Michael Johnston
@CelticFC football player on loan to @VitoriaSC1922 🇵🇹
51,766
Followers
270
Following
1,071
Tweets
1,635.4
Avg Engagement
96
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @mikeyjohnston10'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:2012-06-07
- Verification:No
- Location:glasgow / guimaraes
Data Summary
- Tweets Analyzed:929
- Avg Likes per Tweet:151.6
- Avg Retweets per Tweet:1,483.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 929 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction.
151.6
Avg Likes/Tweet
1,483.8
Avg Retweets/Tweet
140,857
Total Likes
1,378,468
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
10
Median Retweets
369
75th Percentile
319,591
Top Tweet
31.59
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
23.6%
Original
18.3%
Replies
54.7%
Retweets
3.4%
Quotes
0.0%
Threads
0.0%
With Media
53.4%
With Links
18.2%
With #Tags
79.7%
With @Mentions
44.9%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.78
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67.5%
Weekday Posts
32.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 929 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 508 retweets (55% 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 929 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 includes football fans and followers of his career, likely from Portugal and beyond.
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)
94.9%
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.
6,215,218
Total Potential Reach
45
Median Follower Reach
187
75th Percentile Reach
5.8%
>1K followers
0.6%
>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).
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
1,147
Protected Accounts
11.47% 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 |
|---|---|---|---|
| @SoccerKingJP | 1,354,044 | Sports Journalist | soccer, YouTube, sports |
| @IamMzilikazi | 555,618 | Musician | Pan-African music, Album, Rise |
| @IrelandFootball | 304,770 | Football Association | Football, Ireland, Community |
| @nevaehbeliauwu | 186,296 | - | - |
| @ImpressionistAL | 130,101 | Impressionist | Impressionist, MUFC fan, Dad |
| @mattforde | 94,489 | Comedian | Political Party, British Scandal, Football |
| @CelticGossip | 73,336 | Blogger | Celtic, Autism awareness, Blogging |
| @PearseDoherty | 70,771 | Politician | Politics, Sinn Fein, Donegal |
| @celticbible | 68,788 | Footballer | Football, Celtic FC, 🍀 |
| @VitoriaSC1922 | 56,591 | Sports Club | Football, Passion, Tradition |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,095
Followers With Bio
4,905
Followers Without Bio
50.95%
% With Bio
49.05%
% 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 929 analyzed745,583
Combined Engagement
0
Total Likes
745,583
Total Retweets
149,117
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @LCFC: Leicester City. Champions of England. https://t.co/WRwfysTn2N
RT @AdamParkhomenko: the most normal thing in 2017 so far https://t.co/X05h6nQFrG
RT @PSG_inside: Paris Saint-Germain is very happy to announce the arrival of Neymar Jr ➡ https://t.co/lKFj4qPDYA #BemvindoNeymarJR 🇧🇷 https://t.co/rSvlBiKX6D
RT @SamTikaTaka: Jamie Vardy. Remember the name and this tweet.
RT @neymarjr: ⚽️🤷🏽♂️🤣 https://t.co/cEj9VZ0c5Q
Key Insights & Takeaways
He frequently references his football career and personal achievements. He uses emojis and hashtags to connect with his audience. He shares personal updates and professional milestones.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 51,766
- + 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 @mikeyjohnston10 reveals an exceptionally influential Twitter presence with 51,766 followers. The account demonstrates a content-creator strategy, averaging 1,635.4 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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