Joey
@obvious_shirts 🦘@The33rdTeamFb🏈 @cfbonfox contact me ⬇️
368,332
Followers
1,801
Following
35,776
Tweets
633.9
Avg Engagement
464
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JoeyMulinaro'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:2011-01-04
- Verification:No
- Location:Indianapolis, IN
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:449.9
- Avg Retweets per Tweet:184.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,238 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
449.9
Avg Likes/Tweet
184.0
Avg Retweets/Tweet
1,456,626
Total Likes
595,828
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
5
Median Retweets
237
75th Percentile
97,438
Top Tweet
1.72
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
32.5%
Original
9.3%
Replies
42.7%
Retweets
15.6%
Quotes
0.0%
Threads
0.4%
With Media
51.5%
With Links
7.8%
With #Tags
64.4%
With @Mentions
20.2%
With Emojis
100
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.29
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.6%
Weekday Posts
25.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 1,382 retweets (43% 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 3,238 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 fans of sports, particularly football and college basketball, as well as those interested in pop culture and humor.
Good
Audience Quality
17.3%
Suspicion Index
26.3%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.7%
Empty Bio
13.6%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
35.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
8.8%
<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.
57,333,740
Total Potential Reach
78
Median Follower Reach
239
75th Percentile Reach
5.5%
>1K followers
0.8%
>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).
70.7%
Creators
35,326 accounts
15.8%
Consumers
7,878 accounts
13.6%
Dormant
6,796 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):
1,474
Verified Followers
1.47% of total
16,072
Protected Accounts
16.07% 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 | 14,103,671 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RapSheet | 4,026,188 | Sports Journalist | NFL, Insider, Husband |
| @steelers | 3,746,957 | Sports Team | football, champions, Pittsburgh |
| @DaleJr | 2,530,502 | Motorsports Analyst | Motorsports, NASCAR, Lost Speedways |
| @thereallisaann | 1,991,510 | Sports Bettor | Fantasy Sports, Sports Betting, Podcast |
| @BizNasty2point0 | 1,250,784 | Media Personality | Hockey, Media, Podcasts |
| @Espngreeny | 1,206,444 | Sports Commentator | Sports, Commentary, Analysis |
| @LeBronJames | 998,852 | - | - |
| @wingoz | 992,361 | Sports Analyst | Sports, Podcasting, Quarterbacks |
| @GettySport | 883,058 | Photographer | sports, photography, news |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,925
Followers With Bio
42,075
Followers Without Bio
57.92%
% With Bio
42.08%
% 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 3,238 analyzed313,968
Combined Engagement
85,191
Total Likes
228,777
Total Retweets
62,794
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @obiwankenobi: Hello there.
RT @obiwankenobi: Between darkness and defeat, hope survives. Watch the new teaser trailer for #ObiWanKenobi, and start streaming the limi…
RT @starwars: Obi-Wan Kenobi, a limited Original series, starts streaming May 25 on @DisneyPlus. https://t.co/XCV1xQZhDR
Adam Sandler should’ve won an Oscar for this scene https://t.co/llSVXIzb9n
The fact this dude is an NFL head coach never ceases to amaze me 😆 https://t.co/L1u47eQaOp
Key Insights & Takeaways
He often uses humor to highlight absurd or ironic situations in sports and pop culture. He frequently references well-known figures and events to connect with his audience. His content is casual and relatable, making it easy for followers to engage and share.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 368,332
- + 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 @JoeyMulinaro reveals an well-established Twitter presence with 368,332 followers. The account demonstrates a content-creator strategy, averaging 633.9 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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