Stan Mike Turner
SURVIVOR SEASON 42 🌴🪨🥥 Born & Raised in Hoboken, NJ Retired Battalion Chief Hoboken FD🚒 Owner/Operator of RUG DRx
10,246
Followers
400
Following
508
Tweets
156.7
Avg Engagement
63
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @HobokenMikeT'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:2009-11-25
- Verification:No
- Location:Hoboken, NJ
Data Summary
- Tweets Analyzed:489
- Avg Likes per Tweet:145.6
- Avg Retweets per Tweet:11.1
- Followers Analyzed:10,323
Engagement Analysis
Based on 489 tweetsHis tweets receive an average of 2,393 likes and 58 retweets, indicating a highly engaged audience. The content often includes personal milestones and community events, which drive interaction.
145.6
Avg Likes/Tweet
11.1
Avg Retweets/Tweet
71,192
Total Likes
5,422
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
87
75th Percentile
4,379
Top Tweet
15.29
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
40.5%
Original
40.7%
Replies
18.2%
Retweets
0.6%
Quotes
0.0%
Threads
1.2%
With Media
44.2%
With Links
34.8%
With #Tags
75.1%
With @Mentions
16.4%
With Emojis
88
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.01
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.4%
Weekday Posts
27.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 489 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 89 retweets (18% 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 489 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 10,323 followersHis followers are likely fans of Survivor, residents of Hoboken, and individuals interested in firefighting and local business. The audience also includes those who follow personal and community-oriented content.
Good
Audience Quality
16.7%
Suspicion Index
19.6%
Low-Quality %
90
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.5%
Empty Bio
9.5%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
39.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.1%
No URL
5.8%
<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.
23,811,385
Total Potential Reach
90
Median Follower Reach
268
75th Percentile Reach
7.1%
>1K followers
1.2%
>10K followers
0.3%
>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).
76.8%
Creators
7,926 accounts
13.8%
Consumers
1,420 accounts
9.5%
Dormant
977 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):
158
Verified Followers
1.53% of total
1,551
Protected Accounts
15.02% of total
9 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 | 14,105,680 | Wrestler | Wrestling, Motivation, Self-promotion |
| @iownjd | 779,541 | Lawyer | learn, inspire, engage |
| @survivorcbs | 615,078 | TV Show | Reality TV, Competition, Adventure |
| @LouiseMensch | 268,290 | Political commentator | NoJabNoJob, Dear Mr. Putin, Unhinged |
| @robtswthrayguns | 259,723 | Inventor | synthwave, NFT, NSFW |
| @PMTsportsbiz | 214,211 | - | - |
| @BostonRob | 204,861 | Reality TV Star | husband, father, adventure seeker |
| @jonmosesvocals | 195,796 | Singer | musical theatre, theatre, actor |
| @TomScibelli | 195,215 | Sports Media | Barstool Sports, Survivor, Vape God |
| @Glenny_balls | 177,995 | Content Creator | Hawaiian shirts, Barstool Sports, Beachwear |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,864
Followers With Bio
3,459
Followers Without Bio
66.49%
% With Bio
33.51%
% 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 489 analyzed15,639
Combined Engagement
15,280
Total Likes
359
Total Retweets
3,128
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Thank you. #survivor42 https://t.co/IELN5uLITA
Who’s that announcing Staci and me for the first time as husband and wife? 💍@maryanneoketch https://t.co/0fufLZzDqw
For the record I’m not 100 years old!! I’m 97! #survivor42 #seniorcitizen 👴
“There’s such grace in the game of soccer it makes me cry” … ok now I’m crying⚽️😅 #Survivor https://t.co/mYiYntsLEl
Wedding pic, look closely #friendship https://t.co/OBJNj8J1Yo
Key Insights & Takeaways
He leverages his Survivor connection to maintain relevance and engagement. His personal milestones, like marriage and age-related humor, humanize his brand. He uses verified status and consistent posting to build trust and authority.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,246
- + 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 @HobokenMikeT reveals an well-established Twitter presence with 10,246 followers. The account demonstrates a conversation-first approach, averaging 156.7 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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