KaVontae Turpin
19,743
Followers
875
Following
24,671
Tweets
342.3
Avg Engagement
68
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KaVontaeTurpin'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:2011-07-14
- Verification:No
- Location:318
Data Summary
- Tweets Analyzed:584
- Avg Likes per Tweet:26.6
- Avg Retweets per Tweet:315.8
- Followers Analyzed:19,875
Engagement Analysis
Based on 584 tweetsHis tweets receive a steady level of engagement, with an average of 774 likes and 110 retweets per post, indicating a loyal and active follower base.
26.6
Avg Likes/Tweet
315.8
Avg Retweets/Tweet
15,514
Total Likes
184,401
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
43
75th Percentile
29,086
Top Tweet
17.34
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
21.1%
Original
29.8%
Replies
43.8%
Retweets
5.3%
Quotes
0.0%
Threads
0.2%
With Media
22.3%
With Links
7.0%
With #Tags
74.7%
With @Mentions
49.1%
With Emojis
60
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.41
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
65.6%
Weekday Posts
34.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 584 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 256 retweets (44% 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 584 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 19,875 followersHis audience appears to be fans of football and motivational content, with a focus on younger demographics interested in NFL players' personal insights.
Good
Audience Quality
16.4%
Suspicion Index
20.8%
Low-Quality %
154
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.7%
Empty Bio
15.0%
<10 Tweets
13.2%
Mass Following (>2K)
0.0%
New (<90 days)
29.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.6%
No URL
9.8%
<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.
89,682,293
Total Potential Reach
154
Median Follower Reach
536
75th Percentile Reach
15.1%
>1K followers
1.6%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
71.2%
Creators
14,150 accounts
13.8%
Consumers
2,744 accounts
15.0%
Dormant
2,981 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):
424
Verified Followers
2.13% of total
2,272
Protected Accounts
11.43% of total
8 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 |
|---|---|---|---|
| @NFL | 32,914,597 | Athlete | Football, Tight End, Humor |
| @JohnCena | 14,105,719 | Wrestler | Wrestling, Motivation, Self-promotion |
| @dallascowboys | 4,373,555 | Sports Team | Football, Champions, Spanish Content |
| @NFLonFOX | 3,654,133 | Sports Media | Football, NFL, Sports |
| @EzekielElliott | 2,175,684 | Athlete | Football, Running, Ohio State |
| @JManziel2 | 1,893,058 | Athlete | Football, Good vibes |
| @KameronBennett | 1,809,537 | DJ | Music, DJing, Booking |
| @JDaIey | 1,226,312 | Owner | Esports, Gaming, Sponsorship |
| @workwthecoach | 877,837 | - | - |
| @Donald_Driver80 | 699,231 | Former NFL Player | Family, Writing, Football |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,573
Followers With Bio
6,302
Followers Without Bio
68.29%
% With Bio
31.71%
% 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 584 analyzed104,328
Combined Engagement
0
Total Likes
104,328
Total Retweets
20,866
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @Polo_Capalot: I can love you but I won’t b no fool for you
RT @rodwave: Man live yo life bra you only get 1
RT @rodwave: To all the ppl out there down and out feeling lost keep going shit get greater later
RT @Polo_Capalot: If I’m keepin it 💯 w you I expect the same in return
RT @JaMorant: gotta work for it. gotta earn it. nothing easy.
Key Insights & Takeaways
He uses emojis and hashtags to make his content more relatable and engaging. His tweets often highlight his confidence and ambition in the NFL. He emphasizes personal growth and staying true to oneself in his messaging.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 19,743
- + High community engagement through conversations
- + 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 @KaVontaeTurpin reveals an well-established Twitter presence with 19,743 followers. The account demonstrates a conversation-first approach, averaging 342.3 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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