Calum Chambers
Professional footballer for @AVFCOfficial. @NikeUK athlete. Views are my own. https://www.facebook.com/unsupportedbrowser
846,300
Followers
155
Following
747
Tweets
2,604.1
Avg Engagement
1,918
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CalumChambers95'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:2013-08-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:744
- Avg Likes per Tweet:2,010.6
- Avg Retweets per Tweet:593.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 744 tweetsHis tweets receive high engagement, with an average of 38,704 likes and 5,180 retweets per tweet.
2,010.6
Avg Likes/Tweet
593.4
Avg Retweets/Tweet
1,495,902
Total Likes
441,524
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
704
Median Likes
208
Median Retweets
2,485
75th Percentile
83,415
Top Tweet
3.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
79.7%
Original
3.8%
Replies
15.2%
Retweets
1.3%
Quotes
0.0%
Threads
0.7%
With Media
78.1%
With Links
34.5%
With #Tags
41.0%
With @Mentions
53.9%
With Emojis
95
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
70.4%
Weekday Posts
29.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 744 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 113 retweets (15% 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 744 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 football fans, athletes, and followers interested in personal stories and behind-the-scenes content.
Average
Audience Quality
28.5%
Suspicion Index
30.2%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.3%
Empty Bio
34.4%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
63.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.9%
No URL
21.2%
<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.
41,399,037
Total Potential Reach
29
Median Follower Reach
132
75th Percentile Reach
3.8%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
39.3%
Creators
19,630 accounts
26.3%
Consumers
13,151 accounts
34.4%
Dormant
17,219 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):
178
Verified Followers
0.18% of total
7,087
Protected Accounts
7.02% 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 | 14,105,451 | Wrestler | Wrestling, Motivation, Self-promotion |
| @piersmorgan | 8,456,465 | Journalist | quotes, media, controversy |
| @AVFCOfficial | 2,302,947 | Football Club | Football, Community, Foundation |
| @ALIBABAGCFR | 948,939 | Comedian | Comedy, Motivation, TV |
| @L9arami | 608,637 | - | - |
| @gabimartinelli | 595,599 | Footballer | Football, ⚽️, Sports |
| @Bernd_Leno | 592,253 | Footballer | Football, Goalkeeping, Fitness |
| @IamMzilikazi | 544,933 | Musician | Pan-African music, Album, Rise |
| @Moreno | 430,246 | Influencer | Business, Manager, Serious |
| @OnlyVikingos | 398,614 | Football Fan | Football, Real Madrid, Passion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,223
Followers With Bio
36,776
Followers Without Bio
63.59%
% With Bio
36.41%
% 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 744 analyzed285,602
Combined Engagement
261,208
Total Likes
24,394
Total Retweets
57,120
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
7 years and a lifetime of memories later!! A special thanks to Arsene Wenger for making it possible and all the staff at London Colney 🙏🏼 Last but not least to all the fans that have supported me, you’ve made this experience one to remember! Calum. https://t.co/co7j5wzljJ
North London is…. Claret 😜😂 Happy new year!! #UTV https://t.co/1cGWyEmrks
The cameras sometimes only show one side of the story. It’s always great to meet our Junior Gunners mascot in the dressing room before every match. We hope Billy had a great day at Norwich on Sunday and it was a pleasure to meet him. https://t.co/qBBRZz1g8e
1-0 to the Arsenal..... 🎶 Get in there!! Great start to the season, let’s build on this 💪🏼 https://t.co/N8dRug1APc
Devastated to end 2019 like this! If there’s one message I’d like to get across it’s that I’m DETERMINED to come back stronger than I’ve ever been before! I would like to say a massive thank you for all the messages and support I’ve been given over the last couple of day’s! 🙌🏼
Key Insights & Takeaways
He often shares heartfelt and nostalgic messages about his career and personal experiences. He highlights his connection with fans and the football community through personal stories and gratitude. He uses humor and emojis to engage his audience and create a friendly tone.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 846,300
- + 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 @CalumChambers95 reveals an exceptionally influential Twitter presence with 846,300 followers. The account demonstrates a content-creator strategy, averaging 2,604.1 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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