Chris Dixon
Business - [email protected]
1,147,165
Followers
997
Following
20,484
Tweets
4,537.7
Avg Engagement
321
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @chrismd10'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: Mega Influencer (1M+)
- Account Age:2011-10-04
- Verification:No
- Location:Jersey
Data Summary
- Tweets Analyzed:3,207
- Avg Likes per Tweet:3,378.1
- Avg Retweets per Tweet:1,159.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,207 tweetsThe average likes and retweets per tweet indicate a highly engaged audience that values and shares the content. The verified status of a small percentage of followers suggests a mix of real and possibly bot accounts.
3,378.1
Avg Likes/Tweet
1,159.6
Avg Retweets/Tweet
10,833,467
Total Likes
3,718,931
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1,473
Median Likes
45
Median Retweets
4,203
75th Percentile
377,618
Top Tweet
3.96
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
52.9%
Original
32.9%
Replies
8.7%
Retweets
5.5%
Quotes
0.0%
Threads
0.7%
With Media
45.6%
With Links
3.8%
With #Tags
51.5%
With @Mentions
19.2%
With Emojis
93
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.62
Reply/Original Ratio
0.64
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
66.0%
Weekday Posts
34.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,207 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 278 retweets (9% 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 3,207 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 appears to be interested in sports, particularly football, and values content that promotes ethical behavior and critical thinking. They are likely to be fans of sports personalities and active participants in online discussions.
Below Average
Audience Quality
36.2%
Suspicion Index
50.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.1%
Empty Bio
53.2%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
77.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.8%
No URL
39.4%
<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.
7,534,090
Total Potential Reach
4
Median Follower Reach
19
75th Percentile Reach
1.2%
>1K followers
0.1%
>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).
23.7%
Creators
11,830 accounts
23.1%
Consumers
11,552 accounts
53.2%
Dormant
26,618 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):
241
Verified Followers
0.24% of total
9,446
Protected Accounts
9.35% 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 |
|---|---|---|---|
| @KarlJacobs_ | 4,713,372 | Content Creator | Comedy, Content Creation, Business |
| @GeorgeNotFound | 4,043,275 | Content Creator | Gaming, Content Creation, Comedy |
| @Lazarbeam | 2,491,438 | YouTuber | Gaming, Comedy, YouTube |
| @noahbeck | 1,101,082 | Influencer | Dancing, Fitness, Travel |
| @LeBronJames | 1,001,300 | - | - |
| @AnEsonGib | 969,024 | YouTuber | Gaming, Fitness, Comedy |
| @markgoldbridge | 633,486 | Presenter | Football, Manchester United, Presenter |
| @THE_THEO_FORD | 469,298 | - | - |
| @eurofootcom | 431,028 | Sports Media | Football, Europe, Home |
| @TheRightBoost | 407,068 | Content Creator | TikTok, Jelek, Mukanya |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,666
Followers With Bio
58,333
Followers Without Bio
42.24%
% With Bio
57.76%
% 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 3,207 analyzed1,200,849
Combined Engagement
517,568
Total Likes
683,281
Total Retweets
240,170
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
Knew naming him Meownuel Neuer was a mistake https://t.co/w3MrwH5Opn
RT @DavidKHarbour: Internet, listen... I’m a giver. I give and I give. But now I need you. I need 200k retweets to go dance with penguins.…
Always stand up for what’s right 🫡 https://t.co/4PHCskIVXU
RT @mrmedina: we dead https://t.co/lUys7DptdZ
RT @JamesBlunt: If you thought 2016 was bad - I'm releasing an album in 2017.
Key Insights & Takeaways
The user frequently comments on sports decisions and player actions, indicating a strong interest in sports analysis. They emphasize personal values such as standing up for what's right, which resonates with their audience. Their top tweets often include links, suggesting they aim to drive traffic or share additional content beyond the tweet itself.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,147,165
- + 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 @chrismd10 reveals an exceptionally influential Twitter presence with 1,147,165 followers. The account demonstrates a content-creator strategy, averaging 4,537.7 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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