Jessica Chancellor💜DAPHNE 💜
Jessica Chancellor ✨Actress✨Writer ✨Comic Nerd✨Streamer✨ @queensgg 👑🎮
26,634
Followers
346
Following
1,520
Tweets
970.9
Avg Engagement
109
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Maid_of_might'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:2016-03-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:132.4
- Avg Retweets per Tweet:838.5
- Followers Analyzed:27,239
Engagement Analysis
Based on 500 tweetsHer tweets typically receive high engagement, with an average of 2,887 likes and 140 retweets, indicating a loyal and interactive fanbase. She frequently shares personal and creative content that resonates with her followers.
132.4
Avg Likes/Tweet
838.5
Avg Retweets/Tweet
66,199
Total Likes
419,242
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
92
75th Percentile
276,213
Top Tweet
36.45
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
41.8%
Original
39.2%
Replies
11.4%
Retweets
7.6%
Quotes
0.0%
Threads
1.2%
With Media
44.4%
With Links
13.0%
With #Tags
60.6%
With @Mentions
63.6%
With Emojis
89
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.94
Reply/Original Ratio
0.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.8%
Weekday Posts
21.2%
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 is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 57 retweets (11% 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 27,239 followersHer audience likely includes fans of action movies, comic book enthusiasts, and gamers. They are drawn to her personality, creativity, and involvement in trending topics.
Average
Audience Quality
33.3%
Suspicion Index
30.2%
Low-Quality %
60
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.1%
Empty Bio
21.5%
<10 Tweets
35.3%
Mass Following (>2K)
0.0%
New (<90 days)
71.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.5%
No URL
14.3%
<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.
20,903,775
Total Potential Reach
60
Median Follower Reach
170
75th Percentile Reach
4.8%
>1K followers
0.8%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
60.0%
Creators
16,346 accounts
18.5%
Consumers
5,035 accounts
21.5%
Dormant
5,858 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):
141
Verified Followers
0.52% of total
5,263
Protected Accounts
19.32% of total
7 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 |
|---|---|---|---|
| @JessicaNigri | 1,494,787 | Cosplayer | Cosplay, Gaming, Modeling |
| @YuzuPyonCosplay | 709,123 | Cosplayer | Cosplay, Model, Japan |
| @Nichameleon | 592,690 | Cosplayer | Cosplay, Dork, CEO |
| @savannah_solo | 553,990 | Content Creator | Star Wars, Podcasting, Onlyfans |
| @nerdist | 472,955 | Entertainment | TV, movies, sci-fi |
| @BJMendelson | 450,926 | - | - |
| @Slasher | 386,325 | Esports Consultant | esports, gaming, internet culture |
| @OfficialNMJ | 376,785 | Cosplayer | Cosplay, Modeling, Art |
| @KQueenTsun | 302,910 | - | - |
| @robtswthrayguns | 259,722 | Inventor | synthwave, NFT, NSFW |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14,684
Followers With Bio
12,555
Followers Without Bio
53.91%
% With Bio
46.09%
% 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 analyzed364,755
Combined Engagement
0
Total Likes
364,755
Total Retweets
72,951
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @VancityReynolds: Hard keeping my mouth sewn shut about this one. ⚔️ https://t.co/OdV7JmAkEu
RT @HamillHimself: https://t.co/ShVutW2Zml
RT @da0316teko: 小さい日々 https://t.co/8ZhYYIluGx
RT @image_origins: https://t.co/aswW2ihGkh
RT @vickisigh: princess yue 🌙❄️ https://t.co/sXXaN2bSZP
Key Insights & Takeaways
She blends personal identity with pop culture, creating a unique brand. Her content often includes visual elements and hashtags, increasing visibility. She leverages trending topics and media to stay relevant and connect with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 26,634
- + Strong original content creation
- + 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 @Maid_of_might reveals an well-established Twitter presence with 26,634 followers. The account demonstrates a content-creator strategy, averaging 970.9 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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