Kolten Wong
official twitter page of Kolten Wong second baseman for the Seattle Mariners
151,845
Followers
347
Following
1,638
Tweets
293.8
Avg Engagement
661
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @KoltenWong'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:2012-01-22
- Verification:No
- Location:Hilo, HI
Data Summary
- Tweets Analyzed:1,608
- Avg Likes per Tweet:162.3
- Avg Retweets per Tweet:131.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,608 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction.
162.3
Avg Likes/Tweet
131.4
Avg Retweets/Tweet
261,054
Total Likes
211,364
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
68
75th Percentile
33,761
Top Tweet
1.93
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
37.3%
Original
26.9%
Replies
32.3%
Retweets
3.5%
Quotes
0.0%
Threads
0.1%
With Media
23.4%
With Links
42.2%
With #Tags
74.6%
With @Mentions
11.8%
With Emojis
92
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.72
Reply/Original Ratio
0.11
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.5%
Weekday Posts
28.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,608 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 520 retweets (32% 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 1,608 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 includes baseball fans, fellow athletes, and followers of his personal journey.
Average
Audience Quality
27.7%
Suspicion Index
37.5%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.4%
Empty Bio
33.9%
<10 Tweets
8.6%
Mass Following (>2K)
0.0%
New (<90 days)
57.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
24.5%
<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.
30,845,440
Total Potential Reach
21
Median Follower Reach
111
75th Percentile Reach
3.3%
>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).
46.0%
Creators
23,008 accounts
20.1%
Consumers
10,034 accounts
33.9%
Dormant
16,958 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):
261
Verified Followers
0.26% of total
8,579
Protected Accounts
8.49% of total
7 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 |
|---|---|---|---|
| @Alyssa_Milano | 3,499,287 | - | - |
| @MikeTrout | 2,576,113 | Baseball Player | Baseball, Angels, Jess Tara |
| @6BillionPeople | 2,033,189 | - | - |
| @Buster_ESPN | 1,385,035 | Sports Journalist | Baseball, Sports, News |
| @soledadobrien | 1,317,877 | Journalist | working, mom, journalist |
| @CSuiteConfess | 1,001,519 | Executive Coach | #MeToo, Executives, Navigating |
| @BlessedMMA | 888,094 | MMA Fighter | Boxing, Family, UFC |
| @ZachBoychuk | 828,645 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @iownjd | 776,871 | Lawyer | learn, inspire, engage |
| @MattCarp13 | 768,502 | Baseball Player | Christian, Baseball, Family |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
42,466
Followers With Bio
58,530
Followers Without Bio
42.05%
% With Bio
57.95%
% 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 1,608 analyzed108,917
Combined Engagement
26,569
Total Likes
82,348
Total Retweets
21,783
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
100%
With Links
Topical Analysis:
RT @SportsCenter: We leave an empty seat on the SportsCenter set tonight to honor Stuart Scott. We will miss him. http://t.co/gUlauQI1P4
RT @espn: Craig Sager, a beloved broadcaster for Turner Sports, has died. He was 65. https://t.co/4IDqIBTkDH
I took some time to find the words to express what these last ten years with the @Cardinals have meant to me. Thank you, St. Louis. You guys will always be family. @PlayersTribune 📝: https://t.co/OdAK8EpxtU https://t.co/WLcQ5hpDTQ
RIP you will be missed buddy http://t.co/9svYttuPDo
RT @SportsCenter: The sports world and ESPN colleagues are sharing remembrances of Stuart Scott on social media. http://t.co/265k1wqlBg htt…
Key Insights & Takeaways
He often shares personal reflections and gratitude towards his past team, the Cardinals. He uses humor and casual language to connect with his audience. He frequently engages with fans and acknowledges their support.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 151,845
- + 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 @KoltenWong reveals an well-established Twitter presence with 151,845 followers. The account demonstrates a content-creator strategy, averaging 293.8 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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