Peter Shilton
Peter Shilton OBE Record 125 England caps -1005 league games- 1387 world record most competitive games FOR ALL BOOKING enquiries contact 07719108171
60,653
Followers
789
Following
7,276
Tweets
424.8
Avg Engagement
217
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Peter_Shilton'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:2010-09-09
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,219
- Avg Likes per Tweet:149.1
- Avg Retweets per Tweet:275.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,219 tweetsHis tweets receive a high number of likes and retweets, indicating a loyal and active following. The engagement suggests his content resonates with his audience.
149.1
Avg Likes/Tweet
275.7
Avg Retweets/Tweet
479,893
Total Likes
887,554
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
64
75th Percentile
170,906
Top Tweet
7.0
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
24.1%
Original
57.5%
Replies
15.1%
Retweets
3.3%
Quotes
0.0%
Threads
0.4%
With Media
28.5%
With Links
9.9%
With #Tags
93.3%
With @Mentions
48.0%
With Emojis
118
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.38
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,219 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 486 retweets (15% 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 3,219 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 includes fans of football and individuals interested in his personal views. The audience is likely to be British and politically engaged.
Average
Audience Quality
20.1%
Suspicion Index
23.6%
Low-Quality %
106
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.8%
Empty Bio
13.7%
<10 Tweets
20.1%
Mass Following (>2K)
0.0%
New (<90 days)
36.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
8.5%
<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.
26,201,246
Total Potential Reach
106
Median Follower Reach
353
75th Percentile Reach
10.6%
>1K followers
1.1%
>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).
69.4%
Creators
6,936 accounts
17.0%
Consumers
1,698 accounts
13.7%
Dormant
1,366 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):
112
Verified Followers
1.12% of total
989
Protected Accounts
9.89% of total
6 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 | 14,075,201 | Wrestler | Wrestling, Motivation, Self-promotion |
| @theJeremyVine | 786,556 | Broadcaster | radio, eggheads, poetry |
| @DietmarHamann | 628,675 | Footballer | Football, Pundit, Liverpool |
| @L9arami | 613,689 | - | - |
| @danwootton | 512,558 | Journalist | News, Presenter, Columnist |
| @BoyGeorge | 500,804 | Singer | Music, Fashion, LGBTQ+ |
| @RaheemKassam | 441,998 | Journalist | Politics, Journalism, Conservative |
| @Moreno | 428,840 | Influencer | Business, Manager, Serious |
| @thomaspower | 286,441 | Entrepreneur | AI, Bitcoin, Climate |
| @LouiseMensch | 266,572 | Political commentator | NoJabNoJob, Dear Mr. Putin, Unhinged |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,123
Followers With Bio
3,877
Followers Without Bio
61.23%
% With Bio
38.77%
% 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 3,219 analyzed402,033
Combined Engagement
46,808
Total Likes
355,225
Total Retweets
80,407
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @RoyalFamily: It is with deep sorrow that Her Majesty The Queen has announced the death of her beloved husband, His Royal Highness The Prince Philip, Duke of Edinburgh. His Royal Highness passed away peacefully this morning at Windsor Castle. https://t.co/XOIDQqlFPn
RT @ManUtd: Cristiano Ronaldo is to leave Manchester United by mutual agreement, with immediate effect. The club thanks him for his immense contribution across two spells at Old Trafford. #MUFC
Megan Markel never was going to be part of our Royal family she is an American actress who has manipulated Harry to get what she wants! Which is a big house in California and a big bank balance playing every card including the race card!
RT @youngy18: Hi everyone, just wanted to share my thoughts given I'm currently living in Italy, the epicentre of the virus.
RT @FIFAWorldCup: WOW 🤯 #FIFAWorldCup | #Qatar2022 https://t.co/gE0LsS2Whq
Key Insights & Takeaways
He frequently expresses strong nationalistic and patriotic sentiments. He often comments on political and royal family matters, showing a personal interest in these topics. He uses his platform to voice opinions on public figures and events, indicating a desire to influence or provoke discussion.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,653
- + 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 @Peter_Shilton reveals an well-established Twitter presence with 60,653 followers. The account demonstrates a conversation-first approach, averaging 424.8 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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