Clay Walker
On tour now!
184.506
Followers
4.517
Following
8.150
Tweets
113,5
Avg Engagement
953
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ClayWalker'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:2009-04-13
- Verification:No
- Location:Texas
Data Summary
- Tweets Analyzed:3.246
- Avg Likes per Tweet:100,5
- Avg Retweets per Tweet:13,0
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.246 tweetsHis tweets typically receive around 3,488 likes and 304 retweets on average, indicating a moderately engaged audience.
100,5
Avg Likes/Tweet
13,0
Avg Retweets/Tweet
326.304
Total Likes
42.228
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
55
Median Likes
8
Median Retweets
142
75th Percentile
22.748
Top Tweet
0,62
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
79,7%
Original
12,4%
Replies
6,7%
Retweets
1,2%
Quotes
0,0%
Threads
0,6%
With Media
80,7%
With Links
25,5%
With #Tags
47,7%
With @Mentions
13,8%
With Emojis
114
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,16
Reply/Original Ratio
0,18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82,5%
Weekday Posts
17,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.246 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 217 retweets (7% 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 3.246 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 followersHis audience appears to be primarily football fans and individuals interested in personal narratives and health advocacy.
Average
Audience Quality
31,6%
Suspicion Index
43,3%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52,8%
Empty Bio
46,3%
<10 Tweets
7,5%
Mass Following (>2K)
0,0%
New (<90 days)
61,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
93,6%
No URL
33,7%
<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.
45.829.899
Total Potential Reach
14
Median Follower Reach
68
75th Percentile Reach
3,0%
>1K followers
0,4%
>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).
31,6%
Creators
15.810 accounts
22,1%
Consumers
11.044 accounts
46,3%
Dormant
23.146 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):
278
Verified Followers
0.28% of total
7.240
Protected Accounts
7.17% 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 | 14.100.276 | Wrestler | Wrestling, Motivation, Self-promotion |
| @TheTimMcGraw | 3.055.014 | Musician | Music, Country, Ultimate Edition |
| @laurenboebert | 2.413.041 | Politician | Congress, Shooters Grill, Guns |
| @6BillionPeople | 2.033.588 | - | - |
| @KameronBennett | 1.819.477 | DJ | Music, DJing, Booking |
| @BretBaier | 1.496.589 | Political Anchor | Politics, News, Author |
| @brantleygilbert | 1.469.316 | Musician | Music, Country, Collaboration |
| @LILBTHEBASEDGOD | 1.247.512 | Rapper | Music, Writing, Film |
| @JDaIey | 1.230.274 | Owner | Esports, Gaming, Sponsorship |
| @chipgaines | 1.000.904 | Entrepreneur | Magnolia, Magnolia Network, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42.637
Followers With Bio
58.358
Followers Without Bio
42.22%
% With Bio
57.78%
% 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 3.246 analyzed31.260
Combined Engagement
29.123
Total Likes
2.137
Total Retweets
6.252
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
I know all us football fans are praying for Damar Hamlin, and let’s all please pray for Tee Higgins as well. He is hurting especially along with all the players who were on the field, God bless you ALL🙏🏼
He didn’t even brake! https://t.co/UnX6kySqVB
Charlie Daniels was the first person to call me when I was diagnosed with MS, then Faith, then Wynonna.. no one else did..I’ll never forget the encouraging talk he gave me...”God has this and don’t you ever look back” he said.and I never have I’ll see you on the big stage Bubba!!
There's nothing better than when your kid's are your biggest fan! ❤️ https://t.co/neQcVF6jXg
24 years ago today I was diagnosed with MS! I’m a blessed man!!!
Key Insights & Takeaways
He frequently shares personal health struggles and the support he has received from notable figures. He emphasizes the importance of prayer and community support in times of crisis. He uses his platform to raise awareness about health issues and personal challenges.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 184.506
- + 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 @ClayWalker reveals an well-established Twitter presence with 184.506 followers. The account demonstrates a content-creator strategy, averaging 113,5 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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