David Roberson
CM @XSEEDGames | ex-pro LoL | [email protected]
67,554
Followers
855
Following
4,389
Tweets
22.0
Avg Engagement
335
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CopLoL_'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:2012-01-01
- Verification:No
- Location:Los Angeles, CA
Data Summary
- Tweets Analyzed:3,190
- Avg Likes per Tweet:18.7
- Avg Retweets per Tweet:3.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,190 tweetsCopLoL_ consistently receives high engagement, with an average of 3,172 likes and 124 retweets per tweet. Their posts often include personal and emotional content that resonates with their followers.
18.7
Avg Likes/Tweet
3.3
Avg Retweets/Tweet
59,741
Total Likes
10,498
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
6
75th Percentile
18,138
Top Tweet
0.33
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
31.2%
Original
58.3%
Replies
10.1%
Retweets
0.3%
Quotes
0.0%
Threads
0.3%
With Media
17.1%
With Links
8.5%
With #Tags
83.1%
With @Mentions
2.9%
With Emojis
54
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.87
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.7%
Weekday Posts
30.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,190 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 322 retweets (10% 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 3,190 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 followersThe audience appears to be a mix of gaming enthusiasts and general followers interested in personal updates and interactions. They are likely fans of XSEED Games and League of Legends.
Average
Audience Quality
26.9%
Suspicion Index
25.7%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.9%
Empty Bio
24.2%
<10 Tweets
12.5%
Mass Following (>2K)
0.0%
New (<90 days)
69.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.4%
No URL
14.5%
<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.
49,218,261
Total Potential Reach
25
Median Follower Reach
110
75th Percentile Reach
5.4%
>1K followers
1.9%
>10K followers
0.9%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
50.8%
Creators
5,075 accounts
25.0%
Consumers
2,501 accounts
24.2%
Dormant
2,424 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):
102
Verified Followers
1.02% of total
1,030
Protected Accounts
10.3% of total
6 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 | 14,093,938 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Valkyrae | 3,075,596 | Streamer | Gaming, Streaming, Content Creation |
| @Nadeshot | 2,956,479 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @Sykkuno | 1,920,325 | Gamer | Gaming, Tech, Energy Drinks |
| @TheRealRyanHiga | 1,785,318 | YouTuber | Comedy, YouTube, Lamps |
| @LilyPichu | 1,755,499 | Content Creator | drawing, piano, streaming |
| @NoahJ456 | 1,206,293 | Content Creator | Gaming, Content Creation, Esports |
| @TinaKitten | 1,199,826 | Streamer | Gaming, Streaming, Friends |
| @milktpapi | 1,184,795 | Entrepreneur | business, email, newt |
| @Smajor1995 | 870,208 | Event Organizer | Minecraft, LGBTQ+, Business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,309
Followers With Bio
3,691
Followers Without Bio
63.09%
% With Bio
36.91%
% 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 3,190 analyzed28,842
Combined Engagement
28,256
Total Likes
586
Total Retweets
5,768
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
National gf day poggy 😊 https://t.co/G3Y0PwM6Zb
A little late on the valentines post but today was fun 🥰 https://t.co/vqtxc2gMX2
@xChocoBars THANK YOU!!! You’re the sweetest, most caring person I know, thanks for the best year so far of my life 🥳 I don’t even mind paying those 30 diamonds/ancient debris for a mending book 😁
MASTERS BABY lets GOOOO https://t.co/GfnFpdxDPx
gg crs academy is 100% in, ppl never come back from a 2-0 deficit #LCS
Key Insights & Takeaways
They frequently express gratitude and appreciation for their supporters, which fosters a loyal community. Their content is personal and emotional, often involving relationships and personal milestones. They engage with their audience through direct interactions and respond to mentions and messages.
Strengths
- + Established follower base of 67,554
- + 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 @CopLoL_ reveals an growing Twitter presence with 67,554 followers. The account demonstrates a conversation-first approach, averaging 22.0 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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