Nathan Patterson
@Everton @ScotlandNT @adidasfootball
42,249
Followers
68
Following
146
Tweets
2,538.8
Avg Engagement
60
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NathanPatterson'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:2018-12-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:106
- Avg Likes per Tweet:2,340.8
- Avg Retweets per Tweet:198.0
- Followers Analyzed:42,203
Engagement Analysis
Based on 106 tweetsOn average, his tweets receive a significant number of likes but relatively fewer retweets, indicating a strong interest in content consumption rather than sharing. The engagement is mostly driven by likes rather than interactions.
2,340.8
Avg Likes/Tweet
198.0
Avg Retweets/Tweet
248,122
Total Likes
20,990
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
172
Median Likes
43
Median Retweets
2,915
75th Percentile
22,595
Top Tweet
60.09
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
28.3%
Original
11.3%
Replies
44.3%
Retweets
16.0%
Quotes
0.0%
Threads
0.9%
With Media
85.8%
With Links
25.5%
With #Tags
65.1%
With @Mentions
85.8%
With Emojis
104
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.9%
Weekday Posts
31.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 106 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 47 retweets (44% 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 106 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 42,203 followersHis audience primarily consists of football fans, especially those interested in Everton and Scotland national team matches. The content is likely to resonate with sports enthusiasts and followers of specific teams.
Good
Audience Quality
14.1%
Suspicion Index
23.8%
Low-Quality %
166
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.4%
Empty Bio
8.8%
<10 Tweets
11.1%
Mass Following (>2K)
0.0%
New (<90 days)
20.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
5.2%
<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.
49,969,120
Total Potential Reach
166
Median Follower Reach
424
75th Percentile Reach
9.9%
>1K followers
0.6%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
78.2%
Creators
33,000 accounts
13.1%
Consumers
5,510 accounts
8.8%
Dormant
3,693 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):
127
Verified Followers
0.3% of total
6,989
Protected Accounts
16.56% of total
8 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 | 14,106,774 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,248 | - | - |
| @Everton | 3,019,247 | Football Club | Football, Community, Merchandise |
| @RangersFC | 775,842 | Football Club | Football, Rangers, Sports |
| @TonyBellew | 745,731 | Boxer | Boxing, Everton FC, Matchroom Boxing |
| @reallorraine | 740,480 | TV Presenter | TV, Border Terriers, Help For Heroes |
| @TubesSoccerAM | 482,003 | YouTuber | Soccer, Golf, YouTube Channel |
| @billygilmourrr | 450,244 | Footballer | Football, Chelsea, Norwich City |
| @Charlie26Adam | 444,233 | Football Coach | Football, Coaching, Management |
| @Moreno | 429,878 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
24,294
Followers With Bio
17,909
Followers Without Bio
57.56%
% With Bio
42.44%
% 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 106 analyzed72,717
Combined Engagement
68,945
Total Likes
3,772
Total Retweets
14,543
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
💙 @RangersFC https://t.co/ycBYjqrKh0
First experience of another massive fixture! 100mph, end to end. Away for an early night. 💙 https://t.co/inEhsjAfw2
New home 📍Cant wait to get started. @Everton #UTT #COYB https://t.co/R1FsVeBxI8
This wee guy is going to the Euros 🥳 So proud to be selected & thanks to everyone along the way. 🏴 @ScotlandNT @EURO2020 https://t.co/2q2EK1brSo
Love it mate but sort those bottom two stickers out! 👀💙 https://t.co/gYNrWQyPlo
Key Insights & Takeaways
He frequently shares personal match experiences, which suggests a focus on storytelling and fan interaction. His content is heavily tied to specific teams and events, indicating a niche but dedicated audience. He uses hashtags and mentions to engage with broader football communities and teams.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 42,249
- + 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 @NathanPatterson reveals an exceptionally influential Twitter presence with 42,249 followers. The account demonstrates a content-creator strategy, averaging 2,538.8 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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