Mary
🇧🇭 17/yr silly little streamer Business Inquiries: [email protected]
44,185
Followers
983
Following
5,140
Tweets
222.6
Avg Engagement
46
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MaryValorant'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:2018-08-03
- Verification:No
- Location:Bahrain
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:158.9
- Avg Retweets per Tweet:63.7
- Followers Analyzed:42,848
Engagement Analysis
Based on 3,238 tweetsHer tweets receive an average of 8,796 likes and 198 retweets, indicating high popularity and interaction. Verified accounts make up 0.6% of her followers, suggesting a mix of real and bot accounts.
158.9
Avg Likes/Tweet
63.7
Avg Retweets/Tweet
514,566
Total Likes
206,150
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
44
75th Percentile
180,722
Top Tweet
5.04
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
23.6%
Original
69.0%
Replies
5.7%
Retweets
1.7%
Quotes
0.0%
Threads
0.2%
With Media
22.0%
With Links
2.4%
With #Tags
81.2%
With @Mentions
13.7%
With Emojis
51
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.93
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 183 retweets (6% 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 3,238 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 42,848 followersHer audience is primarily young gamers and fans of her personality-driven content. They engage with her through likes, retweets, and comments on her tweets.
Good
Audience Quality
19.5%
Suspicion Index
22.0%
Low-Quality %
27
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.6%
Empty Bio
16.0%
<10 Tweets
3.9%
Mass Following (>2K)
0.0%
New (<90 days)
54.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.2%
No URL
9.5%
<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.
66,707,293
Total Potential Reach
27
Median Follower Reach
116
75th Percentile Reach
4.8%
>1K followers
1.0%
>10K followers
0.3%
>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).
63.2%
Creators
27,074 accounts
20.8%
Consumers
8,898 accounts
16.0%
Dormant
6,876 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):
248
Verified Followers
0.58% of total
5,057
Protected Accounts
11.8% 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 |
|---|---|---|---|
| @JohnCena | 14,106,763 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,702 | - | - |
| @madisonbeer | 3,221,092 | - | - |
| @Clix | 2,165,343 | Professional Gamer | Fortnite, Gaming, Esports |
| @benjyfishy | 1,872,616 | Professional Gamer | Fortnite, NRGgg, World Cup |
| @G2esports | 1,574,426 | Esports Team | esports, org, G2ARMY |
| @loud_babi | 1,116,251 | - | - |
| @kyedae | 1,065,723 | Content Creator | Gaming, Esports, Content Creation |
| @LogitechG | 882,424 | Tech Company | Gaming, Technology, Innovation |
| @sjokz | 810,485 | Esports Host | esports, Belgium, dolphin impression |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
28,022
Followers With Bio
14,826
Followers Without Bio
65.4%
% With Bio
34.6%
% 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 3,238 analyzed231,166
Combined Engagement
49,367
Total Likes
181,799
Total Retweets
46,233
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
RT @Tiniwana: It’s too clear to not repost https://t.co/2bRNaQmewD
#NewProfilePic 😎 https://t.co/ammQPir4G7
OH MY GOD I CANT BELIEVE IT
2 world champions 🏆@Max33Verstappen https://t.co/jTuIzzHbAj
SUIIIII SO SEXY https://t.co/Dycqn0yxDK
Key Insights & Takeaways
She uses personal and humorous content to connect with her audience. Her gaming achievements, like celebrating Max Verstappen, highlight her passion for the sport. She actively promotes her brand through her Twitter and business inquiries.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 44,185
- + 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 @MaryValorant reveals an well-established Twitter presence with 44,185 followers. The account demonstrates a conversation-first approach, averaging 222.6 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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