Connor Hughes
NFL reporter for @SNYtv covering Jets & Giants. Basically, I watch football, then write & talk about it || Cancel ‘iron sharpens iron’ || Big fan of my dog
88,703
Followers
951
Following
94,553
Tweets
202.4
Avg Engagement
1,714
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Connor_J_Hughes'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:2011-06-10
- Verification:No
- Location:Princeton, NJ
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:187.0
- Avg Retweets per Tweet:15.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
187.0
Avg Likes/Tweet
15.4
Avg Retweets/Tweet
607,716
Total Likes
50,190
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
60
Median Likes
3
Median Retweets
194
75th Percentile
8,775
Top Tweet
2.28
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
53.0%
Original
24.5%
Replies
4.9%
Retweets
17.6%
Quotes
0.0%
Threads
0.2%
With Media
35.0%
With Links
50.5%
With #Tags
36.2%
With @Mentions
3.1%
With Emojis
121
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.46
Reply/Original Ratio
3.63
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.6%
Weekday Posts
34.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 158 retweets (5% 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 3,250 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 NFL fans, sports enthusiasts, and followers of SNYtv. The content appeals to those interested in Jets and Giants coverage.
Average
Audience Quality
23.9%
Suspicion Index
33.8%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.4%
Empty Bio
26.4%
<10 Tweets
10.4%
Mass Following (>2K)
0.0%
New (<90 days)
45.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
18.1%
<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.
9,631,291
Total Potential Reach
39
Median Follower Reach
161
75th Percentile Reach
5.5%
>1K followers
0.8%
>10K followers
0.3%
>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).
52.6%
Creators
5,260 accounts
21.0%
Consumers
2,104 accounts
26.4%
Dormant
2,636 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):
183
Verified Followers
1.83% of total
951
Protected Accounts
9.51% of total
5 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 |
|---|---|---|---|
| @DJPaulyD | 3,567,115 | DJ | Music, DJing, Booking |
| @kylenabecker | 359,920 | CEO | Conservative, News, Media |
| @Andrew_S_Dykes | 236,700 | Writer | Thoughts, Void, Throwing |
| @AlexKennedyNBA | 171,943 | Sports journalist | NBA, Basketball, Content Creation |
| @thecoachtube | 159,411 | Sports coaching | sports, coaching, potential |
| @JFowlerESPN | 138,235 | Sports Reporter | NFL, SportsCenter, Reporter |
| @tanner_tolbert_ | 133,480 | Reality TV Star | Reality TV, Family, Fitness |
| @travisa850 | 131,574 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @AmyTaylorNYC | 124,068 | - | - |
| @JQT_web3vc | 121,384 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,056
Followers With Bio
4,944
Followers Without Bio
50.56%
% With Bio
49.44%
% 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 3,250 analyzed30,504
Combined Engagement
28,744
Total Likes
1,760
Total Retweets
6,101
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
20%
With Links
Topical Analysis:
Mike White says he asked the #Jets if he even needs their permission to play, or if he can just play. He wants so badly to be out there
The doctor checking Mike White’s ribs on Monday. #Jets https://t.co/hFgNABwkLa
So doctors cleared him to return to the game but not play a week later. Legitimate & real concerns there. #Jets
Robert Saleh: “We are going to see these guys again.” Wow #Jets
From my understanding on #Jets & Aaron Rodgers: Everything that needs to be done is essentially done in regards to a trade. Sides have worked out what needs to be worked out. So if Rodgers wants to be a Jet, he will be a Jet. Broken record, but … just waiting on him to deci
Key Insights & Takeaways
He frequently covers player injuries and team updates, providing real-time insights. He uses personal touches like mentioning his dog to connect with followers. He highlights player quotes and behind-the-scenes moments, adding depth to his reporting.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 88,703
- + 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 @Connor_J_Hughes reveals an well-established Twitter presence with 88,703 followers. The account demonstrates a content-creator strategy, averaging 202.4 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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