69,422
Followers
23,617
Following
5,910
Tweets
300.7
Avg Engagement
354
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @willchamplin'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:2008-12-24
- Verification:No
- Location:Wild West
Data Summary
- Tweets Analyzed:3,154
- Avg Likes per Tweet:35.6
- Avg Retweets per Tweet:265.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,154 tweetsHis tweets receive an average of 900 likes and 279 retweets, indicating a consistent level of interaction. The engagement is likely driven by his personal content and interactions with other creators.
35.6
Avg Likes/Tweet
265.1
Avg Retweets/Tweet
112,256
Total Likes
836,073
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
5
Median Retweets
58
75th Percentile
356,133
Top Tweet
4.33
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
37.5%
Original
34.8%
Replies
26.2%
Retweets
1.5%
Quotes
0.0%
Threads
0.8%
With Media
51.0%
With Links
49.7%
With #Tags
80.7%
With @Mentions
17.6%
With Emojis
129
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.93
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,154 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 825 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 3,154 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 appears to be primarily fellow content creators and fans interested in his personal life and work. The audience is likely active and engaged with similar creators.
Average
Audience Quality
25.4%
Suspicion Index
29.9%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.7%
Empty Bio
30.8%
<10 Tweets
21.5%
Mass Following (>2K)
0.0%
New (<90 days)
39.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.6%
No URL
20.1%
<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.
118,235,462
Total Potential Reach
54
Median Follower Reach
402
75th Percentile Reach
15.8%
>1K followers
6.5%
>10K followers
3.1%
>50K followers
2.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.8%
Creators
4,881 accounts
20.4%
Consumers
2,043 accounts
30.8%
Dormant
3,076 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):
280
Verified Followers
2.8% of total
783
Protected Accounts
7.83% 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 | 14,093,813 | Wrestler | Wrestling, Motivation, Self-promotion |
| @THEBEAT999FM | 2,392,722 | Radio Host | Entertainment, News, Sports |
| @charliekirk11 | 2,308,317 | Political Commentator | Conservative, Politics, Christianity |
| @6BillionPeople | 2,016,275 | - | - |
| @ha2936 | 1,905,652 | Influencer | Love, People, Hate |
| @KameronBennett | 1,810,667 | DJ | Music, DJing, Booking |
| @iamrobertdobbs | 1,554,678 | Musician | Music, Time Machines, Crypto |
| @MurrayNewlands | 1,510,785 | Contributor | pop art, art, entrepreneurship |
| @SinghLions | 1,328,349 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1,314,847 | Journalist | working, mom, journalist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,030
Followers With Bio
3,970
Followers Without Bio
60.3%
% With Bio
39.7%
% 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 3,154 analyzed676,256
Combined Engagement
0
Total Likes
676,256
Total Retweets
135,251
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @Real_Liam_Payne: the world just lost peace its a scary place and it's hard to take I really hope everybody is ok pray for France
RT @elonmusk: Dogecoin is the people’s crypto
RT @Lions: Sorry @dallascowboys. We know the feeling: http://t.co/CfC95Nj3Q6. #CompletingTheProcess http://t.co/7xuEA9FH49
RT @neymarjr: Que Deus nos abençoe e nos proteja 🙏💙💚💛 https://t.co/AWxskKBMoo
Key Insights & Takeaways
He frequently interacts with other creators, which suggests a strong network within the content creation community. His tweets often include personal updates, indicating a focus on sharing his life and work with his followers. He uses hashtags and links to engage his audience and promote his content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 69,422
- + 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 @willchamplin reveals an well-established Twitter presence with 69,422 followers. The account demonstrates a content-creator strategy, averaging 300.7 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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