158,195
Followers
626
Following
5,578
Tweets
394.6
Avg Engagement
293
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JordanFish86'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:2010-02-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,160
- Avg Likes per Tweet:202.5
- Avg Retweets per Tweet:192.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,160 tweetsThe account maintains a high level of engagement, with consistent likes and retweets across tweets. The verified status adds credibility to the account's influence.
202.5
Avg Likes/Tweet
192.1
Avg Retweets/Tweet
639,900
Total Likes
606,878
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
4
Median Retweets
243
75th Percentile
100,517
Top Tweet
2.49
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
24.3%
Original
50.9%
Replies
21.6%
Retweets
3.1%
Quotes
0.0%
Threads
2.0%
With Media
40.2%
With Links
4.5%
With #Tags
77.1%
With @Mentions
15.2%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.1
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.4%
Weekday Posts
21.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,160 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 684 retweets (22% 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 3,160 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 50,000 followersThe audience appears to be interested in personal stories, music industry news, and celebrity updates. They engage actively with the content shared.
Good
Audience Quality
18.9%
Suspicion Index
21.7%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.9%
Empty Bio
22.4%
<10 Tweets
5.2%
Mass Following (>2K)
0.0%
New (<90 days)
44.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.2%
No URL
14.5%
<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.
60,779,072
Total Potential Reach
32
Median Follower Reach
150
75th Percentile Reach
4.5%
>1K followers
0.5%
>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).
58.7%
Creators
29,347 accounts
18.9%
Consumers
9,449 accounts
22.4%
Dormant
11,204 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):
151
Verified Followers
0.15% of total
12,891
Protected Accounts
12.76% 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 |
|---|---|---|---|
| @JohnCena | 14,100,910 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Calum5SOS | 6,918,956 | Musician | Music, Travel, Fitness |
| @JoshDevineDrums | 3,101,643 | Drummer | Music, Drumming, One Direction |
| @dantdm | 2,141,854 | YouTuber | Gaming, Streaming, Fatherhood |
| @6BillionPeople | 2,033,238 | - | - |
| @zlj517 | 1,984,597 | Spokesman | Geopolitics, Diplomacy, Communication |
| @feeeelps | 1,943,506 | Gamer | Gaming, Esports, Merchandise |
| @gregjames | 1,584,605 | Radio Host | Radio, author, cricket |
| @JackBarakat | 1,540,707 | Musician | MySpace, Change, Animal |
| @SWStheband | 1,340,891 | Musician | Music, Band, Tour |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,316
Followers With Bio
31,677
Followers Without Bio
68.63%
% With Bio
31.37%
% 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 3,160 analyzed243,313
Combined Engagement
10,861
Total Likes
232,452
Total Retweets
48,663
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @myconfusedface: I promise its even better the 2nd time you watch it. https://t.co/hU5xBERYlT
RT @eggshellfriend: Im never lonely cuz i got these little guys with me :) https://t.co/aCECjOQFZd
RT @Mick_Gordon: Marty Stratton, @idSoftware Studio Director, lied about @DOOM Eternal's OST events in a Reddit post that used disinformati…
RT @MoonpigUK: please stop uploading pics of your genitals to our cards it is against our ts and cs
10 https://t.co/OaA9MlTQOI
Key Insights & Takeaways
The account frequently shares personal milestones, such as birth announcements, which resonate well with the audience. It highlights notable events like Grammy awards, indicating an interest in music industry recognition. The use of personal details and emotional language helps build a connection with followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 158,195
- + 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 @JordanFish86 reveals an well-established Twitter presence with 158,195 followers. The account demonstrates a conversation-first approach, averaging 394.6 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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