264,387
Followers
8,853
Following
13,981
Tweets
1,163.2
Avg Engagement
579
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CollinsKey'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: Macro Influencer (100K+)
- Account Age:2011-09-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,172
- Avg Likes per Tweet:924.0
- Avg Retweets per Tweet:239.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,172 tweetsCollinsKey's tweets are highly engaging, with a focus on encouraging likes, retweets, and direct messages. The account uses a variety of tactics to boost visibility and follower interaction.
924.0
Avg Likes/Tweet
239.3
Avg Retweets/Tweet
2,930,787
Total Likes
758,929
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
641
Median Likes
166
Median Retweets
1,845
75th Percentile
30,384
Top Tweet
4.4
Engagement per 1K Followers
Normalized influence metric
Consistent
Engagement Pattern
Steady engagement across posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
71.2%
Original
4.5%
Replies
11.3%
Retweets
13.0%
Quotes
0.0%
Threads
0.3%
With Media
40.0%
With Links
15.9%
With #Tags
24.7%
With @Mentions
49.5%
With Emojis
71
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.06
Reply/Original Ratio
1.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,172 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 359 retweets (11% 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 3,172 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 entertainment, viral content, and social media interactions. They are likely active on Twitter and engaged with trending topics.
Average
Audience Quality
32.2%
Suspicion Index
37.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.7%
Empty Bio
51.5%
<10 Tweets
3.4%
Mass Following (>2K)
0.0%
New (<90 days)
70.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
32.7%
<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.
118,659,724
Total Potential Reach
3
Median Follower Reach
14
75th Percentile Reach
1.5%
>1K followers
0.4%
>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).
22.4%
Creators
11,187 accounts
26.1%
Consumers
13,070 accounts
51.5%
Dormant
25,743 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):
130
Verified Followers
0.13% of total
8,782
Protected Accounts
8.7% 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 |
|---|---|---|---|
| @MrBeast | 19,732,593 | YouTuber | Philanthropy, YouTube, Charity |
| @JohnCena | 14,101,975 | Wrestler | Wrestling, Motivation, Self-promotion |
| @markiplier | 13,926,050 | YouTuber | Gaming, Comedy, Charity |
| @LuisitoComunica | 8,937,339 | Influencer | Travel, Vlogs, Adventure |
| @hollywills | 7,244,920 | TV Presenter | Fashion, Beauty, Retail |
| @YouTubeCreators | 6,701,922 | Content Creator | tools, tips, inspiration |
| @CaptainSparklez | 4,310,878 | Content Creator | Gaming, Content Creation, Apparel |
| @JoeyGraceffa | 3,659,171 | YouTuber | YouTube, LGBTQ+, Fashion |
| @HayesGrier | 3,453,129 | Influencer | Instagram, @hayesgrier |
| @miniminter | 3,331,178 | YouTuber | Gaming, YouTube, Sidemen |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,897
Followers With Bio
44,102
Followers Without Bio
56.33%
% With Bio
43.67%
% 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 3,172 analyzed76,004
Combined Engagement
39,494
Total Likes
36,510
Total Retweets
15,201
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
FOLLOW/DM SPREE! Tweet #DWTS & http://t.co/58aKl2pnyl SUPER FAST + THUMBS UP & COMMENT on the vid for a FOLLOW/DM!! VOTE for @HayesGrier RT
#WorthItVMA RT
Bro, #HitMeBack is stright 🔥🔥🔥!!! Congrats @jacobsartorius 🙌
RT if you want to WIN a FREE iPhone 7
Happy birthday to the one and only @AllyBrooke! Your vibrance, excitement & pure love for life is infectious! ❤️ you http://t.co/VIXemXSDB5
Key Insights & Takeaways
The account uses direct calls to action such as 'FOLLOW/DM SPREE!' to drive engagement. Interactive elements like voting and commenting on videos are frequently used to boost participation. CollinsKey often references other users and trending topics to stay relevant and increase visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 264,387
- + 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 @CollinsKey reveals an exceptionally influential Twitter presence with 264,387 followers. The account demonstrates a content-creator strategy, averaging 1,163.2 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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