Tom Allnutt
Football journalist for The Sunday Times | Previously Spanish football @AFP🇪🇸
10,723
Followers
2,573
Following
19,589
Tweets
412.9
Avg Engagement
262
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TomAllnutt_'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:2011-05-28
- Verification:No
- Location:London, England
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:25.0
- Avg Retweets per Tweet:388.0
- Followers Analyzed:10,059
Engagement Analysis
Based on 3,249 tweetsHis tweets typically receive a high number of likes and retweets, indicating a strong level of audience interaction. The consistent engagement suggests his content is both relevant and well-received.
25.0
Avg Likes/Tweet
388.0
Avg Retweets/Tweet
81,072
Total Likes
1,260,601
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
20
75th Percentile
123,890
Top Tweet
38.51
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
41.7%
Original
29.3%
Replies
26.4%
Retweets
2.6%
Quotes
0.0%
Threads
1.0%
With Media
36.1%
With Links
13.2%
With #Tags
48.7%
With @Mentions
6.6%
With Emojis
173
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.7
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.5%
Weekday Posts
32.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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 858 retweets (26% 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 3,249 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 10,059 followersHis followers are likely football enthusiasts, especially those interested in Spanish leagues and clubs. They are engaged with in-depth analysis and real-time updates on matches and players.
Good
Audience Quality
19.7%
Suspicion Index
18.9%
Low-Quality %
182
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.8%
Empty Bio
11.7%
<10 Tweets
25.4%
Mass Following (>2K)
0.0%
New (<90 days)
35.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.1%
No URL
7.0%
<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.
76,966,104
Total Potential Reach
182
Median Follower Reach
664
75th Percentile Reach
19.3%
>1K followers
4.8%
>10K followers
1.7%
>50K followers
1.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
76.0%
Creators
7,642 accounts
12.3%
Consumers
1,238 accounts
11.7%
Dormant
1,179 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):
553
Verified Followers
5.5% of total
1,191
Protected Accounts
11.84% 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 |
|---|---|---|---|
| @FabrizioRomano | 14,378,291 | Journalist | Football, Transfers, News |
| @JohnCena | 14,106,775 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,247 | - | - |
| @LeonKrauze | 1,584,258 | Journalist | TV, Journalism, Podcasts |
| @henrywinter | 1,357,922 | Sports Journalist | Football, Sports, Journalism |
| @gerardromero | 1,034,028 | Sports Journalist | Sports, Radio, Journalism |
| @AFPar | 866,375 | News Agency | News, Reports, World |
| @footballdaily | 703,010 | Sports Journalist | Breaking news, press conferences, interviews |
| @AFPespanol | 672,262 | News Agency | Noticias, Mundo, Periodistas |
| @TayeDiggs | 648,957 | Actor | acting, chocolate, hosting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,961
Followers With Bio
3,098
Followers Without Bio
69.2%
% With Bio
30.8%
% 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 3,249 analyzed490,171
Combined Engagement
0
Total Likes
490,171
Total Retweets
98,034
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @Carles5puyol: Respeto y admiración, Leo. Todo mi apoyo, amigo.
RT @lukamodric10: Giving up is not an option.
RT @3gerardpique: We are back.
RT @vinijr: The BOSS 😎 https://t.co/nSNQ6FY2sV
RT @HKane: Three lads who were brilliant all summer had the courage to step up & take a pen when the stakes were high. They deserve support & backing not the vile racist abuse they’ve had since last night. If you abuse anyone on social media you’re not an @England fan and
Key Insights & Takeaways
He often provides critical analysis of top clubs and their managers, such as Real Madrid and Solskjaer. He highlights emerging talents and their contributions to their teams, especially in La Liga. He references tactical insights and comparisons, such as Chelsea's success in the UCL.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,723
- + 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 @TomAllnutt_ reveals an well-established Twitter presence with 10,723 followers. The account demonstrates a content-creator strategy, averaging 412.9 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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