive high engagement, with an average of 2,665 likes and 894 retweets, indicating a strong and active community.
45.3
Avg Likes/Tweet
146.6
Avg Retweets/Tweet
81,981
Total Likes
265,182
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
23
75th Percentile
217,829
Top Tweet
2.78
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
42.8%
Original
51.2%
Replies
2.9%
Retweets
3.2%
Quotes
0.0%
Threads
0.0%
With Media
15.4%
With Links
14.2%
With #Tags
69.6%
With @Mentions
0.9%
With Emojis
93
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.2
Reply/Original Ratio
1.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.2%
Weekday Posts
35.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,809 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 52 retweets (3% 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 1,809 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 followersHis audience includes fans of sports, particularly college football, and individuals interested in personal life updates and faith-based content.
Average
Audience Quality
29.2%
Suspicion Index
38.7%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
51.9%
Empty Bio
35.4%
<10 Tweets
10.9%
Mass Following (>2K)
0.0%
New (<90 days)
59.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
25.5%
<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.
26,691,984
Total Potential Reach
22
Median Follower Reach
125
75th Percentile Reach
4.9%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
44.4%
Creators
4,439 accounts
20.3%
Consumers
2,026 accounts
35.4%
Dormant
3,535 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):
78
Verified Followers
0.78% of total
900
Protected Accounts
9.0% 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 |
|---|---|---|---|
| @JohnCena | 14,093,947 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mortreport | 2,201,244 | Sports Journalist | Jesus, Family, Cancer |
| @AlabamaFTBL | 1,177,446 | Sports Team | Football, University, Official |
| @TayeDiggs | 641,884 | Actor | acting, chocolate, hosting |
| @CoachSchuman | 585,240 | Football Coach | Football, Recruiting, Motivation |
| @UA_Athletics | 464,007 | Sports | Sports, Championships, Legends |
| @LRiddickESPN | 402,033 | Football Analyst | Football, NFL Draft, University of Pittsburgh |
| @GoodmanHoops | 310,934 | Basketball Analyst | Basketball, Analyst, Hoops |
| @joethomas73 | 280,067 | Athlete | Fathering, Interviews, Appearances |
| @haha_cd6 | 272,235 | Athlete | Football, Education, Philanthropy |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,807
Followers With Bio
5,193
Followers Without Bio
48.07%
% With Bio
51.93%
% 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 1,809 analyzed239,425
Combined Engagement
11,695
Total Likes
227,730
Total Retweets
47,885
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @joethomas73: I’m so confident in my @cavs, if the @warriors win the 2018 NBA finals, I’ll buy anyone who retweets this a signed @StephenCurry30 gameworn jersey. Even you @RandallTime. @KingJames https://t.co/zsQp3LxGbu
Final thought regarding Tua: Coach Saban takes players out of the game for one reason: to give other guys a chance to develop. It’s never bc he is afraid they will get hurt. That’s “The Process”. You can’t praise it one second and curse it the next.
RT @RyanBrownWJOX: If @tonyromo ever tells you tomorrow is your last day on Earth, you best get your affairs in order.
Lots of second guessing out there on whether Tua should have played/still been in game. Reality: He clearly looked healthy enough to play, and had a freak injury on a COMPLETELY DIFFERENT body part. Saban plays guys who are healthy enough to play, no matter the opponent, period.
Two of my favorite Auburn guys @GregRobinson79 and @TreMason looking good in Crimson. #ironbowlwagers http://t.co/p8o1bzfQ7U
Key Insights & Takeaways
He often shares insights on sports strategy and player development, emphasizing coaching decisions and player health. He maintains a personal and heartfelt tone, especially when sharing updates about his family and faith. His content reflects a blend of professional commentary and personal storytelling, which resonates with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 69,090
- + 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 @BarrettAJones reveals an well-established Twitter presence with 69,090 followers. The account demonstrates a conversation-first approach, averaging 191.9 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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