KevinGohD
mlb the show and angry blue jays fan
85,245
Followers
133
Following
18,905
Tweets
367.4
Avg Engagement
116
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KevinGohD'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:2017-03-26
- Verification:Yes
- Location:Canada
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:357.5
- Avg Retweets per Tweet:9.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsKevinGohD's tweets receive an average of 2,489 likes and 75 retweets, indicating strong audience interaction. The verified status of 0.6% suggests a mix of personal and brand accounts.
357.5
Avg Likes/Tweet
9.9
Avg Retweets/Tweet
178,745
Total Likes
4,935
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
202
Median Likes
1
Median Retweets
473
75th Percentile
4,047
Top Tweet
4.31
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
36.8%
Original
61.6%
Replies
1.0%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
15.6%
With Links
0.6%
With #Tags
56.0%
With @Mentions
2.0%
With Emojis
52
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.67
Reply/Original Ratio
0.6
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.6%
Weekday Posts
26.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 5 retweets (1% 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 500 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 is likely composed of fellow sports enthusiasts, particularly fans of MLB The Show and the Toronto Blue Jays. The engagement metrics suggest a dedicated and interactive community.
Average
Audience Quality
22.2%
Suspicion Index
29.6%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.3%
Empty Bio
27.1%
<10 Tweets
5.1%
Mass Following (>2K)
0.0%
New (<90 days)
48.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
18.0%
<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.
11,210,366
Total Potential Reach
24
Median Follower Reach
124
75th Percentile Reach
2.4%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
50.8%
Creators
25,396 accounts
22.1%
Consumers
11,070 accounts
27.1%
Dormant
13,534 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):
463
Verified Followers
0.56% of total
6,754
Protected Accounts
8.14% 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 |
|---|---|---|---|
| @MLB | 10,781,580 | Sports League | Baseball, Sports, MLB |
| @BlueJays | 2,423,090 | Sports Team | Baseball, Toronto, Social Media |
| @hornets | 1,201,806 | Sports Team | Basketball, Charlotte, Flying |
| @IamMzilikazi | 540,103 | Musician | Pan-African music, Album, Rise |
| @Moreno | 430,156 | Influencer | Business, Manager, Serious |
| @robtswthrayguns | 259,722 | Inventor | synthwave, NFT, NSFW |
| @ItsShake4ndbake | 181,639 | Gamer | Sports, Gaming, YouTube |
| @FoolishBB | 151,249 | YouTuber | baseball, videos, youtube |
| @Lightshow10thPL | 137,187 | Rapper | Rapper, Sports, Gamer |
| @Chicago_History | 119,631 | Historian | Chicago, History, Beer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,140
Followers With Bio
32,839
Followers Without Bio
60.42%
% With Bio
39.58%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 500 analyzed15,136
Combined Engagement
14,705
Total Likes
431
Total Retweets
3,027
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
40%
With Links
Topical Analysis:
Tonight... https://t.co/SipwACXdIU
BLUE JAYS FANS THIS HAS TO MEAN ONE THING... AARON JUDGE IS OUR RIGHT FIELDER
First MLB 23 news is W of the century https://t.co/8t3D90EoWm
Might have bought my first home ever somehow... All I know is I love you all
I think I just saw buzz lightyear above my house... Nvm it was that fucking ball Schwarber just hit
Key Insights & Takeaways
KevinGohD's top tweets often revolve around sports news and team-related excitement His content is highly engaging, with a focus on fan reactions and predictions He leverages his platform to share both sports and entertainment-related updates
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 85,245
- + 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 @KevinGohD reveals an well-established Twitter presence with 85,245 followers. The account demonstrates a conversation-first approach, averaging 367.4 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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