Kris
call of duty player
26,272
Followers
784
Following
20,058
Tweets
127.5
Avg Engagement
150
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @itsSpart'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:2019-05-12
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:39.4
- Avg Retweets per Tweet:88.1
- Followers Analyzed:26,609
Engagement Analysis
Based on 500 tweetsThe account maintains a consistent level of engagement, with a focus on emotional and personal content that resonates with followers.
39.4
Avg Likes/Tweet
88.1
Avg Retweets/Tweet
19,707
Total Likes
44,030
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
23
75th Percentile
41,928
Top Tweet
4.85
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
12.6%
Original
85.2%
Replies
1.0%
Retweets
1.2%
Quotes
0.0%
Threads
0.0%
With Media
17.4%
With Links
2.0%
With #Tags
87.8%
With @Mentions
9.2%
With Emojis
39
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
6.76
Reply/Original Ratio
1.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.8%
Weekday Posts
26.2%
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 26,609 followersThe audience appears to be fellow gamers and fans of competitive Call of Duty, interested in player experiences and team interactions.
Good
Audience Quality
16.8%
Suspicion Index
21.1%
Low-Quality %
65
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.4%
Empty Bio
12.7%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
42.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.7%
No URL
7.9%
<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.
62,219,314
Total Potential Reach
65
Median Follower Reach
220
75th Percentile Reach
5.9%
>1K followers
1.3%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
70.1%
Creators
18,651 accounts
17.2%
Consumers
4,573 accounts
12.7%
Dormant
3,385 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):
633
Verified Followers
2.38% of total
2,134
Protected Accounts
8.02% 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 | 14,105,676 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Nadeshot | 2,973,858 | Professional Gamer | Gaming, Esports, Entrepreneurship |
| @charlieINTEL | 2,697,885 | Gaming News | Call of Duty, Warzone, Vanguard |
| @scump | 2,271,380 | Professional Gamer | Gaming, eSports, Partner |
| @CouRageJD | 1,941,941 | Gamer | Gaming, Soup, Merch |
| @CODLeague | 1,314,167 | Esports | Gaming, eSports, Competition |
| @Censor | 1,256,005 | Fitness Influencer | Fitness, Gaming, Entrepreneurship |
| @ASTROGaming | 1,179,092 | Gaming | gaming, lifestyle, esports |
| @H3CZ | 1,021,365 | Esports | esports, gaming, fishing |
| @FormaL | 950,998 | Professional Gamer | Call of Duty, Halo, XGames |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
17,453
Followers With Bio
9,156
Followers Without Bio
65.59%
% With Bio
34.41%
% 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 analyzed46,806
Combined Engagement
3,561
Total Likes
43,245
Total Retweets
9,361
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @DjokerNole: 🏆2️⃣2️⃣🙏🏼❤️ https://t.co/EozfCqP66s
any challengers teammates floating around
RT @intelCDL: Two years ago today we lost Maurice Henriquez, also known as @f3rocitys Over his career Fero spent time on Team Kalibar, 100…
https://t.co/LLfomwz1AA
Disappointed in the result of that map 4 but happy I got to be up on the main stage again , no feeling in the world like it . Send some love to @Arcitys , hope everything is alright bro . Time to lock in for the challengers event thx for the support ✌️
Key Insights & Takeaways
The user frequently shares personal feelings and team experiences, which likely drive engagement. They mention specific maps and matches, indicating a deep connection to the game and its competitive scene. The use of verified accounts and direct mentions suggests a community-oriented approach.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 26,272
- + 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 @itsSpart reveals an well-established Twitter presence with 26,272 followers. The account demonstrates a conversation-first approach, averaging 127.5 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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