Chris Ramsay
🧩 🃏 🛸
69,907
Followers
767
Following
8,229
Tweets
185.0
Avg Engagement
113
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @chrisramsay52'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:2012-05-26
- Verification:No
- Location:Montreal
Data Summary
- Tweets Analyzed:3,222
- Avg Likes per Tweet:113.4
- Avg Retweets per Tweet:71.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,222 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The use of hashtags and links to external content further boosts engagement.
113.4
Avg Likes/Tweet
71.6
Avg Retweets/Tweet
365,451
Total Likes
230,700
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
61
Median Likes
2
Median Retweets
156
75th Percentile
91,739
Top Tweet
2.65
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
50.0%
Original
37.4%
Replies
3.8%
Retweets
8.9%
Quotes
0.0%
Threads
0.7%
With Media
42.1%
With Links
7.3%
With #Tags
46.5%
With @Mentions
15.6%
With Emojis
70
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.75
Reply/Original Ratio
2.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,222 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 121 retweets (4% 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 3,222 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 followersHis audience includes gaming enthusiasts, meme lovers, and fans of social media trends. The content appeals to a younger demographic interested in humor, collaboration, and online challenges.
Average
Audience Quality
21.9%
Suspicion Index
24.6%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.3%
Empty Bio
23.0%
<10 Tweets
10.1%
Mass Following (>2K)
0.0%
New (<90 days)
49.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.4%
No URL
14.9%
<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.
19,913,817
Total Potential Reach
32
Median Follower Reach
144
75th Percentile Reach
6.2%
>1K followers
1.2%
>10K followers
0.6%
>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).
55.7%
Creators
5,566 accounts
21.3%
Consumers
2,134 accounts
23.0%
Dormant
2,300 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):
182
Verified Followers
1.82% of total
951
Protected Accounts
9.51% 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 |
|---|---|---|---|
| @mmpadellan | 1,233,278 | Political Commentator | #BlueWave2022, #Feminist, #TheResistance |
| @ChandlerHallow | 1,138,095 | Influencer | Comedy, Jesus, Self-deprecating |
| @jamessmurray | 1,010,734 | Comedian | Comedy, TV shows, Thriller |
| @GiggukAZ | 852,782 | Anime YouTuber | anime, job, business |
| @NOH8Campaign | 798,824 | Activism | equality, bullying, discrimination |
| @TechBurritoUno | 784,816 | Tech Influencer | Tech, Learning, Partnerships |
| @UniverCurious | 763,637 | Science Communicator | Science, Space Exploration, Engineering |
| @andymilonakis | 583,899 | Entertainer | comedy, rap, food |
| @IAmChrisRamsey | 525,987 | Comedian | Comedy, Podcasting, Instagram |
| @DaveWeasel | 507,404 | Comedian | comedy, podcasting, live events |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,570
Followers With Bio
3,430
Followers Without Bio
65.7%
% With Bio
34.3%
% 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 3,222 analyzed201,077
Combined Engagement
12,307
Total Likes
188,770
Total Retweets
40,215
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: Dogecoin is the people’s crypto
RT @elonmusk: Legalize comedy
RT @DevonESawa: Final Destination was released 20 years ago today. Remember that scene in the movie where I quarantined myself in that cabin so death couldn’t get me? I’m doing that right fucking now, in real life!
Hey @MrBeastYT , once we plant all the trees, can we save the oceans next? 😍 #TeamTrees
See what happens when one person has an idea? This all started from a reddit post as a meme. 🤯❤️ #TeamTrees https://t.co/HdH3BlK2Rm
Key Insights & Takeaways
He often collaborates with other creators, which drives engagement and expands his reach. His content frequently ties into social causes, showing a blend of entertainment and activism. He leverages humor and relatability to connect with his audience effectively.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 69,907
- + 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 @chrisramsay52 reveals an well-established Twitter presence with 69,907 followers. The account demonstrates a content-creator strategy, averaging 185.0 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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