891,815
Followers
341
Following
7,285
Tweets
462.8
Avg Engagement
2,549
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Klow7'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:2009-04-01
- Verification:No
- Location:In my mind
Data Summary
- Tweets Analyzed:3,180
- Avg Likes per Tweet:285.9
- Avg Retweets per Tweet:176.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,180 tweetsKlow7's tweets receive an average of 32,102 likes and 5,841 retweets, indicating strong audience interaction. Their top tweets often go viral, reinforcing their influence and reach.
285.9
Avg Likes/Tweet
176.9
Avg Retweets/Tweet
909,266
Total Likes
562,460
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
2
Median Retweets
43
75th Percentile
113,204
Top Tweet
0.52
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
59.1%
Original
31.1%
Replies
8.0%
Retweets
1.8%
Quotes
0.0%
Threads
0.3%
With Media
18.4%
With Links
11.3%
With #Tags
51.1%
With @Mentions
2.5%
With Emojis
62
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.53
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.0%
Weekday Posts
30.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,180 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 254 retweets (8% 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 3,180 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 primarily consists of sports fans, especially those supporting the North team, and individuals interested in motivational and celebratory content. They are likely active on social media and engaged with sports-related discussions.
Average
Audience Quality
29.9%
Suspicion Index
36.3%
Low-Quality %
11
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.1%
Empty Bio
38.0%
<10 Tweets
7.2%
Mass Following (>2K)
0.0%
New (<90 days)
69.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
27.4%
<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.
54,920,327
Total Potential Reach
11
Median Follower Reach
75
75th Percentile Reach
3.0%
>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).
42.0%
Creators
21,010 accounts
20.0%
Consumers
10,009 accounts
38.0%
Dormant
18,981 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):
591
Verified Followers
0.59% of total
11,168
Protected Accounts
11.17% 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 |
|---|---|---|---|
| @JohnCena | 14,105,340 | Wrestler | Wrestling, Motivation, Self-promotion |
| @BigSean | 14,055,848 | Rapper | Music, Detroit, Out Now |
| @AdamSchefter | 10,326,462 | Sports Journalist | NFL, Insider, Podcast |
| @MiamiHEAT | 5,040,702 | Basketball Team | Basketball, Miami, Culture |
| @ochocinco | 3,246,858 | Researcher | Football, Gaming, Analytics |
| @JimmyKimmelLive | 2,104,510 | TV Host | Comedy, Entertainment, Fun |
| @TheHoopCentral | 1,144,269 | Sports Analyst | NBA, Analysis, News |
| @Raekwon | 842,701 | Rapper | Music, Booking, Press |
| @paulscheer | 788,600 | Actor | TV, Comedy, Podcasts |
| @Jason | 710,814 | Investor | startups, investing, podcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,546
Followers With Bio
43,454
Followers Without Bio
56.55%
% With Bio
43.45%
% 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 3,180 analyzed407,120
Combined Engagement
158,533
Total Likes
248,587
Total Retweets
81,424
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @KingJames: Media showing this???? I bet you they’re not. 🤦🏾♂️! You know why, cause this is unity, peaceful, beautiful and love!
https://t.co/FmlOdd4cYu
No words to explain these feelings and imagines !!! Hard work pays off I PROMISE!!! #WETHENORTH!!!!!! Say what you want but we are Now CHAMPIONS OF THE WORLD!! https://t.co/1LrNCOxU1t
RT @CP3: And I doubt he's man enough to call any of those players a son of a bitch to their face...
RT @CP3: With everything that's going on in our country, why are YOU focused on who's kneeling and visiting the White House??? #StayInYoLane
Key Insights & Takeaways
High engagement suggests a loyal and passionate fan base. Content focused on team success and celebration drives interaction. Verified status at 0.6% indicates a mix of authentic and possibly bot accounts.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 891,815
- + 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 @Klow7 reveals an well-established Twitter presence with 891,815 followers. The account demonstrates a content-creator strategy, averaging 462.8 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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