Jack Hunt
Official account of Jack Hunt
54,492
Followers
609
Following
4,580
Tweets
109.6
Avg Engagement
144
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Hunty32'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:2011-01-23
- Verification:No
- Location:Leeds
Data Summary
- Tweets Analyzed:3,145
- Avg Likes per Tweet:55.3
- Avg Retweets per Tweet:54.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,145 tweetsThe account maintains a high level of engagement with consistent likes and retweets, indicating a loyal and active audience. The average engagement per tweet suggests a strong connection with followers.
55.3
Avg Likes/Tweet
54.3
Avg Retweets/Tweet
174,070
Total Likes
170,764
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
18
75th Percentile
42,599
Top Tweet
2.01
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
69.7%
Original
18.0%
Replies
9.6%
Retweets
2.8%
Quotes
0.0%
Threads
0.2%
With Media
14.3%
With Links
40.9%
With #Tags
54.9%
With @Mentions
21.9%
With Emojis
86
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.26
Reply/Original Ratio
0.29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.2%
Weekday Posts
30.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,145 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 301 retweets (10% 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 3,145 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 followersThe audience appears to be interested in sports, particularly football, and personal updates from a public figure. The engagement suggests a mix of fans and followers interested in his career and lifestyle.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.2%
No URL
100.0%
<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.
6,810,530
Total Potential Reach
29
Median Follower Reach
156
75th Percentile Reach
4.7%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
884
Protected Accounts
8.84% of total
6 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 |
|---|---|---|---|
| @KevinandTrevor | 693,277 | - | - |
| @SkySportsDarts | 305,765 | Sports Broadcasting | Darts, Sports, Love |
| @BroadcastMoose | 263,641 | Sports Reporter | Sports, Reporter, Commentator |
| @watsoncomedian | 263,472 | Comedian | Novels, Comedy, YouTube |
| @TransferNewsCen | 233,898 | Sports Journalist | Football, Transfer News, Podcast |
| @YesWeCrann | 191,886 | Journalist | Football, Travel, South Africa |
| @DFImpressionist | 174,007 | Impressionist | Football, Impressionist, Comedy |
| @andiweimann | 119,104 | Footballer | Football, Fitness, Travel |
| @bristol247 | 113,000 | Journalist | journalism, Bristol, support |
| @afowler06 | 112,714 | Professional Boxer | Boxing, Olympics, Professional Fighting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,098
Followers With Bio
4,902
Followers Without Bio
50.98%
% With Bio
49.02%
% 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 3,145 analyzed108,441
Combined Engagement
0
Total Likes
108,441
Total Retweets
21,688
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @MarcusRashford: 🗣 to all MPs https://t.co/Dc4weMvTHN
RT @ManUtdFF: Kids today never experienced the real Cristiano Ronaldo....https://t.co/D0AobuoalN
RT @ufc: THE FIGHT IS ON! @TeamKhabib vs @TheNotoriousMMA Oct. 6 in Las Vegas at #UFC229! https://t.co/GHNzmj4eWY
RT @NiallOfficial: What a sick week in marbella with the lads! Good to see my friends! We had a right laugh!
RT @GaryLineker: Just saw the video of the Chelsea mob's deplorable behaviour and racist chants. Sickening, embarrassing, moronic, disgraceful.
Key Insights & Takeaways
The account is likely used for personal and professional updates, showcasing Jack Hunt's career and interests. The top tweets indicate a focus on sports, particularly football, and personal milestones. Humor and relatability are key elements in the content strategy, as seen in the use of playful phrases like 'Cool as an oven'.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,492
- + 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 @Hunty32 reveals an well-established Twitter presence with 54,492 followers. The account demonstrates a content-creator strategy, averaging 109.6 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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