Double H
Henry ~ Youtuber w/ 800k+ subscribers ~ Business Inquires: [email protected]
128,257
Followers
717
Following
18,700
Tweets
167.5
Avg Engagement
76
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DoubleH_YT'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:2015-04-30
- Verification:No
- Location:👉
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:161.6
- Avg Retweets per Tweet:6.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive high engagement, with an average of 7,822 likes and 350 retweets per post. This indicates a loyal and active audience that values his content and opinions.
161.6
Avg Likes/Tweet
6.0
Avg Retweets/Tweet
525,078
Total Likes
19,435
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
46
Median Likes
1
Median Retweets
139
75th Percentile
12,602
Top Tweet
1.31
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
37.2%
Original
60.8%
Replies
0.4%
Retweets
1.6%
Quotes
0.0%
Threads
0.0%
With Media
24.1%
With Links
0.9%
With #Tags
61.4%
With @Mentions
37.9%
With Emojis
72
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.64
Reply/Original Ratio
3.71
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.8%
Weekday Posts
30.2%
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 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 14 retweets (0% 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 followers include sports enthusiasts, fans of his YouTube content, and industry professionals. The audience is primarily interested in sports commentary, entertainment, and business opportunities.
Average
Audience Quality
31.4%
Suspicion Index
42.1%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.2%
Empty Bio
47.5%
<10 Tweets
4.5%
Mass Following (>2K)
0.0%
New (<90 days)
63.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
32.1%
<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.
5,335,211
Total Potential Reach
8
Median Follower Reach
41
75th Percentile Reach
2.6%
>1K followers
0.4%
>10K followers
0.1%
>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).
27.6%
Creators
2,760 accounts
24.9%
Consumers
2,485 accounts
47.5%
Dormant
4,755 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):
60
Verified Followers
0.6% of total
764
Protected Accounts
7.64% of total
2 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 |
|---|---|---|---|
| @LeBronJames | 1,004,368 | - | - |
| @ZachBoychuk | 827,620 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @SlimJim | 512,393 | Snack Influencer | meat, long boi, champions |
| @jushendo | 358,582 | Content Creator | fighting, posting, promotion |
| @TheRealTyceno | 274,642 | - | - |
| @SKTheKingYT | 235,043 | YouTuber | Gaming, Partnerships, Promotions |
| @ouuwwee | 139,198 | - | - |
| @Guille8deLeon | 65,567 | Sports Analyst | Football, Basketball, Cycling |
| @0xc06 | 64,812 | Marketing | Web3, Marketing, Community Building |
| @CHoops4Life | 58,076 | Producer | Basketball, Football, Baseball |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,780
Followers With Bio
5,220
Followers Without Bio
47.8%
% With Bio
52.2%
% 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 analyzed47,625
Combined Engagement
46,224
Total Likes
1,401
Total Retweets
9,525
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
@BleacherReport https://t.co/sRWBW36eX8
NBA 2K23 Next Gen is 152 GB😳 https://t.co/3VDN037YF5
@ChrisBHaynes @NBAonTNT @BleacherReport Threatening a 9 year old because your team lost a play in game? Grow up.
Setting off fireworks in your house is WILD💀 https://t.co/i9BYQCwrPw
@kylekuzma @FanDuelTV @SDinwiddie_25 https://t.co/pr9I8xTyUj
Key Insights & Takeaways
He frequently interacts with sports media outlets and analysts, suggesting strong industry connections. His content often blends entertainment with sports commentary, appealing to a broad audience. He uses Twitter as a platform to promote his YouTube channel and engage with fans directly.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 128,257
- + 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 @DoubleH_YT reveals an well-established Twitter presence with 128,257 followers. The account demonstrates a conversation-first approach, averaging 167.5 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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