Jason Mcateer
Lived the dream / all views my own https://www.bearfacedtalent.com/
162,333
Followers
845
Following
9,555
Tweets
659.1
Avg Engagement
473
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MCATEER4'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:2012-09-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,183
- Avg Likes per Tweet:196.2
- Avg Retweets per Tweet:462.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,183 tweetsMCATEER4's tweets receive a high average number of likes and retweets, indicating a strong and active audience. The engagement suggests a loyal following that values personal and emotional content.
196.2
Avg Likes/Tweet
462.9
Avg Retweets/Tweet
624,549
Total Likes
1,473,473
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
2
Median Retweets
120
75th Percentile
177,516
Top Tweet
4.06
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
16.6%
Original
23.8%
Replies
40.7%
Retweets
18.9%
Quotes
0.0%
Threads
0.5%
With Media
41.0%
With Links
23.1%
With #Tags
73.8%
With @Mentions
21.2%
With Emojis
105
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.44
Reply/Original Ratio
0.46
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,183 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 1,297 retweets (41% 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 3,183 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 followersThe audience likely includes fans of football, especially Liverpool FC supporters, and individuals interested in personal stories and emotional content. They may also be interested in travel and family-oriented posts.
Average
Audience Quality
25.0%
Suspicion Index
28.8%
Low-Quality %
53
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.8%
Empty Bio
22.5%
<10 Tweets
15.1%
Mass Following (>2K)
0.0%
New (<90 days)
54.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.1%
No URL
13.8%
<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.
62,686,685
Total Potential Reach
53
Median Follower Reach
203
75th Percentile Reach
5.9%
>1K followers
0.7%
>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).
55.3%
Creators
27,641 accounts
22.2%
Consumers
11,086 accounts
22.5%
Dormant
11,273 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):
203
Verified Followers
0.2% of total
12,127
Protected Accounts
12.01% of total
8 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 | 14,100,830 | Wrestler | Wrestling, Motivation, Self-promotion |
| @WWESheamus | 4,794,537 | Wrestler | WWE, Sheamus, Celtic Warrior |
| @luisnani | 3,894,145 | Footballer | Football, Champion, Winner |
| @themichaelowen | 3,787,445 | Footballer | football, sports, pundit |
| @EURO2024 | 3,625,304 | - | - |
| @JohnBishop100 | 3,481,378 | Comedian | animal rights, podcasting, family |
| @VirgilvDijk | 3,263,853 | Footballer | Football, Liverpool FC, Oranje |
| @THEBEAT999FM | 2,396,000 | Radio Host | Entertainment, News, Sports |
| @DanielSturridge | 2,321,229 | Footballer | Football, Nike, Music |
| @Carra23 | 2,198,697 | Football Pundit | Football, TV punditry, Charity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
54,224
Followers With Bio
46,770
Followers Without Bio
53.69%
% With Bio
46.31%
% 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 3,183 analyzed559,076
Combined Engagement
144,029
Total Likes
415,047
Total Retweets
111,815
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @LFC: WE’RE PREMIER LEAGUE CHAMPIONS!! 🏆 https://t.co/qX7Duxoslm
Leave https://t.co/phxWmrUE7t
RT @LFC: WHAT A SPECIAL NIGHT!!! WE'RE GOING TO THE CHAMPIONS LEAGUE FINAL!! https://t.co/p9JxS3cfZS
RT @NHSMillion: The spirit of NHS staff is absolutely astonishing ❤️ Please RT if you’re proud. WE WILL BEAT THIS! https://t.co/BpQsq3…
RT @Nikesmilez: Make this viral for every person that suggests “Colin Kaepernick is disrespecting the military and our country” https://t.c…
Key Insights & Takeaways
The user frequently shares personal and emotional experiences, which resonate with their audience. They have a strong connection to football, particularly Liverpool FC, which is a key part of their content. Their posts often include personal milestones and family moments, indicating a focus on personal life and relationships.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 162,333
- + 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 @MCATEER4 reveals an well-established Twitter presence with 162,333 followers. The account demonstrates a conversation-first approach, averaging 659.1 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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