Jake Lucky
Long neck news guy | To be interviewed DM me • Thunderpick: https://go.thunder.partners/visit/?bta=35996&nci=5560&campaign=JakeLucky | @esportscloset | [email protected]
459,370
Followers
1,840
Following
33,102
Tweets
3,744.6
Avg Engagement
761
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JakeSucky'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:2014-05-31
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:3,602.4
- Avg Retweets per Tweet:142.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,249 tweetsOn average, his tweets receive a substantial number of likes and retweets, showing strong audience interaction. The verified status adds credibility to his content.
3,602.4
Avg Likes/Tweet
142.2
Avg Retweets/Tweet
11,704,265
Total Likes
461,960
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
573
Median Likes
5
Median Retweets
2,777
75th Percentile
169,978
Top Tweet
8.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
35.3%
Original
64.5%
Replies
0.0%
Retweets
0.2%
Quotes
0.0%
Threads
0.2%
With Media
49.2%
With Links
0.8%
With #Tags
45.6%
With @Mentions
9.8%
With Emojis
113
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.83
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 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.
Posting Patterns & Optimal Timing
Based on 3,249 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 interested in gaming, entertainment, and news updates. The high engagement suggests a loyal and active follower base.
Good
Audience Quality
18.6%
Suspicion Index
23.8%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.4%
Empty Bio
20.0%
<10 Tweets
3.1%
Mass Following (>2K)
0.0%
New (<90 days)
45.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.3%
No URL
13.3%
<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.
57,954,838
Total Potential Reach
32
Median Follower Reach
111
75th Percentile Reach
3.7%
>1K followers
0.8%
>10K followers
0.2%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
58.4%
Creators
29,178 accounts
21.6%
Consumers
10,804 accounts
20.0%
Dormant
10,018 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):
1,848
Verified Followers
1.83% of total
9,438
Protected Accounts
9.34% 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 |
|---|---|---|---|
| @KSI | 8,818,319 | Musician | Music, Rap, Collaboration |
| @jccaylen | 6,291,117 | - | - |
| @barcagameryt | 2,347,799 | Content Creator | Gaming, Esports, Streaming |
| @dedreviil | 2,170,588 | Gamer | Gaming, Esports, Energy Drinks |
| @DisguisedToast | 1,661,865 | Gamer | Gaming, Streaming, Content Creation |
| @soogz1 | 1,559,106 | Twitch Streamer | Twitch, Streamer, Gaming |
| @xQc | 1,552,818 | Streamer | Gaming, Streaming, Luminosity |
| @dakotaz | 1,520,316 | Gamer | Gaming, Energy drinks, Streaming |
| @AlbertsStuff | 1,436,616 | YouTuber | Gaming, Comedy, Entertainment |
| @g0ulaarte | 1,269,080 | Content Creator | YouTube, Twitch, Lives |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,888
Followers With Bio
36,111
Followers Without Bio
64.25%
% With Bio
35.75%
% 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 3,249 analyzed775,739
Combined Engagement
718,726
Total Likes
57,013
Total Retweets
155,148
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
This dude can't be real https://t.co/F1dyTxxNZ9
Streamer has wholesome moment with his mother 😭 https://t.co/JdGzfAHwrI
Logan Paul’s pig was allegedly found abandoned in a field next to another dead pig. It was rescued by a company known as The Gentle Barn… https://t.co/W0kwAHYmWH
These two indie devs have been working for 8 months on a body cam styled horror game being built on Unreal Engine 5 A warning to anyone who is about to watch https://t.co/XKiE59jtDX
French streamer @Superzouloux has done something actually insane. Fulfilling his childhood dream of making a real 3D Yu-Gi-Oh battle possible It took him 7 months to complete and it's incredible https://t.co/ePvtDCtm7q
Key Insights & Takeaways
His content often includes controversial or shocking topics that drive engagement He frequently shares stories with emotional or sensational elements He maintains a presence across multiple platforms and media outlets
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 459,370
- + 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 @JakeSucky reveals an exceptionally influential Twitter presence with 459,370 followers. The account demonstrates a conversation-first approach, averaging 3,744.6 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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