Phil Taylor
Official account of 16-time World Champion Phil ‘The Power’ Taylor! Please contact @BobGlenn180 for all enquiries, or via my official website.
345,600
Followers
341
Following
3,387
Tweets
152.1
Avg Engagement
902
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PhilTaylor'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:2009-05-10
- Verification:No
- Location:Stoke on Trent
Data Summary
- Tweets Analyzed:3,145
- Avg Likes per Tweet:115.4
- Avg Retweets per Tweet:36.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,145 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is likely driven by his status as a world champion and the personal nature of his posts.
115.4
Avg Likes/Tweet
36.7
Avg Retweets/Tweet
362,914
Total Likes
115,334
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
7
Median Retweets
48
75th Percentile
50,639
Top Tweet
0.44
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
32.2%
Original
23.1%
Replies
42.9%
Retweets
1.7%
Quotes
0.0%
Threads
0.5%
With Media
43.0%
With Links
23.8%
With #Tags
79.3%
With @Mentions
6.7%
With Emojis
109
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.72
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.7%
Weekday Posts
19.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,145 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 1,350 retweets (43% 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 3,145 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 is primarily fans and followers of his darts career, likely including sports enthusiasts and those interested in his achievements. The audience seems to value personal interactions and recognition.
Average
Audience Quality
25.2%
Suspicion Index
34.2%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.6%
Empty Bio
27.3%
<10 Tweets
7.5%
Mass Following (>2K)
0.0%
New (<90 days)
54.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.0%
No URL
17.9%
<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.
46,649,299
Total Potential Reach
28
Median Follower Reach
126
75th Percentile Reach
3.4%
>1K followers
0.3%
>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).
49.8%
Creators
24,882 accounts
22.9%
Consumers
11,458 accounts
27.3%
Dormant
13,660 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):
329
Verified Followers
0.33% of total
11,369
Protected Accounts
11.37% of total
7 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 | 14,103,291 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ToniKroos | 11,565,323 | Footballer | Football, World Cup, Champions League |
| @CH14_ | 8,812,390 | Soccer Player | Soccer, Faith, Blessed |
| @themichaelowen | 3,789,481 | Footballer | football, sports, pundit |
| @PatMcAfeeShow | 2,835,563 | Sports commentator | Sports, Betting, Entertainment |
| @ProSieben | 1,778,419 | Entertainment | Entertainment, TV, Fun |
| @ZachBoychuk | 829,514 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @theJeremyVine | 788,783 | Broadcaster | radio, eggheads, poetry |
| @TonyBellew | 745,513 | Boxer | Boxing, Everton FC, Matchroom Boxing |
| @ODDSbible | 709,588 | Betting | Betting, Community, LADbibleGroup |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,025
Followers With Bio
51,975
Followers Without Bio
48.02%
% With Bio
51.98%
% 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 3,145 analyzed110,445
Combined Engagement
97,507
Total Likes
12,938
Total Retweets
22,089
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
Thank you https://t.co/79CYdjzc6H
That one is for all of you... https://t.co/qx5S5Z61lK
Believe? https://t.co/NFScGIIav8
Words cannot express how sad and shocked I am to hear the terrible news about Eric's passing a huge influence on my career and a larger than life character the world has lost a legend. RIP pal #16
Congratulations to @Gezzyprice welcome to the Club pal you played brilliant.
Key Insights & Takeaways
His top tweets include links to his official website, suggesting a focus on directing traffic and promoting his brand. He often shares personal messages, which may help build a closer connection with his followers. The use of verified accounts and direct contact information indicates a professional approach to his social media presence.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 345,600
- + 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 @PhilTaylor reveals an well-established Twitter presence with 345,600 followers. The account demonstrates a content-creator strategy, averaging 152.1 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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