71,784
Followers
497
Following
10,254
Tweets
29.3
Avg Engagement
175
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SethHCP'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:2011-01-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,199
- Avg Likes per Tweet:20.8
- Avg Retweets per Tweet:8.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,199 tweetsOn average, his tweets receive around 320 likes and 88 retweets, indicating a steady but not overwhelming level of audience interaction. The verified percentage is low, suggesting a mix of real and possibly fake followers.
20.8
Avg Likes/Tweet
8.4
Avg Retweets/Tweet
66,629
Total Likes
26,990
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
5
Median Retweets
42
75th Percentile
531
Top Tweet
0.41
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
55.1%
Original
31.9%
Replies
11.8%
Retweets
1.2%
Quotes
0.0%
Threads
0.1%
With Media
27.6%
With Links
51.7%
With #Tags
64.1%
With @Mentions
2.1%
With Emojis
59
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.58
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.1%
Weekday Posts
28.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,199 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 377 retweets (12% 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 3,199 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 business operations and personal updates, possibly including industry peers and general followers. There is a mix of professional and casual engagement.
Average
Audience Quality
23.1%
Suspicion Index
26.5%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.9%
Empty Bio
18.8%
<10 Tweets
14.5%
Mass Following (>2K)
0.0%
New (<90 days)
51.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.5%
No URL
11.1%
<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.
6,369,944
Total Potential Reach
46
Median Follower Reach
167
75th Percentile Reach
4.8%
>1K followers
0.6%
>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).
59.3%
Creators
5,931 accounts
21.9%
Consumers
2,194 accounts
18.8%
Dormant
1,875 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):
77
Verified Followers
0.77% of total
1,313
Protected Accounts
13.13% of total
7 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 |
|---|---|---|---|
| @KameronBennett | 1,814,078 | DJ | Music, DJing, Booking |
| @TheChrisWoodard | 407,613 | Video Editor | Gamer, NHL fan, Horror movie lover |
| @JohnLukeNYC | 231,289 | Auctioneer | Storage Wars, Auctioneer, New York |
| @thewelshtenor | 131,876 | - | - |
| @travisa850 | 131,581 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @NEMZ_OFFICIAL | 115,492 | Rapper | Rapper, Dubstep, Skateboard |
| @blakejamieson | 102,723 | NFT Artist | NFTs, JUGGERNAUTS, Design |
| @archer_rs | 101,621 | Author | Writing, Traveling, Dordogne |
| @Stan_And_Ollie | 87,044 | Film Historian | Comedy, Film, Legacy |
| @ValentiPodcast | 81,098 | Sports Betting | Sports Betting, Podcasting, Matchups |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,810
Followers With Bio
4,190
Followers Without Bio
58.1%
% With Bio
41.9%
% 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 3,199 analyzed1,960
Combined Engagement
1,804
Total Likes
156
Total Retweets
392
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
12 years ago. Thank you fans! https://t.co/FdeZweCC66
Wait what?!?!? #HappyThanksgiving https://t.co/z4Xdwm1Mx4
Typical meeting- me watching Les make deals on the phone https://t.co/uqJxfzFFyH
Working late! https://t.co/uuDm6gRXmZ
Workout done👊 promo time @dmaxitalia @DiscoveryItalia #BancoDeiPugni #duomo #milan #italy http://t.co/INqPhreg0o
Key Insights & Takeaways
The user has a long-standing presence on Twitter, with some of his top tweets dating back over 12 years. He frequently shares behind-the-scenes content, such as interactions with colleagues during business meetings. His use of hashtags and personal milestones suggests an effort to engage with his audience on a more personal level.
Strengths
- + Established follower base of 71,784
- + 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 @SethHCP reveals an growing Twitter presence with 71,784 followers. The account demonstrates a content-creator strategy, averaging 29.3 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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