Chris Davison
Senior Football Writer @realsport101. Previously @Football_LDN. Featured on various sport sites, podcasts and YouTube channels.
74,849
Followers
997
Following
17,419
Tweets
1,086.7
Avg Engagement
816
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cdavison_afc'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:2015-05-04
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:3,232
- Avg Likes per Tweet:282.3
- Avg Retweets per Tweet:804.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,232 tweetsTheir tweets typically receive high engagement with an average of 7,851 likes and 801 retweets.
282.3
Avg Likes/Tweet
804.3
Avg Retweets/Tweet
912,486
Total Likes
2,599,569
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
11
Median Retweets
487
75th Percentile
550,255
Top Tweet
14.52
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
39.0%
Original
22.4%
Replies
32.7%
Retweets
5.9%
Quotes
0.0%
Threads
1.0%
With Media
57.5%
With Links
44.1%
With #Tags
58.8%
With @Mentions
42.2%
With Emojis
142
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.57
Reply/Original Ratio
0.18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,232 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 1,056 retweets (33% 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 3,232 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 followersTheir audience includes sports enthusiasts, football fans, and individuals interested in sports journalism.
Average
Audience Quality
24.8%
Suspicion Index
26.6%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.4%
Empty Bio
22.6%
<10 Tweets
18.2%
Mass Following (>2K)
0.0%
New (<90 days)
51.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.8%
No URL
12.8%
<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.
5,406,010
Total Potential Reach
65
Median Follower Reach
221
75th Percentile Reach
5.3%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
51.3%
Creators
5,132 accounts
26.1%
Consumers
2,606 accounts
22.6%
Dormant
2,262 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):
53
Verified Followers
0.53% of total
709
Protected Accounts
7.09% of total
3 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 |
|---|---|---|---|
| @HecheJohn | 699,071 | Politician | Politics, Leadership, Public Service |
| @TransferNewsCen | 229,432 | Sports Journalist | Football, Transfer News, Podcast |
| @PFA | 205,628 | Athlete Advocate | Football, Players, Guidance |
| @TomekHajto7 | 127,672 | Footballer | Football, Schalke 04, Derby |
| @RoiLopezRivas | 121,827 | Geologist | Gobierno, URSS, Chavista |
| @GBEnglandGB | 115,723 | - | - |
| @MrProWestie | 112,327 | YouTuber | Gaming, Business, British |
| @HaroldSinnott | 105,354 | Digital Consultant | Technology, Digital Transformation, Automation |
| @YouAreMyArsenal | 86,436 | Sports Blogger | Football, Arsenal, Storytelling |
| @Thatsportsspice | 85,937 | Sports Presenter | Football, Sports, Content Creation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,964
Followers With Bio
4,036
Followers Without Bio
59.64%
% With Bio
40.36%
% 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 3,232 analyzed989,466
Combined Engagement
0
Total Likes
989,466
Total Retweets
197,893
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @PSG_inside: A new 💎 in Paris ! PSGxMESSI ❤️💙 https://t.co/2JpYSRtpCy
RT @MarcusRashford: https://t.co/A8WIIUCHrH
RT @UEFA: Following the medical emergency involving Denmark’s player Christian Eriksen, a crisis meeting has taken place with both teams and match officials and further information will be communicated at 19:45 CET. The player has been transferred to the hospital and has been s
RT @AnderHerrera: https://t.co/C9zV59zJxH
Key Insights & Takeaways
They focus on impactful and emotionally charged content, such as social justice issues and sports events. Their tweets often include links to articles, videos, and other media, suggesting a multimedia approach. They maintain a professional yet accessible tone, aligning with their role as a senior football writer.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 74,849
- + 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 @cdavison_afc reveals an exceptionally influential Twitter presence with 74,849 followers. The account demonstrates a content-creator strategy, averaging 1,086.7 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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