Jaida Essence Hall-arius
Formerly Judith, currently confused! Drag Race 👑 Season 12 and AllStars 7 #lookoverthere
290,859
Followers
2,917
Following
12,661
Tweets
814.0
Avg Engagement
571
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @jaidaehall'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: Macro Influencer (100K+)
- Account Age:2010-12-01
- Verification:No
- Location:Wisconsin, Milwaukee
Data Summary
- Tweets Analyzed:2,815
- Avg Likes per Tweet:370.2
- Avg Retweets per Tweet:443.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,815 tweetsHer tweets receive a high number of likes, indicating strong audience approval. Retweets are also frequent, suggesting her content resonates with her followers.
370.2
Avg Likes/Tweet
443.9
Avg Retweets/Tweet
1,042,009
Total Likes
1,249,520
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
33
Median Likes
2
Median Retweets
294
75th Percentile
76,078
Top Tweet
2.8
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
24.8%
Original
36.9%
Replies
19.5%
Retweets
18.8%
Quotes
0.0%
Threads
0.4%
With Media
41.0%
With Links
4.1%
With #Tags
62.0%
With @Mentions
27.7%
With Emojis
64
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.49
Reply/Original Ratio
0.96
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 2,815 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 549 retweets (20% 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 2,815 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 followersHer audience is primarily fans of Drag Race and reality TV enthusiasts. They engage with her content through likes and retweets, showing interest in her personality and humor.
Average
Audience Quality
22.3%
Suspicion Index
25.4%
Low-Quality %
34
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.4%
Empty Bio
23.9%
<10 Tweets
9.6%
Mass Following (>2K)
0.0%
New (<90 days)
51.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.6%
No URL
16.3%
<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.
44,773,643
Total Potential Reach
34
Median Follower Reach
172
75th Percentile Reach
5.9%
>1K followers
1.1%
>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).
57.1%
Creators
28,557 accounts
19.0%
Consumers
9,505 accounts
23.9%
Dormant
11,938 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):
351
Verified Followers
0.35% of total
17,171
Protected Accounts
17.0% 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 | 14,102,306 | Wrestler | Wrestling, Motivation, Self-promotion |
| @chartdata | 2,016,462 | Music Analyst | music charts, awards, industry news |
| @TheView | 900,842 | Talk show host | Politics, Entertainment, News |
| @WhatsTrending | 890,216 | News Outlet | DAILY, SOCIAL, NEWS |
| @MilesSTEREOS | 861,270 | Musician | Guitarist, Writer, Producer |
| @andrewchristian | 853,163 | Fashion Designer | Fashion, Discounts, Launches |
| @NOH8Campaign | 801,512 | Activism | equality, bullying, discrimination |
| @iownjd | 778,145 | Lawyer | learn, inspire, engage |
| @NasdaqExchange | 758,580 | Finance | Technology, Finance, Innovation |
| @SleepSkee | 710,849 | Musician | Music, Independent, Artist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
69,186
Followers With Bio
31,813
Followers Without Bio
68.5%
% With Bio
31.5%
% 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 2,815 analyzed281,946
Combined Engagement
0
Total Likes
281,946
Total Retweets
56,389
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Drebae_: LMAOOOOO Garfield was in there mixing they shittt https://t.co/x9kL0Yiehq
RT @Beyonce: https://t.co/wgYIRZg465
RT @SpookyGothLoser: since it’s October let’s bring back this classic 😂 https://t.co/gcFiCKlrM2
RT @canneo2103145: Living plant controls a machete through an industrial robot arm https://t.co/jQYzMzoG0W
RT @anthonyyyy_j: SZA, H.E.R, and Ella Mai should do a trio called S.H.E
Key Insights & Takeaways
She uses humor and pop culture references to connect with her audience. Her Twitter activity is focused on Drag Race and entertainment topics. She maintains a playful and engaging tone in her interactions.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 290,859
- + 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 @jaidaehall reveals an well-established Twitter presence with 290,859 followers. The account demonstrates a conversation-first approach, averaging 814.0 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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