Kalvin Phillips
⚽ @mancity & @england 🏴 📧 Enquiries [email protected]
303,036
Followers
364
Following
938
Tweets
4,970.5
Avg Engagement
434
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kalvinphillips'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:2012-02-09
- Verification:No
- Location:Manchester, England
Data Summary
- Tweets Analyzed:827
- Avg Likes per Tweet:4,171.7
- Avg Retweets per Tweet:798.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 827 tweetsHis tweets receive a high number of likes and retweets, indicating strong support from his fanbase. The engagement is largely positive and supportive in nature.
4,171.7
Avg Likes/Tweet
798.8
Avg Retweets/Tweet
3,450,014
Total Likes
660,596
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
287
Median Likes
28
Median Retweets
4,474
75th Percentile
181,013
Top Tweet
16.4
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
56.7%
Original
22.7%
Replies
14.1%
Retweets
6.4%
Quotes
0.0%
Threads
0.8%
With Media
67.0%
With Links
16.4%
With #Tags
54.7%
With @Mentions
72.3%
With Emojis
87
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.4
Reply/Original Ratio
0.45
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.7%
Weekday Posts
35.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 827 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 117 retweets (14% 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 827 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 followersThe audience primarily consists of football fans and followers of Manchester City and England. They are likely interested in his career journey and personal reflections.
Average
Audience Quality
32.8%
Suspicion Index
39.5%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.3%
Empty Bio
43.3%
<10 Tweets
9.2%
Mass Following (>2K)
0.0%
New (<90 days)
71.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
28.6%
<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.
52,695,071
Total Potential Reach
15
Median Follower Reach
72
75th Percentile Reach
2.4%
>1K followers
0.2%
>10K followers
0.0%
>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).
30.2%
Creators
15,086 accounts
26.5%
Consumers
13,261 accounts
43.3%
Dormant
21,653 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):
174
Verified Followers
0.17% of total
9,269
Protected Accounts
9.27% 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 |
|---|---|---|---|
| @WayneRooney | 17,196,193 | Footballer | Football, Derby County, Charity |
| @ManCity | 15,766,336 | Football Club | Football, Champions, Manchester |
| @BBCSport | 10,747,697 | Sports News | Sports, News, Updates |
| @Cityarabia | 6,655,256 | Sports Club | Football, News, Matches |
| @KevinDeBruyne | 4,561,274 | Footballer | Football, Manchester City, Belgium |
| @adidasfootball | 4,047,393 | Sports Brand | Sport, Change, Power |
| @BBCMOTD | 3,358,739 | Football Coverage | football, coverage, follow |
| @EnglandFootball | 2,297,556 | Football Association | grassroots, coaching, support |
| @kknowles_x | 794,849 | - | - |
| @ODDSbible | 709,516 | Betting | Betting, Community, LADbibleGroup |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,888
Followers With Bio
44,112
Followers Without Bio
55.89%
% With Bio
44.11%
% 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 827 analyzed601,996
Combined Engagement
313,829
Total Likes
288,167
Total Retweets
120,399
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @FuchsOfficial: CHAMPIONS!!!! https://t.co/pFtvo5XUNx
So proud to join one of the best clubs in the world. Can’t wait to keep on challenging myself and learn from the best along the way 🙌🏽💙 @ManCity https://t.co/FKPr2XYRdS
We gave it our all. In the end it wasn’t meant to be but I’m incredibly proud of this team. Thank you to all the staff, my teammates and, most importantly, our fans, for their amazing support. It was an honour to have played for you over the past few weeks. We’ll be back ❤️🏴
RT @kamchatka_es: This is America https://t.co/AhuTnxIjGR
Always watching over me ❤️ https://t.co/MlDXUPcuST
Key Insights & Takeaways
His tweets often highlight his pride and gratitude towards his team and coaches. He frequently shares personal reflections on his career and achievements. He uses emojis and hashtags to connect with his audience and express his emotions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 303,036
- + 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 @Kalvinphillips reveals an exceptionally influential Twitter presence with 303,036 followers. The account demonstrates a content-creator strategy, averaging 4,970.5 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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