Harry Hudson
“EMOTIONAL HANGOVER” // Out now
90,782
Followers
981
Following
3,865
Tweets
556.6
Avg Engagement
172
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @harryhudson'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:2012-06-04
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,138
- Avg Likes per Tweet:262.8
- Avg Retweets per Tweet:293.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,138 tweetsHis tweets receive high engagement, averaging 10k likes and 3.7k retweets, indicating a highly interactive and loyal following. The content is both personal and universal, driving strong reactions.
262.8
Avg Likes/Tweet
293.8
Avg Retweets/Tweet
824,823
Total Likes
921,816
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
76
Median Likes
34
Median Retweets
410
75th Percentile
205,448
Top Tweet
6.13
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
61.4%
Original
17.2%
Replies
19.1%
Retweets
2.3%
Quotes
0.0%
Threads
0.2%
With Media
33.5%
With Links
12.9%
With #Tags
45.9%
With @Mentions
34.3%
With Emojis
88
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.28
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,138 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 599 retweets (19% 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 3,138 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 appears to be emotionally driven individuals seeking inspiration and connection. They are likely aged 18-35 and interested in personal growth and social issues.
Average
Audience Quality
27.8%
Suspicion Index
31.1%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.3%
Empty Bio
38.4%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
62.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.2%
No URL
26.9%
<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.
30,407,595
Total Potential Reach
12
Median Follower Reach
91
75th Percentile Reach
4.7%
>1K followers
1.1%
>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).
39.4%
Creators
3,937 accounts
22.2%
Consumers
2,222 accounts
38.4%
Dormant
3,841 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):
97
Verified Followers
0.97% of total
1,669
Protected Accounts
16.69% of total
4 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 | 14,094,552 | Wrestler | Wrestling, Motivation, Self-promotion |
| @garyvee | 3,156,388 | Entrepreneur | Family, CEO, Investor |
| @geoffkeighley | 1,505,762 | Gaming Host | Video games, Awards, Events |
| @bieberarmy | 934,801 | Fan Club | Justin Bieber, Updates, Army |
| @ZachBoychuk | 827,767 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 799,070 | Activism | equality, bullying, discrimination |
| @_yavuzatalay | 695,249 | Journalist | Politics, Journalism, White House |
| @belieberbabes | 635,088 | Fan Account | Justin Bieber, Fan Account, Non-profit |
| @Bosslogic | 517,124 | Artist | Gaming, Art, NFTs |
| @THE_THEO_FORD | 472,814 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,471
Followers With Bio
3,529
Followers Without Bio
64.71%
% With Bio
35.29%
% 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 3,138 analyzed350,308
Combined Engagement
37,866
Total Likes
312,442
Total Retweets
70,062
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @KylieJenner: ♥️ https://t.co/CgiQFcRfHU
RT @officialjaden: 2018 I'm Not Talking To Nobody.
RT @colesprouse: Don't let @realDonaldTrump, who's spent his life avoiding armed combat, try and define the image of bravery. #TransRightsAreHumanRights https://t.co/Zp6PCyz72R
Remember if you woke up today, someone else didn’t. Be grateful, be kind, be truthful, be the best version of you because you only get this life to do so. 🌹
Fuck hate, fuck discrimination, fuck money, fuck politics, we are all alive together for a reason. We need to be one before it's too late!!!
Key Insights & Takeaways
His content is deeply personal and emotional, often sharing life-changing experiences like cancer recovery. He emphasizes unity, gratitude, and kindness, which resonate strongly with his audience. His use of strong language and direct calls to action increases engagement and memorability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 90,782
- + 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 @harryhudson reveals an well-established Twitter presence with 90,782 followers. The account demonstrates a content-creator strategy, averaging 556.6 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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