Chris Van Vliet
4x Emmy Winning TV Host. YouTuber/Podcaster/Entrepreneur. Adventurer. Vague goals get vague results. 500+ MILLION VIEWS ON YOUTUBE 🙏
64,067
Followers
20,918
Following
29,989
Tweets
99.2
Avg Engagement
354
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ChrisVanVliet'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:2009-02-19
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,242
- Avg Likes per Tweet:59.2
- Avg Retweets per Tweet:40.0
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,242 tweetsHis tweets typically receive high engagement, with an average of 6,145 likes and 432 retweets, indicating a loyal and active follower base.
59.2
Avg Likes/Tweet
40.0
Avg Retweets/Tweet
191,773
Total Likes
129,774
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
2
Median Retweets
41
75th Percentile
31,634
Top Tweet
1.55
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
34.9%
Original
33.6%
Replies
24.7%
Retweets
6.9%
Quotes
0.0%
Threads
0.6%
With Media
62.9%
With Links
9.9%
With #Tags
73.4%
With @Mentions
32.5%
With Emojis
124
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.96
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.8%
Weekday Posts
22.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,242 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 800 retweets (25% 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 3,242 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 9,998 followersHis audience likely includes fans of reality TV, YouTube content creators, and individuals interested in entrepreneurship and lifestyle content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
109
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.7%
No URL
100.0%
<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.
50,406,073
Total Potential Reach
109
Median Follower Reach
327
75th Percentile Reach
10.2%
>1K followers
2.1%
>10K followers
0.7%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
815
Protected Accounts
8.15% of total
5 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 |
|---|---|---|---|
| @TheRock | 17,064,434 | Actor | Movies, Fitness, Wrestling |
| @RandyOrton | 6,271,897 | Wrestler | Wrestling, Family, Champion |
| @mikethemiz | 3,195,382 | Wrestler | Wrestling, MizAndMrs, PeacockTV |
| @Saraya | 2,717,279 | Wrestler | Wrestling, Business, Inquiry |
| @DaneCook | 2,638,533 | Comedian | comedy, entertainment, humor |
| @Rampage4real | 720,013 | Fighter | Fighting, Righteousness, Strength |
| @PlanetTyrus | 629,725 | Commentator | Wrestling, Acting, Comedy |
| @90sWWE | 544,392 | Wrestling Fan | Wrestling, 90s, Content |
| @undertaker | 523,280 | Wrestler | Wrestling, WWE, Phenom |
| @SlimJim | 517,143 | Snack Influencer | meat, long boi, champions |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,177
Followers With Bio
2,823
Followers Without Bio
71.77%
% With Bio
28.23%
% 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 3,242 analyzed75,504
Combined Engagement
22,736
Total Likes
52,768
Total Retweets
15,101
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @Todd_Spence: Macho Man had an incredible answer when asked "Have you ever cried?" https://t.co/A969i2aHAR
Remember when I told LA Knight anyone with ears can tell that he’s over and he replied “some people don’t have ears”? It all makes sense now.
RT @JohnCena: Trust takes a lifetime to build and a moment to destroy. Treat it as valuable as it sounds.
RT @JohnCena: Don’t run away from what’s happened. But don’t let it define you. Let it teach you.
Skin to skin. Thanks for the advice @TheRock ❤️❤️ https://t.co/haK2YbFgBO https://t.co/f3O0NFBBv3
Key Insights & Takeaways
His content often blends humor with personal milestones, creating a relatable and entertaining narrative. He frequently interacts with fans and celebrities, which helps maintain a strong community connection. His YouTube success highlights the importance of consistent content creation and audience engagement.
Strengths
- + Established follower base of 64,067
- + 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 @ChrisVanVliet reveals an growing Twitter presence with 64,067 followers. The account demonstrates a content-creator strategy, averaging 99.2 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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