Chris Wheeler
Football writer for the Daily Mail
64,073
Followers
99
Following
4,279
Tweets
268.1
Avg Engagement
550
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ChrisWheelerDM'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:2012-03-28
- Verification:No
- Location:UK
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:242.2
- Avg Retweets per Tweet:25.8
- Followers Analyzed:45,239
Engagement Analysis
Based on 500 tweetsHis tweets typically receive strong engagement, suggesting a loyal and active audience. The high average likes and retweets indicate his content is widely shared and appreciated.
242.2
Avg Likes/Tweet
25.8
Avg Retweets/Tweet
121,108
Total Likes
12,924
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
107
Median Likes
11
Median Retweets
218
75th Percentile
13,099
Top Tweet
4.18
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
99.2%
Original
0.0%
Replies
0.4%
Retweets
0.4%
Quotes
0.0%
Threads
0.2%
With Media
50.0%
With Links
95.8%
With #Tags
37.0%
With @Mentions
0.6%
With Emojis
168
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
88.0%
Weekday Posts
12.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 2 retweets (0% 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 500 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 45,239 followersHis audience is primarily interested in football news, especially involving high-profile players and clubs like Manchester United. The audience likely includes fans and followers of sports journalism.
Average
Audience Quality
22.8%
Suspicion Index
24.1%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.0%
Empty Bio
17.1%
<10 Tweets
16.8%
Mass Following (>2K)
0.0%
New (<90 days)
51.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
10.3%
<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.
69,734,798
Total Potential Reach
65
Median Follower Reach
243
75th Percentile Reach
7.5%
>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).
62.9%
Creators
28,476 accounts
20.0%
Consumers
9,042 accounts
17.1%
Dormant
7,721 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):
486
Verified Followers
1.07% of total
4,609
Protected Accounts
10.19% of total
6 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 |
|---|---|---|---|
| @FabrizioRomano | 14,416,091 | Journalist | Football, Transfers, News |
| @UnitedStandMUFC | 1,913,203 | Fan Channel | Manchester United, Global Fanbase, Latest News |
| @David_Ornstein | 1,882,969 | Football Correspondent | - |
| @TrendEPL | 1,451,658 | Sports Journalist | English Premier League, Different preferences, Best league |
| @utdreport | 1,379,596 | Sports News | Football, Manchester United, News |
| @ManUnitedZone_ | 1,367,557 | Fan Account | Football, Manchester United, Updates |
| @henrywinter | 1,357,455 | Sports Journalist | Football, Sports, Journalism |
| @StanCollymore | 894,570 | Football Analyst | Football, Anti-Racism, Mental Health |
| @LuisOmarTapia | 894,222 | Sports commentator | Soccer, Champions League, Commentator |
| @UtdDistrict | 739,715 | Sports Journalist | Football, Manchester United, Coverage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,052
Followers With Bio
17,187
Followers Without Bio
62.01%
% With Bio
37.99%
% 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 500 analyzed38,215
Combined Engagement
33,623
Total Likes
4,592
Total Retweets
7,643
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
20%
With @Mentions
0%
With Links
Topical Analysis:
BREAKING: Cristiano Ronaldo REFUSED to come on as a substitute in Man Utd's win over Spurs before leaving Old Trafford early. Full exclusive story on @MailOnline shortly #mufc
Utd have taken the first steps towards kicking Ronaldo out of the club + he will effectively be sacked for breach of contract which will be torn up + Portugal star set to lose £16m in wages + Utd decided there was no way back + team-mates said to be ambivalent towards him #mufc
Man Utd confirm Glazers will consider selling #mufc
Breaking: Ronaldo walks away for nothing without a penny of the £16m remaining on his contract #mufc
Martinez set to return to the squad v Bournemouth on Tuesday and Maguire now faces fight for his Utd future. Unlikely the club would get half the £80m they paid Leicester. Move in the summer more likely than Jan #mufc
Key Insights & Takeaways
He frequently reports on breaking football news, especially involving top players and clubs. His tweets often include exclusive stories, which likely drive high engagement. He covers topics such as player contracts, club management, and potential transfers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 64,073
- + 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 @ChrisWheelerDM reveals an well-established Twitter presence with 64,073 followers. The account demonstrates a content-creator strategy, averaging 268.1 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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