Jared Sullinger Sr.
140 Characters can't su❌ ❌e up... I a❌ who I a❌.. I do what I do! Don't ask... YES it is ❌e!
152.038
Followers
1.729
Following
34.107
Tweets
688,5
Avg Engagement
1.159
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Jared_Sully0'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:2010-03-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.199
- Avg Likes per Tweet:52,9
- Avg Retweets per Tweet:635,7
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.199 tweetsHis tweets consistently receive high engagement, with an average of 5,384 likes and 440 retweets per post. This suggests a highly interactive and invested fanbase.
52,9
Avg Likes/Tweet
635,7
Avg Retweets/Tweet
169.135
Total Likes
2.033.454
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
48
75th Percentile
318.096
Top Tweet
4,53
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
21,4%
Original
32,9%
Replies
22,0%
Retweets
23,7%
Quotes
0,0%
Threads
0,1%
With Media
38,4%
With Links
5,9%
With #Tags
63,6%
With @Mentions
30,2%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,53
Reply/Original Ratio
1,08
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66,4%
Weekday Posts
33,6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.199 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 705 retweets (22% 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 3.199 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 followersHis audience appears to be sports enthusiasts, especially NBA fans, who appreciate his witty and sometimes controversial take on the game. The audience is likely young and active on social media.
Average
Audience Quality
26,9%
Suspicion Index
33,0%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46,6%
Empty Bio
29,4%
<10 Tweets
13,1%
Mass Following (>2K)
0,0%
New (<90 days)
55,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
88,4%
No URL
19,3%
<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.
100.428.688
Total Potential Reach
40
Median Follower Reach
169
75th Percentile Reach
4,7%
>1K followers
0,9%
>10K followers
0,4%
>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).
49,9%
Creators
24.948 accounts
20,8%
Consumers
10.376 accounts
29,4%
Dormant
14.676 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):
325
Verified Followers
0.32% of total
10.892
Protected Accounts
10.78% 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 | 14.101.316 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ESPNNBA | 8.546.498 | Sports Media | Basketball, NBA Draft, NBA Finals |
| @NBATV | 6.526.133 | Sports Media | Basketball, NBA, Sports |
| @NBAonTNT | 5.255.969 | - | - |
| @thibautcourtois | 3.565.531 | Goalkeeper | Football, Goalkeeping, Belgium |
| @Broncos | 2.769.267 | Sports Team | Football, Super Bowl, Champions |
| @Raptors | 2.589.905 | Sports Team | Basketball, Toronto, Sports |
| @EzekielElliott | 2.171.850 | Athlete | Football, Running, Ohio State |
| @6BillionPeople | 2.033.189 | - | - |
| @thereallisaann | 1.997.637 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51.837
Followers With Bio
49.161
Followers Without Bio
51.32%
% With Bio
48.68%
% 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 3.199 analyzed871.726
Combined Engagement
0
Total Likes
871.726
Total Retweets
174.345
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @MarvelStudios: WAKANDA FOREVER https://t.co/ozNVPsFQRm
RT @MarvelStudios: 11.11.22 https://t.co/nmrJhcpwsG
RT @blissart01: Sometimes I wonder why people don’t give a shit about my art 🙂...not even a retweet🥺😔🙏 https://t.co/QfoUJmNrm1
RT @Josh_Moon: Cops shot and killed a 17-year-old in a school bathroom and justified it by saying he shot a cop. They've now admitted the c…
RT @BerniceKing: https://t.co/quxTAFtaJf
Key Insights & Takeaways
His content often includes humor and sarcasm, which helps to keep the audience entertained and engaged. He frequently references NBA players and teams, indicating a strong focus on sports commentary. His use of emojis and cryptic language adds to the enigmatic nature of his tweets, making them more shareable and relatable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 152.038
- + 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 @Jared_Sully0 reveals an well-established Twitter presence with 152.038 followers. The account demonstrates a conversation-first approach, averaging 688,5 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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