Josh Pate
🎥🎙Host: Late Kick Live + + + Late Kick Podcast 🏈➡️ National CFB @CBSSportsHQ + @247Sports
146,512
Followers
2,691
Following
30,181
Tweets
304.7
Avg Engagement
752
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LateKickJosh'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:2009-04-23
- Verification:No
- Location:Nashville, TN
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:269.4
- Avg Retweets per Tweet:35.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,241 tweetsHis tweets typically receive high engagement, with an average of 7k likes and 800 retweets, indicating a loyal and active follower base.
269.4
Avg Likes/Tweet
35.3
Avg Retweets/Tweet
873,019
Total Likes
114,400
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
56
Median Likes
1
Median Retweets
269
75th Percentile
58,139
Top Tweet
2.08
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
25.8%
Original
57.5%
Replies
0.3%
Retweets
16.4%
Quotes
0.0%
Threads
0.2%
With Media
40.6%
With Links
0.9%
With #Tags
56.2%
With @Mentions
8.6%
With Emojis
74
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.23
Reply/Original Ratio
48.27
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.1%
Weekday Posts
25.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 11 retweets (0% 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 3,241 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 followersHis audience primarily consists of college football fans and sports enthusiasts interested in media analysis and commentary.
Good
Audience Quality
19.5%
Suspicion Index
28.6%
Low-Quality %
57
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.2%
Empty Bio
21.8%
<10 Tweets
7.8%
Mass Following (>2K)
0.0%
New (<90 days)
36.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
14.9%
<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.
8,731,902
Total Potential Reach
57
Median Follower Reach
223
75th Percentile Reach
6.1%
>1K followers
0.9%
>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).
59.9%
Creators
5,986 accounts
18.3%
Consumers
1,833 accounts
21.8%
Dormant
2,181 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):
162
Verified Followers
1.62% of total
1,150
Protected Accounts
11.5% 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 |
|---|---|---|---|
| @LeBronJames | 1,003,638 | - | - |
| @iownjd | 772,004 | Lawyer | learn, inspire, engage |
| @PennStateFball | 467,414 | Football | Football, Penn State, #WeAre |
| @MaxPreps | 348,462 | Sports Media | high school sports, leader, video submissions |
| @OleMissFB | 313,121 | Football | - |
| @MeganMakinMoney | 198,093 | Content Creator | Jokes, bets, content |
| @GregAnthony50 | 197,343 | Sports Analyst | Basketball, Broadcasting, Sports Betting |
| @JRodgers11 | 176,219 | Sports Analyst | Football, SEC, Analyst |
| @TajhB10 | 136,861 | Athlete | Football, Clemson, Leadership |
| @travisa850 | 129,427 | Cannabis Advocate | Cannabis, GreenLove, Travel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,780
Followers With Bio
4,220
Followers Without Bio
57.8%
% With Bio
42.2%
% 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 3,241 analyzed103,316
Combined Engagement
40,850
Total Likes
62,466
Total Retweets
20,663
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
RT @jordonr: Update on Damar: His vitals are back to normal and they have put him to sleep to put a breathing tube down his throat. They are currently running tests. We will provide updates as we have them.
Hendon Hooker not being a Heisman finalist tells you everything you need to know about the process
The goalposts have exited Neyland https://t.co/aBzqlMu8XZ
Can’t you just smell the pageantry?! https://t.co/RGN9QnzTkk
This isn’t the flex you think it is https://t.co/fGuAA2NGkn
Key Insights & Takeaways
He critiques the Heisman Trophy process and its lack of diversity, highlighting systemic issues in college football recognition. He comments on the evolving nature of college football media, such as the shift in goalposts at Neyland Stadium. He emphasizes the cultural and emotional aspects of college football through vivid, nostalgic descriptions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 146,512
- + 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 @LateKickJosh reveals an well-established Twitter presence with 146,512 followers. The account demonstrates a conversation-first approach, averaging 304.7 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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