Jimmy White MBE
English snooker/pool player (6 times world championship finalist, 29 time tournament winner), father & chelsea fan! All enquiries [email protected]
158,359
Followers
244
Following
4,710
Tweets
100.7
Avg Engagement
758
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jimmywhite147'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:2009-11-17
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,175
- Avg Likes per Tweet:84.1
- Avg Retweets per Tweet:16.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,175 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is further supported by his collaborations with brands like Dafabet.
84.1
Avg Likes/Tweet
16.6
Avg Retweets/Tweet
266,985
Total Likes
52,845
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
20
75th Percentile
22,309
Top Tweet
0.64
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
39.5%
Original
22.3%
Replies
34.1%
Retweets
4.2%
Quotes
0.0%
Threads
0.8%
With Media
34.5%
With Links
12.9%
With #Tags
73.7%
With @Mentions
12.2%
With Emojis
101
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.56
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,175 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 1,083 retweets (34% 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 3,175 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 primarily consists of sports enthusiasts, particularly fans of snooker, pool, and football. They are likely interested in his career updates, personal life, and team support.
Average
Audience Quality
24.7%
Suspicion Index
31.9%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.9%
Empty Bio
23.6%
<10 Tweets
11.3%
Mass Following (>2K)
0.0%
New (<90 days)
52.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.9%
No URL
14.9%
<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.
56,841,581
Total Potential Reach
40
Median Follower Reach
165
75th Percentile Reach
5.1%
>1K followers
0.5%
>10K followers
0.1%
>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).
55.1%
Creators
27,541 accounts
21.3%
Consumers
10,634 accounts
23.6%
Dormant
11,825 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):
218
Verified Followers
0.22% of total
11,420
Protected Accounts
11.31% 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 | 14,101,242 | Wrestler | Wrestling, Motivation, Self-promotion |
| @stephenfry | 12,275,383 | - | - |
| @Lord_Sugar | 5,200,935 | Entrepreneur | business, entrepreneurship, technology |
| @themichaelowen | 3,787,446 | Footballer | football, sports, pundit |
| @Hadithoftheday | 2,722,700 | Inspirational Speaker | space travel, tennis, cooking |
| @radioleary | 2,656,573 | - | - |
| @Tyson_Fury | 2,250,018 | Boxer | Boxing, Fitness, Motivation |
| @louistheroux | 2,244,759 | Documentary Filmmaker | Documentaries, Irony, Filmmaking |
| @Carra23 | 2,199,257 | Football Pundit | Football, TV punditry, Charity |
| @sportbible | 2,088,427 | Sports Media | Sport, Lifestyle, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,141
Followers With Bio
50,854
Followers Without Bio
49.65%
% With Bio
50.35%
% 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 3,175 analyzed55,498
Combined Engagement
53,009
Total Likes
2,489
Total Retweets
11,100
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
The Greatest ❤ https://t.co/6ujVPvGMFW
Congratulations Celtic Champions! @Dafabet https://t.co/Ggh43i4WDT
Congratulations @CelticFC never in doubt @Dafabet
Great result Celtic! Amazing performance. https://t.co/4dL2wbt53T
Rest in peace Mr Maximum man x https://t.co/hJi5MGkRq6
Key Insights & Takeaways
He leverages his personal brand and sports credibility to engage with fans His content often includes celebratory messages and brand partnerships He maintains a balance between professional achievements and personal interests
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 158,359
- + 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 @jimmywhite147 reveals an well-established Twitter presence with 158,359 followers. The account demonstrates a content-creator strategy, averaging 100.7 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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