Jake
Overwatch caster & analyst / Professional Coach / ex-pro OWL player - Business/Media inquiries: [email protected]
91,407
Followers
1,766
Following
6,811
Tweets
1,285.4
Avg Engagement
376
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jakeow'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:2016-10-16
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,225
- Avg Likes per Tweet:270.2
- Avg Retweets per Tweet:1,015.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,225 tweetsHis tweets typically receive high engagement, with an average of 6,972 likes and 922 retweets per post. This indicates a loyal and active community that values his insights and content.
270.2
Avg Likes/Tweet
1,015.1
Avg Retweets/Tweet
871,534
Total Likes
3,273,784
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
46
Median Likes
3
Median Retweets
361
75th Percentile
599,041
Top Tweet
14.06
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
28.9%
Original
39.7%
Replies
27.6%
Retweets
3.8%
Quotes
0.0%
Threads
0.1%
With Media
35.6%
With Links
8.2%
With #Tags
72.0%
With @Mentions
14.8%
With Emojis
107
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.37
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.8%
Weekday Posts
29.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,225 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 891 retweets (28% 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 3,225 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 followers include Overwatch players, coaches, and fans interested in competitive analysis and casters' perspectives. The audience also shows interest in personal opinions and media content.
Average
Audience Quality
22.4%
Suspicion Index
24.6%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35.5%
Empty Bio
21.4%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
59.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.3%
No URL
13.7%
<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.
20,735,082
Total Potential Reach
19
Median Follower Reach
71
75th Percentile Reach
2.4%
>1K followers
0.4%
>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).
56.6%
Creators
5,665 accounts
22.0%
Consumers
2,200 accounts
21.4%
Dormant
2,135 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):
59
Verified Followers
0.59% of total
840
Protected Accounts
8.4% of total
4 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 | 14,097,077 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LilyPichu | 1,754,731 | Content Creator | drawing, piano, streaming |
| @vincestaples | 1,237,466 | Rapper | Music, Hip-hop, Culture |
| @SlimJim | 513,547 | Snack Influencer | meat, long boi, champions |
| @xdannyxbrownx | 498,806 | Rapper | Music, Rap, Management |
| @OWCavalry | 157,526 | Gaming News | Gaming, News, Updates |
| @g4rnish | 137,040 | Streamer | gaming, streaming, fitness |
| @clafaery | 128,262 | - | - |
| @MojoOnPC | 123,542 | Content Creator | Gaming, Entrepreneurship, Business |
| @ATLReign | 83,676 | Esports Team | Esports, Overwatch, Atlanta |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,453
Followers With Bio
3,547
Followers Without Bio
64.53%
% With Bio
35.47%
% 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 3,225 analyzed1,868,309
Combined Engagement
0
Total Likes
1,868,309
Total Retweets
373,662
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @Twitter: You can have an edit button when everyone wears a mask
RT @BarackObama: Kobe was a legend on the court and just getting started in what would have been just as meaningful a second act. To lose Gianna is even more heartbreaking to us as parents. Michelle and I send love and prayers to Vanessa and the entire Bryant family on an unthink
RT @Schwarzenegger: My message to my fellow Americans and friends around the world following this week's attack on the Capitol. https://t.co/blOy35LWJ5
RT @KingJames: https://t.co/J40qxvNc82
RT @nbcsnl: 𝗙𝗹𝗶𝗽𝗽𝗲𝗱 𝘁𝗵𝗲 𝘀𝘄𝗶𝘁𝗰𝗵. https://t.co/t8qHcGRUhY
Key Insights & Takeaways
Jakeow's content often includes in-depth analysis of Overwatch gameplay and strategies. He shares personal reflections and opinions on various topics, including social issues. He maintains a professional presence while also engaging with fans and media inquiries.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 91,407
- + 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 @jakeow reveals an exceptionally influential Twitter presence with 91,407 followers. The account demonstrates a conversation-first approach, averaging 1,285.4 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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