18,234
Followers
145
Following
2,569
Tweets
369.6
Avg Engagement
92
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @chriswillock'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:2013-03-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:2,371
- Avg Likes per Tweet:5.1
- Avg Retweets per Tweet:364.5
- Followers Analyzed:18,524
Engagement Analysis
Based on 2,371 tweetsHis tweets receive an average of 725 likes and 162 retweets, showing a consistent level of interaction. The engagement is likely driven by both his football updates and personal messages.
5.1
Avg Likes/Tweet
364.5
Avg Retweets/Tweet
12,048
Total Likes
864,299
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
6
75th Percentile
125,679
Top Tweet
20.27
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
41.2%
Original
30.7%
Replies
27.1%
Retweets
0.9%
Quotes
0.0%
Threads
0.3%
With Media
17.7%
With Links
14.3%
With #Tags
71.2%
With @Mentions
47.2%
With Emojis
60
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.75
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.8%
Weekday Posts
35.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,371 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 643 retweets (27% 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 2,371 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 18,524 followersWillock's audience includes fans of his football career and followers interested in his personal life. His engagement is moderate, with a focus on likes and retweets.
Good
Audience Quality
19.7%
Suspicion Index
21.7%
Low-Quality %
110
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.7%
Empty Bio
14.1%
<10 Tweets
17.2%
Mass Following (>2K)
0.0%
New (<90 days)
39.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
7.7%
<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.
67,241,111
Total Potential Reach
110
Median Follower Reach
327
75th Percentile Reach
8.1%
>1K followers
1.0%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.9%
Creators
12,582 accounts
18.0%
Consumers
3,331 accounts
14.1%
Dormant
2,611 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):
119
Verified Followers
0.64% of total
2,146
Protected Accounts
11.58% of total
9 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 |
|---|---|---|---|
| @Arsenal | 21,483,984 | Sports Team | Football, Club, Official |
| @JohnCena | 14,106,729 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,414 | - | - |
| @6BillionPeople | 2,038,810 | - | - |
| @PetrCech | 1,797,919 | Football Advisor | Football, Goalkeeping, Coaching |
| @SLBenfica | 1,696,433 | Sports Club | Football, Sports, Portugal |
| @RealMattLucas | 1,260,913 | Actor | Comedy, Acting, Television |
| @WBA | 1,164,154 | Football Club | Football, West Bromwich, Established |
| @alexiwobi | 899,708 | Footballer | Football, Music, Fashion |
| @AFTVMedia | 795,375 | Media | Football, Arsenal, Fans |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,906
Followers With Bio
6,618
Followers Without Bio
64.27%
% With Bio
35.73%
% 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 2,371 analyzed354,799
Combined Engagement
0
Total Likes
354,799
Total Retweets
70,960
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @EmsGotIt: A black man who was jogging in his neighborhood got slaughtered & no one's saying or doing anything. Black people deserve better than what the world gives us. We're treated as less than human. The murderers' names are Gregory/ Travis McMichael. SPREAD NOW. #Just
RT @1future: Surround yourself with people that want to see u happy.
RT @Cristiano: So happy and glad to win. Thanks Real Madrid and Portugal National team.amazing year. Simmmmmmm💪🏽💪🏽💪🏽💪🏽 https://t.co/IQCxOA5PLg
RT @neymarjr: ⚽️🤷🏽♂️🤣 https://t.co/cEj9VZ0c5Q
RT @kaniel_outis: 13 years ago the greatest Tv show ever created aired https://t.co/02HvGPtlfi
Key Insights & Takeaways
His top tweets highlight personal emotions and career milestones, which resonate with his audience. He uses a mix of personal and professional content to maintain engagement. His verified status is low, suggesting limited official endorsement or brand partnerships.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 18,234
- + 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 @chriswillock reveals an well-established Twitter presence with 18,234 followers. The account demonstrates a content-creator strategy, averaging 369.6 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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