Tony Robinson
Actor, Writer,TV Presenter. Bristol City FC. Husband. Dad. Grandad. No cunning plan.
125,111
Followers
1,248
Following
11,685
Tweets
2,277.7
Avg Engagement
402
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Tony_Robinson'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:2014-05-08
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,118
- Avg Likes per Tweet:538.4
- Avg Retweets per Tweet:1,739.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,118 tweetsHis tweets consistently receive high engagement, with an average of 46,772 likes and 8,595 retweets, indicating a strong and active community around his content.
538.4
Avg Likes/Tweet
1,739.3
Avg Retweets/Tweet
1,678,698
Total Likes
5,423,071
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
22
Median Retweets
879
75th Percentile
354,523
Top Tweet
18.21
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
24.9%
Original
8.5%
Replies
51.2%
Retweets
15.4%
Quotes
0.0%
Threads
0.8%
With Media
42.9%
With Links
13.2%
With #Tags
62.4%
With @Mentions
9.6%
With Emojis
120
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.34
Reply/Original Ratio
0.3
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.6%
Weekday Posts
27.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,118 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 1,596 retweets (51% 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 3,118 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 followersHis audience includes fans of his work in entertainment, supporters of Bristol City FC, and individuals interested in political discourse. The mix of personal and public content appeals to a broad demographic.
Good
Audience Quality
19.9%
Suspicion Index
22.7%
Low-Quality %
78
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.8%
Empty Bio
14.8%
<10 Tweets
16.6%
Mass Following (>2K)
0.0%
New (<90 days)
40.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.7%
No URL
9.7%
<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.
65,872,245
Total Potential Reach
78
Median Follower Reach
340
75th Percentile Reach
11.6%
>1K followers
1.1%
>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).
69.3%
Creators
34,663 accounts
15.9%
Consumers
7,935 accounts
14.8%
Dormant
7,402 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):
344
Verified Followers
0.34% of total
10,384
Protected Accounts
10.38% 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 | 14,101,551 | Wrestler | Wrestling, Motivation, Self-promotion |
| @wossy | 4,888,636 | TV Presenter | self-indulgent, Instagram, life |
| @JohnBishop100 | 3,481,231 | Comedian | animal rights, podcasting, family |
| @radioleary | 2,656,522 | - | - |
| @SinghLions | 1,333,633 | Restaurateur | Food, Travel, Influencer |
| @kevinbridges86 | 1,329,101 | Comedian | Comedy, Stand-up, Humor |
| @mrjamesob | 1,135,921 | Radio Host | Politics, Radio, Author |
| @campbellclaret | 1,010,681 | Writer | Writing, Communication, Mental Health |
| @hodgman | 1,000,870 | Comedian | comedy, writing, podcasting |
| @EdKrassen | 939,269 | Journalist | Politics, Journalism, Author |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
66,559
Followers With Bio
33,441
Followers Without Bio
66.56%
% With Bio
33.44%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,118 analyzed890,395
Combined Engagement
135,635
Total Likes
754,760
Total Retweets
178,079
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
RT @DannyDeraney: This. Not only proof of evolution, but proof animals are better than us. Wait for it. https://t.co/GiD7AwEIPl
I’m not a fan of bad language on twitter.Cursing rather than choosing the right word for the occasion is a little ignorant. Nevertheless following his behaviour over the WW1 memorial ceremony in France it has to be said- President Trump is a cunt, isn’t he.
RT @IHLaking: so this is pretty much the coolest thing ever 😱 https://t.co/3VVp9exi1n
RT @KaptanHindustan: Why women live longer than men. https://t.co/beIkLFYMbN
RT @mjluxmoore: People marching through central Moscow this evening chanting “No to War!” https://t.co/BTQ3ZOGTan
Key Insights & Takeaways
He balances personal and political content effectively, which keeps his audience engaged. His use of humor and direct criticism often sparks discussion and interaction. He leverages his public persona to comment on national issues, which resonates with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 125,111
- + 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 @Tony_Robinson reveals an exceptionally influential Twitter presence with 125,111 followers. The account demonstrates a content-creator strategy, averaging 2,277.7 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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