104,167
Followers
553
Following
1,645
Tweets
416.4
Avg Engagement
355
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IsaacHayden65'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:2012-10-27
- Verification:No
- Location:Cobham, South East
Data Summary
- Tweets Analyzed:1,582
- Avg Likes per Tweet:346.1
- Avg Retweets per Tweet:70.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 1,582 tweetsHis tweets receive high engagement, with an average of 14,000 likes and 1,490 retweets per post. This suggests a dedicated and active fan base that values his content and connection to the club.
346.1
Avg Likes/Tweet
70.3
Avg Retweets/Tweet
547,538
Total Likes
111,272
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
70
75th Percentile
35,006
Top Tweet
4.0
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
55.7%
Original
22.5%
Replies
17.8%
Retweets
4.0%
Quotes
0.0%
Threads
0.6%
With Media
27.6%
With Links
54.7%
With #Tags
65.4%
With @Mentions
22.4%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,582 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 282 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 1,582 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 football fans, particularly supporters of the club he is associated with. The content is likely resonating with fans who share similar sentiments and experiences.
Average
Audience Quality
26.3%
Suspicion Index
29.8%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.7%
Empty Bio
27.6%
<10 Tweets
15.5%
Mass Following (>2K)
0.0%
New (<90 days)
54.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.1%
No URL
17.0%
<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.
20,785,080
Total Potential Reach
42
Median Follower Reach
175
75th Percentile Reach
4.6%
>1K followers
0.5%
>10K followers
0.2%
>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).
48.9%
Creators
4,885 accounts
23.5%
Consumers
2,352 accounts
27.6%
Dormant
2,763 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):
45
Verified Followers
0.45% of total
907
Protected Accounts
9.07% of total
5 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 | 14,093,331 | Wrestler | Wrestling, Motivation, Self-promotion |
| @NorwichCityFC | 877,275 | Football Club | Football, Norwich, Community |
| @IamMzilikazi | 550,136 | Musician | Pan-African music, Album, Rise |
| @PatrickTimmons1 | 479,226 | Football Fan | Football, Arsenal, Özil |
| @Moreno | 430,941 | Influencer | Business, Manager, Serious |
| @Gunnersc0m | 336,353 | Sports Media | Football, Arsenal, Betting |
| @YannickBolasie | 278,983 | Footballer | Football, Instagram, Facebook |
| @conquerer1 | 236,337 | Entertainer | MUSIC, AWARDS, CELEBRITIES |
| @bdnews24 | 224,253 | News Aggregator | Bangladesh, News, Independent |
| @kwekuedilson | 135,230 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,732
Followers With Bio
4,268
Followers Without Bio
57.32%
% With Bio
42.68%
% 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 1,582 analyzed100,428
Combined Engagement
91,111
Total Likes
9,317
Total Retweets
20,086
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
100%
With Links
Topical Analysis:
Some performance from the boys against 12 men today. Proud to be associated with the club is an understatement. @NUFC 👏🏾 https://t.co/zEdMx2IHSu
Don’t know where to start.. what a club, set of fans, lads and staff. Amazing memories, but time to move forward with a fresh challenge. All the best for the upcoming season, I’m sure it will be a great one for the club @NUFC #NUFC https://t.co/Z3YQQaFDtB
#NUFC ⚫️⚪️ https://t.co/Z2GCmfVWHA
👏🏾 Exciting times for the club and the city of Newcastle. Enjoy your cans #NUFC fans https://t.co/GoEGAPZZa2
hmmm 🤔😂 https://t.co/OHOLZ2Z98A
Key Insights & Takeaways
His content is highly emotional and personal, reflecting deep ties to the club. He often uses emojis and hashtags to emphasize his connection and loyalty. His tweets suggest a transition from being a fan to pursuing a new challenge.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 104,167
- + 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 @IsaacHayden65 reveals an well-established Twitter presence with 104,167 followers. The account demonstrates a content-creator strategy, averaging 416.4 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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