14,846
Followers
2,698
Following
3,084
Tweets
290.2
Avg Engagement
28
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KadynProctor1'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:2019-07-07
- Verification:No
- Location:515
Data Summary
- Tweets Analyzed:2,845
- Avg Likes per Tweet:35.8
- Avg Retweets per Tweet:254.4
- Followers Analyzed:13,967
Engagement Analysis
Based on 2,845 tweetsTheir tweets receive a high number of likes and retweets, indicating strong audience interaction and interest in their updates.
35.8
Avg Likes/Tweet
254.4
Avg Retweets/Tweet
101,730
Total Likes
723,814
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
6
Median Retweets
34
75th Percentile
80,902
Top Tweet
19.55
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
4.5%
Original
7.3%
Replies
80.6%
Retweets
7.6%
Quotes
0.0%
Threads
0.4%
With Media
85.6%
With Links
20.5%
With #Tags
89.2%
With @Mentions
33.6%
With Emojis
122
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.62
Reply/Original Ratio
0.09
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,845 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 2,293 retweets (81% 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 2,845 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 13,967 followersTheir audience primarily consists of football enthusiasts and potential recruiters, with a focus on college football programs.
Good
Audience Quality
16.8%
Suspicion Index
18.8%
Low-Quality %
133
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
29.6%
Empty Bio
13.5%
<10 Tweets
17.8%
Mass Following (>2K)
0.0%
New (<90 days)
28.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.8%
No URL
7.9%
<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.
54,295,055
Total Potential Reach
133
Median Follower Reach
418
75th Percentile Reach
13.5%
>1K followers
4.0%
>10K followers
0.8%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
64.9%
Creators
9,071 accounts
21.6%
Consumers
3,015 accounts
13.5%
Dormant
1,881 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):
249
Verified Followers
1.78% of total
1,077
Protected Accounts
7.71% 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 |
|---|---|---|---|
| @JohnCena | 14,106,602 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,287 | - | - |
| @CoachJim4UM | 1,944,626 | - | - |
| @GeorgiaFootball | 1,107,161 | Football Team | Football, Georgia, Commitment |
| @WorldWideWob | 1,080,765 | Sports Analyst | NBA, Basketball, Fantasy Sports |
| @ClemsonFB | 1,037,614 | Football Team | Football, National Champs, Tigers |
| @UMichFootball | 966,338 | Football | Football, Championships, Tradition |
| @OhioStateFB | 653,049 | Football | Football, Ohio State, Championships |
| @Lane_Kiffin | 630,132 | Coach | Football, Coaching, Ole Miss |
| @CoachSchuman | 589,440 | Football Coach | Football, Recruiting, Motivation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,826
Followers With Bio
4,141
Followers Without Bio
70.35%
% With Bio
29.65%
% 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 2,845 analyzed212,856
Combined Engagement
0
Total Likes
212,856
Total Retweets
42,571
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @RealBillRussell: An announcement… https://t.co/KMJ7pG4R5Z
RT @chargers: Should we REALLY make our schedule release video an anime? yes yes yesyes yesyes yes yes yes yes yes yes yes yes yes yesyes yes yes yes yesye yes yes yes yes yesy
RT @SportsCenter: The loss of a legend. Hall of Famer John Madden, a true giant in coaching, broadcasting and gaming, has died at 85. https://t.co/KP3VJ9zxKg
RT @IAmSteveHarvey: Life will humble you
RT @espn: What a moment ❤️ Lucas Lacina, a high school wrestler with cerebral palsy, pinned his opponent for the win! (via JillWinger-Lacina/Facebook) https://t.co/YgwKlVXTef
Key Insights & Takeaways
They are actively pursuing college football opportunities and sharing their journey with followers. Their content often includes emotional and personal reflections, which resonate with their audience. They use emojis and hashtags to enhance engagement and connect with their community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 14,846
- + 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 @KadynProctor1 reveals an well-established Twitter presence with 14,846 followers. The account demonstrates a conversation-first approach, averaging 290.2 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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