Karlee Steel
96,943
Followers
2,059
Following
80,487
Tweets
1,557.0
Avg Engagement
525
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @karleesteel'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:2010-06-29
- Verification:No
- Location:Windsor, Ontario
Data Summary
- Tweets Analyzed:3,122
- Avg Likes per Tweet:152.3
- Avg Retweets per Tweet:1,404.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,122 tweetsPosts with emotional or relatable content tend to receive higher engagement. The account's engagement rate is moderate compared to other accounts with similar follower counts.
152.3
Avg Likes/Tweet
1,404.7
Avg Retweets/Tweet
475,445
Total Likes
4,385,426
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
105
Median Likes
4
Median Retweets
260
75th Percentile
94,947
Top Tweet
16.06
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
71.4%
Original
13.1%
Replies
11.0%
Retweets
4.6%
Quotes
0.0%
Threads
0.2%
With Media
16.5%
With Links
0.4%
With #Tags
25.4%
With @Mentions
22.7%
With Emojis
57
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,122 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 342 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 3,122 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 followersThe audience appears to be interested in personal stories, lifestyle tips, and relatable content. They seem to engage with emotional and practical posts.
Average
Audience Quality
32.5%
Suspicion Index
40.9%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
41.1%
<10 Tweets
14.5%
Mass Following (>2K)
0.0%
New (<90 days)
64.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
29.2%
<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.
24,186,975
Total Potential Reach
22
Median Follower Reach
84
75th Percentile Reach
2.6%
>1K followers
0.4%
>10K followers
0.1%
>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).
36.5%
Creators
3,650 accounts
22.4%
Consumers
2,242 accounts
41.1%
Dormant
4,108 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):
39
Verified Followers
0.39% of total
2,013
Protected Accounts
20.13% of total
4 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 |
|---|---|---|---|
| @JohnCena | 14,093,441 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KEEMSTAR | 2,691,578 | YouTuber | Drama, News, Business |
| @JDaIey | 1,244,209 | - | - |
| @socialslut2 | 908,632 | Adult entertainer | OnlyFans, Chat, 18+ |
| @MilesSTEREOS | 858,391 | Musician | Guitarist, Writer, Producer |
| @ZachBoychuk | 827,885 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @_DomoWilson1 | 515,568 | Singer | Music, Autism Awareness, Motherhood |
| @virtualtorii | 473,411 | Content Creator | OnlyFans, Top 2.5%, Tori |
| @Moreno | 430,886 | Influencer | Business, Manager, Serious |
| @KatieOfficialUK | 88,289 | Singer | Music, London, Dreaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,737
Followers With Bio
5,263
Followers Without Bio
47.37%
% With Bio
52.63%
% 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 3,122 analyzed451,256
Combined Engagement
0
Total Likes
451,256
Total Retweets
90,251
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @faatemsh: ‘Wtf was i about to google’ https://t.co/L50vW3t26o
RT @SAINTDIAVOLO: me everyday https://t.co/OH6jNvvHT1
RT @madzdakid: Finna be me https://t.co/mHAW8zPnpr
RT @loveangelb4by: men are like “i love a girl who has confidence” and then destroy it
RT @tttheresaa: u ever look at girls n think how the fuck u that pretty
Key Insights & Takeaways
The user frequently shares personal milestones and emotional experiences, which likely resonate with their audience. DIY and budget-friendly projects are a recurring theme, indicating an interest in practical and cost-effective solutions. The account occasionally addresses mental health topics, suggesting a focus on emotional well-being and relatability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 96,943
- + 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 @karleesteel reveals an exceptionally influential Twitter presence with 96,943 followers. The account demonstrates a content-creator strategy, averaging 1,557.0 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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