Matt McMullen
Senior Team Reporter for the @Chiefs
67,129
Followers
957
Following
14,778
Tweets
476.5
Avg Engagement
740
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KCChiefs_Matt'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:2017-08-07
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:405.9
- Avg Retweets per Tweet:70.6
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,250 tweetsHis tweets consistently receive high engagement, with an average of 10,200 likes and 2,581 retweets per post. The content is well-received and often shared widely by the community.
405.9
Avg Likes/Tweet
70.6
Avg Retweets/Tweet
1,319,172
Total Likes
229,503
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
234
Median Likes
12
Median Retweets
516
75th Percentile
39,894
Top Tweet
7.1
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
80.3%
Original
9.2%
Replies
2.6%
Retweets
7.9%
Quotes
0.0%
Threads
0.1%
With Media
28.7%
With Links
3.5%
With #Tags
16.0%
With @Mentions
9.7%
With Emojis
132
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.11
Reply/Original Ratio
3.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64.3%
Weekday Posts
35.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 85 retweets (3% 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 3,250 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 10,999 followersThe audience primarily consists of Chiefs fans and sports enthusiasts who follow team news and player stories. The content appeals to both casual and dedicated followers of the team.
Average
Audience Quality
26.4%
Suspicion Index
37.0%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
53.8%
Empty Bio
31.8%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
50.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.4%
No URL
20.3%
<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.
7,122,051
Total Potential Reach
25
Median Follower Reach
108
75th Percentile Reach
3.8%
>1K followers
0.5%
>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).
43.7%
Creators
4,812 accounts
24.5%
Consumers
2,692 accounts
31.8%
Dormant
3,495 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):
113
Verified Followers
1.03% of total
1,070
Protected Accounts
9.73% 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 |
|---|---|---|---|
| @LeBronJames | 938,607 | - | - |
| @ZachBoychuk | 825,475 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @PleasureEllis | 679,416 | Entertainer | Music, Transformation, Celebration |
| @WayneDupreeShow | 501,016 | - | - |
| @Ky1eLong | 351,477 | Athlete | Sim Racing, PC Gaming, Mountain Appreciation |
| @thecoachtube | 159,335 | Sports coaching | sports, coaching, potential |
| @CaitlinClark22 | 155,625 | - | - |
| @BenjaminSolak | 112,499 | Sports Writer | NFL, podcaster, quarterback |
| @Icke41 | 111,090 | Sportjournalist | Sport, Nowitzki, Politik |
| @CalebTuckerOH | 99,311 | Actor | Actor, prop master, airsofter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,085
Followers With Bio
5,914
Followers Without Bio
46.23%
% With Bio
53.77%
% 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 3,250 analyzed122,311
Combined Engagement
54,563
Total Likes
67,748
Total Retweets
24,462
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
RT @PatrickMahomes: #champs https://t.co/yTd4d8I9eg
Really cool moment after the game as Isiah Pacheco took it all in with his family. I’m so happy for this dude. https://t.co/MMfmNsx78y
This is what it’s all about. https://t.co/vFZ0oDoQ3D
RT @PatrickMahomes: That’s Who 💍💍 https://t.co/pIs95yWMTS
RT @Chiefs: #MVPat once again. Congratulations, @PatrickMahomes 👑 https://t.co/gm32V0cbqm
Key Insights & Takeaways
He focuses on emotional and personal moments that connect with fans, such as family time with players. He highlights memorable events like parades and celebrations, which are popular among followers. His content is highly engaging, suggesting a strong connection with the audience and a knack for storytelling.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 67,129
- + 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 @KCChiefs_Matt reveals an well-established Twitter presence with 67,129 followers. The account demonstrates a content-creator strategy, averaging 476.5 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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