Saint Binky 2x
2x Super Bowl Champion. 💍 💍 Artist. 🎙
53,091
Followers
689
Following
6,694
Tweets
650.6
Avg Engagement
153
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @khalenNOTkaylen'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:2011-12-04
- Verification:No
- Location:STL Hood Baby
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:305.1
- Avg Retweets per Tweet:345.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,233 tweetsThe account has high engagement with an average of 18,444 likes and 1,705 retweets per tweet, indicating a highly interactive and interested audience.
305.1
Avg Likes/Tweet
345.5
Avg Retweets/Tweet
986,441
Total Likes
1,117,075
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
2
Median Retweets
225
75th Percentile
101,396
Top Tweet
12.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
26.6%
Original
25.8%
Replies
19.0%
Retweets
28.6%
Quotes
0.0%
Threads
0.1%
With Media
51.8%
With Links
9.5%
With #Tags
52.5%
With @Mentions
43.2%
With Emojis
105
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.97
Reply/Original Ratio
1.51
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.5%
Weekday Posts
24.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 613 retweets (19% 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 3,233 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 primarily consists of sports fans, especially NFL enthusiasts, and individuals interested in entertainment and pop culture.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
51
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)
90.4%
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.
8,198,416
Total Potential Reach
51
Median Follower Reach
212
75th Percentile Reach
5.7%
>1K followers
0.7%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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
977
Protected Accounts
9.77% 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 |
|---|---|---|---|
| @Saints | 1,741,718 | Sports Team | football, New Orleans, NFL |
| @LeBronJames | 926,158 | - | - |
| @WayneDupreeShow | 501,945 | - | - |
| @FOX8NOLA | 234,586 | News broadcaster | news, entertainment, variety |
| @ChrisHarrisJr | 215,154 | Football Player | Football, Super Bowl, New Orleans Saints |
| @jasrifootball | 146,991 | Sports Journalist | NFL, Breaking News, Original Reporting |
| @DestroyerMintzy | 126,534 | - | - |
| @Brimshack | 124,173 | Blogger | Blogging, Cold Weather, Northern Living |
| @JimNagy_SB | 122,623 | - | - |
| @mitchholthus | 91,222 | Sports Commentator | Football, Chiefs, Broadcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,644
Followers With Bio
4,356
Followers Without Bio
56.44%
% With Bio
43.56%
% 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 3,233 analyzed370,356
Combined Engagement
66,703
Total Likes
303,653
Total Retweets
74,071
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @KingJames: We’re literally hunted EVERYDAY/EVERYTIME we step foot outside the comfort of our homes! Can’t even go for a damn jog man! Like WTF man are you kidding me?!?!?!?!?!? No man fr ARE YOU KIDDING ME!!!!! I’m sorry Ahmaud(Rest In Paradise) and my prayers and blessings s
RT @ThatAsianUknow: sooo this car was tailgating me.. so I had to eliminate da dude https://t.co/vHo4oT5LXu
I just know bro was making that “Ss ss ss ss ss” noise when he was running this fast https://t.co/dpeesMC1Cx
RT @SwabyXL: T-Pain never needed auto tune. Auto tune needed T-Pain.
RT @alcxsrevenge: when it rains it pours , she like the way that i- https://t.co/RxfZpztfL0
Key Insights & Takeaways
The user frequently shares NFL-related content, particularly focusing on Patrick Mahomes and memorable game moments. They use humor and relatable language to connect with their audience. Their profile highlights both athletic and artistic sides, suggesting a multifaceted personality.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 53,091
- + 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 @khalenNOTkaylen reveals an well-established Twitter presence with 53,091 followers. The account demonstrates a content-creator strategy, averaging 650.6 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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