Shayne Ward
Management: [email protected] UK Acting: [email protected]
338,758
Followers
5,025
Following
28,921
Tweets
306.3
Avg Engagement
821
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @shayneTward'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:2009-05-21
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:3,234
- Avg Likes per Tweet:123.6
- Avg Retweets per Tweet:182.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,234 tweetsHis tweets receive high average likes and retweets, indicating strong audience interaction and support for his content.
123.6
Avg Likes/Tweet
182.6
Avg Retweets/Tweet
399,813
Total Likes
590,618
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
29
Median Likes
4
Median Retweets
111
75th Percentile
181,020
Top Tweet
0.9
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
35.8%
Replies
12.8%
Retweets
9.7%
Quotes
0.0%
Threads
0.5%
With Media
52.5%
With Links
23.8%
With #Tags
67.6%
With @Mentions
52.4%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.86
Reply/Original Ratio
0.76
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,234 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 414 retweets (13% 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 3,234 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 fellow actors, fans of his work, and individuals interested in mental health awareness.
Average
Audience Quality
28.6%
Suspicion Index
38.4%
Low-Quality %
23
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.5%
Empty Bio
32.8%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
60.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
23.3%
<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.
46,917,277
Total Potential Reach
23
Median Follower Reach
109
75th Percentile Reach
4.3%
>1K followers
0.7%
>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).
45.8%
Creators
22,922 accounts
21.3%
Consumers
10,661 accounts
32.8%
Dormant
16,417 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):
427
Verified Followers
0.43% of total
11,837
Protected Accounts
11.84% 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 |
|---|---|---|---|
| @wossy | 4,891,162 | TV Presenter | self-indulgent, Instagram, life |
| @JamesArthur23 | 2,059,090 | Singer | Music, Singer, Songwriter |
| @6BillionPeople | 2,035,665 | - | - |
| @chris_kammy | 1,898,934 | Football pundit | Football, TV, Singing |
| @KameronBennett | 1,812,768 | DJ | Music, DJing, Booking |
| @VickyPattison | 1,809,293 | Reality TV Star | - |
| @iamrobertdobbs | 1,562,393 | Musician | Music, Time Machines, Crypto |
| @rogerhamilton | 928,790 | Entrepreneur | education, entrepreneurship, futurism |
| @ZachBoychuk | 829,512 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @DanielNewman | 812,744 | Actor | WALKINGDEAD, MARVEL, LGBTQ* |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
39,744
Followers With Bio
60,256
Followers Without Bio
39.74%
% With Bio
60.26%
% 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 3,234 analyzed534,496
Combined Engagement
12,829
Total Likes
521,667
Total Retweets
106,899
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @wwf_uk: There was worldwide outcry when the Notre Dame cathedral was on fire. Why is there not the same level of outrage for the fires…
RT @RoyalFamily: It is with deep sorrow that Her Majesty The Queen has announced the death of her beloved husband, His Royal Highness The P…
RT @RoyalFamily: A statement from His Majesty The King: https://t.co/AnBiyZCher
RT @faithless: We are heartbroken to say Maxi Jazz died peacefully in his sleep last night. He was a man who changed our lives in so many w…
🙏🏻 Love to you All x @itvcorrie @theCALMzone @samaritans https://t.co/2B0sbW24ld
Key Insights & Takeaways
He frequently highlights emotional and powerful content, especially from TV episodes and mental health campaigns. He actively supports and engages with fellow actors and mental health organizations. His tweets often include personal and heartfelt messages, reflecting his deep connection with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 338,758
- + 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 @shayneTward reveals an well-established Twitter presence with 338,758 followers. The account demonstrates a content-creator strategy, averaging 306.3 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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