MrSavage
Pro Fortnite Player and Content Creator for @zerozeronation 4x DreamHack winner [email protected]
1,363,032
Followers
908
Following
3,595
Tweets
2,552.0
Avg Engagement
543
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MrSavage'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: Mega Influencer (1M+)
- Account Age:2018-05-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:2,255.5
- Avg Retweets per Tweet:296.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsMrSavage's tweets receive high engagement, with an average of 39,986 likes and 1,678 retweets per post. His content is well-received and widely shared within the gaming community.
2,255.5
Avg Likes/Tweet
296.5
Avg Retweets/Tweet
7,326,019
Total Likes
963,005
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
923
Median Likes
7
Median Retweets
2,808
75th Percentile
806,653
Top Tweet
1.87
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
43.2%
Original
48.9%
Replies
4.5%
Retweets
3.4%
Quotes
0.0%
Threads
0.0%
With Media
37.4%
With Links
2.6%
With #Tags
58.3%
With @Mentions
16.9%
With Emojis
62
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.13
Reply/Original Ratio
0.75
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.6%
Weekday Posts
37.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 146 retweets (4% 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 3,248 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 primarily consists of Fortnite players and esports enthusiasts who follow his gameplay and content. The audience is likely young and interested in competitive gaming and social media trends.
Average
Audience Quality
34.7%
Suspicion Index
45.8%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.6%
Empty Bio
56.9%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
72.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.8%
No URL
39.0%
<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.
16,519,812
Total Potential Reach
3
Median Follower Reach
15
75th Percentile Reach
1.4%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
18.7%
Creators
9,364 accounts
24.4%
Consumers
12,183 accounts
56.9%
Dormant
28,453 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):
284
Verified Followers
0.28% of total
6,143
Protected Accounts
6.14% of total
1 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 |
|---|---|---|---|
| @KEEMSTAR | 2,698,997 | YouTuber | Drama, News, Business |
| @adinross | 2,232,709 | Content Creator | Twitch, YouTube, Business |
| @dakotaz | 1,521,271 | Gamer | Gaming, Energy drinks, Streaming |
| @SinghLions | 1,335,172 | Restaurateur | Food, Travel, Influencer |
| @LeBronJames | 1,003,890 | - | - |
| @VastGG | 824,819 | Marketing | Creators, Gaming, Giveaways |
| @NOH8Campaign | 801,925 | Activism | equality, bullying, discrimination |
| @finalmouse | 283,080 | Gaming | Freethinkers, Support, Gaming |
| @SantaDecides | 270,684 | Author | Krampus, Santa, L |
| @mcky_tv | 263,774 | Content Creator | Gaming, Streaming, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50,925
Followers With Bio
49,075
Followers Without Bio
50.92%
% With Bio
49.08%
% 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 3,248 analyzed1,002,941
Combined Engagement
192,131
Total Likes
810,810
Total Retweets
200,588
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
RT @egg_rt_record: Let's set a world record together and get the most retweeted tweet on Twitter. Beating the current world record held by…
being a fortnite kid is kinda nice https://t.co/PieR3MDq0B
Left @100Thieves
🦧🦧 https://t.co/6QbqOYdpvR
Last one left 🥲 https://t.co/Ttb2ZOqvQm
Key Insights & Takeaways
He maintains a strong connection with his fanbase through consistent and engaging content. His transition from 100Thieves to ZeroZeroNation highlights his evolving career path. His focus on Fortnite and esports aligns with his audience's interests and expectations.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,363,032
- + 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 @MrSavage reveals an exceptionally influential Twitter presence with 1,363,032 followers. The account demonstrates a conversation-first approach, averaging 2,552.0 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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