K9
@Chargers LB. For all business inquiries: @ryanwilliamsA1
53,275
Followers
460
Following
4,707
Tweets
603.8
Avg Engagement
114
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KennethMurray'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:2013-10-14
- Verification:No
- Location:Houston, TX
Data Summary
- Tweets Analyzed:2,957
- Avg Likes per Tweet:357.9
- Avg Retweets per Tweet:245.9
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,957 tweetsHis tweets receive high engagement, with an average of 22,000 likes and 2,600 retweets per post, indicating a highly interactive and loyal fan base.
357.9
Avg Likes/Tweet
245.9
Avg Retweets/Tweet
1,058,314
Total Likes
727,094
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
191
75th Percentile
147,069
Top Tweet
11.33
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
35.8%
Original
17.0%
Replies
35.0%
Retweets
12.2%
Quotes
0.0%
Threads
0.1%
With Media
37.8%
With Links
20.7%
With #Tags
58.5%
With @Mentions
44.1%
With Emojis
70
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.47
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,957 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 1,036 retweets (35% 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 2,957 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 followersThe audience primarily consists of sports fans, especially Chargers supporters, and individuals interested in his personal life and faith journey.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
45
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.1%
No URL
100.0%
<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.
37,458,414
Total Potential Reach
45
Median Follower Reach
199
75th Percentile Reach
5.3%
>1K followers
0.5%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
770
Protected Accounts
7.7% of total
5 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 | 14,092,761 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AdamSchefter | 10,383,611 | Sports Journalist | NFL, Insider, Podcast |
| @DezBryant | 3,465,188 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @RickWarren | 2,244,979 | Pastor | Faith, Purpose, Church |
| @WhistleBlitz | 1,136,238 | - | - |
| @OccupyDemocrats | 581,037 | Political Activist | Progressive, Grassroots, Politics |
| @Simonna | 505,619 | Actress | Film & TV, Singer, Veggie lover |
| @Moreno | 429,415 | Influencer | Business, Manager, Serious |
| @RealCoryMachado | 360,405 | Philanthropist | fighting hunger, feeding people, philanthropy |
| @1drcole | 198,603 | Doctor | Health, Animals, Climate |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,896
Followers With Bio
4,104
Followers Without Bio
58.96%
% With Bio
41.04%
% 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 2,957 analyzed451,556
Combined Engagement
132,405
Total Likes
319,151
Total Retweets
90,311
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
80%
With Links
Topical Analysis:
I did it!!!!! #CHARGERS https://t.co/My7bLT4LZr
RT @SportsCenter: We are heartbroken to report that Stuart Scott has died after a long fight with cancer. He was 49. http://t.co/aI0TGwFqGU
RT @NorthTuso: THEY ACTUALLY RESPONDED!! If 100,000 people RT, student athletes may get less homework!! @BarackObama @_Zack_Harris_ http://t.co/qS6TaxsYSq
RT @TigerWoods: I can’t thank my family, friends and fans enough for their support. Having my family by my side today is something I will never forget. To not only be able to play again, but to be able to win again, is something I will forever be grateful for. This jacket sure is
RT @markjohnson_30: I need my scholarship http://t.co/NwPD3QysrT
Key Insights & Takeaways
He leverages his platform to express pride in his team and personal achievements. His content includes a mix of sports, faith, and personal milestones. He uses hashtags and links to enhance engagement and share additional content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 53,275
- + 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 @KennethMurray reveals an well-established Twitter presence with 53,275 followers. The account demonstrates a content-creator strategy, averaging 603.8 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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