107,127
Followers
526
Following
3,583
Tweets
255.2
Avg Engagement
287
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @willtudor1'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:2010-11-17
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,179
- Avg Likes per Tweet:160.6
- Avg Retweets per Tweet:94.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,179 tweetsHis tweets receive an average of 6,706 likes and 1,710 retweets, indicating a highly engaged audience. The engagement is driven by personal and nostalgic content.
160.6
Avg Likes/Tweet
94.5
Avg Retweets/Tweet
510,671
Total Likes
300,478
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
19
75th Percentile
50,791
Top Tweet
2.38
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
50.1%
Original
36.6%
Replies
11.3%
Retweets
2.0%
Quotes
0.0%
Threads
1.4%
With Media
20.5%
With Links
20.6%
With #Tags
66.3%
With @Mentions
8.9%
With Emojis
77
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.73
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.3%
Weekday Posts
27.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,179 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 358 retweets (11% 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 3,179 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 his acting roles and fellow actors. They are likely interested in behind-the-scenes content and personal updates.
Average
Audience Quality
28.2%
Suspicion Index
32.5%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.3%
Empty Bio
39.5%
<10 Tweets
6.0%
Mass Following (>2K)
0.0%
New (<90 days)
65.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.0%
No URL
27.6%
<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.
17,479,453
Total Potential Reach
8
Median Follower Reach
59
75th Percentile Reach
3.0%
>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).
39.5%
Creators
3,947 accounts
21.0%
Consumers
2,100 accounts
39.5%
Dormant
3,953 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):
17
Verified Followers
0.17% of total
1,367
Protected Accounts
13.67% of total
4 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 | 14,093,394 | Wrestler | Wrestling, Motivation, Self-promotion |
| @OccupyDemocrats | 552,248 | Political Activist | Progressive, Grassroots, Politics |
| @zammit_marc | 386,532 | Filmmaker | Film, Acting, Producing |
| @robtswthrayguns | 258,091 | Inventor | synthwave, NFT, NSFW |
| @ebruenig | 205,179 | Writer | Christianity, Motherhood, Writing |
| @EricXWest | 111,249 | Actor | Acting, Style, Media |
| @justinstylesxxx | 70,132 | Adult entertainer | Adult content, Shadow banning, Justin Styles |
| @uniofleicester | 59,774 | Education | Education, Research, Innovation |
| @and_conquer | 53,714 | Motivational Speaker | Inspiration, Conquering, Comfort Zone |
| @LaurenceFuller | 51,230 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,269
Followers With Bio
3,731
Followers Without Bio
62.69%
% With Bio
37.31%
% 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 3,179 analyzed123,011
Combined Engagement
18,041
Total Likes
104,970
Total Retweets
24,602
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @TeamGB: 29 gold, 17 silver, 19 bronze - We finished 3rd in medal table after most successful Olympics for 104 years #OurGreatestTeam RT your support
RT @TeamGB: RT if you think Danny Boyle, thousands of volunteers & all associated with “Isles of Wonder” did us proud tonight #OpeningCeremony
RT @MayorofLondon: Londoners will never be cowed by terrorism. https://t.co/SidIuIztvu
Ah just seen this #saveshadowhunters
Happy Birthday @Kat_McNamara ! This pic’s a throwback to when we found her hanging around the dumpsters 📸 🎁🎉🎈 https://t.co/GbONjAHuQt
Key Insights & Takeaways
He frequently interacts with fans and cast members, showing a strong connection with his audience. His content often includes personal milestones and nostalgic references, which resonate well with followers. He uses Twitter to express gratitude and share updates, which helps maintain a loyal and active fan base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 107,127
- + 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 @willtudor1 reveals an well-established Twitter presence with 107,127 followers. The account demonstrates a content-creator strategy, averaging 255.2 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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