Kevin Davies
Football Intermediary with over 800 professional football appearances (including 1 for England) UEFA A Coach, @MSD_MMU graduate. [email protected] @kcdmanagement
153,658
Followers
869
Following
18,969
Tweets
373.3
Avg Engagement
1,290
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Kevin__Davies'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:2010-10-21
- Verification:No
- Location:Poole, England
Data Summary
- Tweets Analyzed:3,223
- Avg Likes per Tweet:33.7
- Avg Retweets per Tweet:339.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,223 tweetsHis tweets receive an average of 3,032 likes and 303 retweets, indicating a moderate level of engagement. The content is likely shared by his followers for its blend of sports and social topics.
33.7
Avg Likes/Tweet
339.7
Avg Retweets/Tweet
108,501
Total Likes
1,094,759
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
30
75th Percentile
116,985
Top Tweet
2.43
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
15.0%
Original
40.6%
Replies
39.9%
Retweets
4.4%
Quotes
0.0%
Threads
0.4%
With Media
29.4%
With Links
13.6%
With #Tags
91.4%
With @Mentions
39.4%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.7
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.1%
Weekday Posts
30.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,223 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 1,287 retweets (40% 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 3,223 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 and followers of his coaching and media work. The content appeals to those interested in sports and social issues.
Average
Audience Quality
25.9%
Suspicion Index
37.8%
Low-Quality %
50
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
32.1%
<10 Tweets
10.7%
Mass Following (>2K)
0.0%
New (<90 days)
46.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.7%
No URL
23.0%
<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.
74,122,458
Total Potential Reach
50
Median Follower Reach
204
75th Percentile Reach
5.8%
>1K followers
0.9%
>10K followers
0.4%
>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).
48.6%
Creators
24,286 accounts
19.4%
Consumers
9,686 accounts
32.1%
Dormant
16,028 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):
143
Verified Followers
0.14% of total
11,097
Protected Accounts
10.99% of total
10 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 |
|---|---|---|---|
| @NatbyNature | 2,468,492 | Wrestler | WWE, wrestling, Nattie |
| @DanielSturridge | 2,321,209 | Footballer | Football, Nike, Music |
| @BeatsByAssassin | 2,261,326 | Multitalented | Actor, Director, Rapper |
| @Fellaini | 2,179,501 | Footballer | Football, Shandong Luneng, Belgium |
| @sportbible | 2,088,453 | Sports Media | Sport, Lifestyle, Entertainment |
| @amirkingkhan | 2,086,867 | Boxer | Boxing, Champion, President |
| @6BillionPeople | 2,033,188 | - | - |
| @David_Ornstein | 1,887,537 | Football Correspondent | - |
| @SouthamptonFC | 1,605,195 | Football Club | Football, News, Updates |
| @Sporf | 1,386,704 | Sports Media | Sport, Conversation, Social Chain Group |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,087
Followers With Bio
50,911
Followers Without Bio
49.59%
% With Bio
50.41%
% 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 3,223 analyzed388,585
Combined Engagement
0
Total Likes
388,585
Total Retweets
77,717
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @LCFC: https://t.co/hQSR0IDWWg
RT @Complex: Smoothest moonwalk ever. https://t.co/1KxXkchcVx
RT @TJ_Hewitt: I’ve watched this about 10 times and have belly laughed every time. I now share it with you to do the same. 😂😂😂 https://t.co…
RT @SCMPNews: Bust a move – with your school principal. 🕺 https://t.co/dGpKphbcAi
RT @NUFC: We'll never forget you, Cheick. ⚫️⚪️ https://t.co/c8aO6EyW5w
Key Insights & Takeaways
Davies often comments on football matches and player behavior, such as questioning referee decisions and diving incidents. He uses his platform to address broader social issues, like teaching manners and respect to children. His content is a mix of sports analysis and personal opinions, which helps maintain audience interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 153,658
- + High community engagement through conversations
- + 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 @Kevin__Davies reveals an well-established Twitter presence with 153,658 followers. The account demonstrates a conversation-first approach, averaging 373.3 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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