Kayce Smith
@barstoolsports.
307,619
Followers
681
Following
29,974
Tweets
561.2
Avg Engagement
1,143
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KayceSmith'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:2012-09-05
- Verification:No
- Location:Manhattan, NY
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:93.0
- Avg Retweets per Tweet:468.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsKayce's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. Their content often sparks conversations, particularly around sports events and personal stories.
93.0
Avg Likes/Tweet
468.2
Avg Retweets/Tweet
301,741
Total Likes
1,519,281
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
107
75th Percentile
117,106
Top Tweet
1.82
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
7.8%
Original
37.8%
Replies
53.8%
Retweets
0.6%
Quotes
0.0%
Threads
0.3%
With Media
33.0%
With Links
5.8%
With #Tags
92.9%
With @Mentions
15.5%
With Emojis
111
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.85
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
53.6%
Weekday Posts
46.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 1,746 retweets (54% 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 3,245 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 followersKayce's audience primarily consists of sports enthusiasts, especially football fans, who appreciate their candid and sometimes provocative take on the sport. Their followers are likely engaged in sports discussions and enjoy a mix of humor and personal insights.
Average
Audience Quality
23.8%
Suspicion Index
31.9%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.5%
Empty Bio
22.5%
<10 Tweets
10.6%
Mass Following (>2K)
0.0%
New (<90 days)
50.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.7%
No URL
15.2%
<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.
40,023,399
Total Potential Reach
48
Median Follower Reach
182
75th Percentile Reach
3.8%
>1K followers
0.5%
>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).
58.2%
Creators
29,110 accounts
19.3%
Consumers
9,656 accounts
22.5%
Dormant
11,234 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):
1,327
Verified Followers
1.31% of total
15,136
Protected Accounts
14.99% of total
7 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 | 14,102,336 | Wrestler | Wrestling, Motivation, Self-promotion |
| @HEELZiggler | 2,707,679 | - | - |
| @KirkHerbstreit | 1,654,646 | Sports Analyst | College Football, Ohio State, Sports Broadcasting |
| @greggrunberg | 1,190,968 | Actor | ACTOR, WRITER, BANDS |
| @BrianDEvans | 1,153,345 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @PFLMMA | 915,154 | MMA Promoter | MMA, Playoffs, ESPN |
| @PardonMyTake | 862,316 | Podcasters | Sports, Comedy, Podcast |
| @TheoVon | 803,767 | Comedian | Family, Comedy, Podcasts |
| @RICHELLERYAN | 744,447 | Adult entertainer | Milf, Big Booty, OnlyFans |
| @yashar | 704,814 | Journalist | Politics, News, Culture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
53,956
Followers With Bio
47,043
Followers Without Bio
53.42%
% With Bio
46.58%
% 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 3,245 analyzed524,234
Combined Engagement
0
Total Likes
524,234
Total Retweets
104,847
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @TomBrady: Truly grateful on this day. Thank you 🙏🏻❤️ https://t.co/j2s2sezvSS
RT @RGIII: Please don’t share the video of the Damar Hamlin play. Share this because we are all Praying for him and his family. https://t.c…
RT @JoshuaPHilll: Oh shit lol. Twitter HQ in San Francisco tonight https://t.co/wAmL4PUZkU
RT @maiyajambalaya: there are tears in my eyes LMFAOOOOOOOOOO https://t.co/5aYl7srRJH
RT @JoshAllenQB: Please pray for our brother.
Key Insights & Takeaways
Kayce frequently comments on sports scheduling and events, showing a strong opinion on how games should be structured. They share personal stories, which helps build a connection with their audience. Their content often includes humor and sarcasm, which contributes to high engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 307,619
- + 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 @KayceSmith reveals an well-established Twitter presence with 307,619 followers. The account demonstrates a conversation-first approach, averaging 561.2 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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