Julia Kelly
230,065
Followers
10,082
Following
12,063
Tweets
1,097.9
Avg Engagement
321
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MissJuliaKelly'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:2012-01-05
- Verification:No
- Location:In a galaxy far far away
Data Summary
- Tweets Analyzed:3,110
- Avg Likes per Tweet:678.0
- Avg Retweets per Tweet:419.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,110 tweetsHer tweets receive a substantial number of likes and retweets, indicating strong audience interaction. The average engagement per tweet highlights consistent audience interest in her content.
678.0
Avg Likes/Tweet
419.9
Avg Retweets/Tweet
2,108,662
Total Likes
1,305,937
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
209
Median Likes
59
Median Retweets
889
75th Percentile
513,269
Top Tweet
4.77
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
60.2%
Original
26.3%
Replies
11.4%
Retweets
2.2%
Quotes
0.0%
Threads
0.1%
With Media
30.0%
With Links
5.3%
With #Tags
41.0%
With @Mentions
25.6%
With Emojis
53
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.44
Reply/Original Ratio
0.19
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.1%
Weekday Posts
24.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,110 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 354 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 3,110 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 likely enjoys humor, pop culture references, and suggestive content. The high number of followers suggests a broad reach, but engagement metrics indicate a more targeted group.
Average
Audience Quality
30.8%
Suspicion Index
36.4%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.3%
Empty Bio
32.7%
<10 Tweets
19.7%
Mass Following (>2K)
0.0%
New (<90 days)
61.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.4%
No URL
23.6%
<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.
40,591,569
Total Potential Reach
40
Median Follower Reach
159
75th Percentile Reach
3.4%
>1K followers
0.5%
>10K followers
0.1%
>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).
49.6%
Creators
24,796 accounts
17.8%
Consumers
8,877 accounts
32.7%
Dormant
16,327 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):
205
Verified Followers
0.2% of total
13,776
Protected Accounts
13.64% 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 |
|---|---|---|---|
| @AustinMahone | 8,847,795 | Singer | music, fashion, travel |
| @thegreatkhalid | 4,887,213 | Singer | Music, Fashion, Travel |
| @AnselElgort | 3,125,599 | Actor | Actor, Music, Travel |
| @JDaIey | 1,230,333 | - | - |
| @AlexWassabi | 1,222,869 | YouTuber | vlogging, comedy, positivity |
| @peta | 1,075,138 | Animal rights | Animal rights, Veganism, Activism |
| @shaunking | 1,021,674 | Activist | Social justice, activism, journalism |
| @JonahMarais | 870,234 | Singer | Music, Travel, Adventure |
| @daisymarquez_ | 843,950 | Influencer | Makeup, Beauty, Fashion |
| @ZachBoychuk | 829,130 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,277
Followers With Bio
57,715
Followers Without Bio
42.85%
% With Bio
57.15%
% 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 3,110 analyzed683,236
Combined Engagement
23,517
Total Likes
659,719
Total Retweets
136,647
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @KamalaHarris: We did it, @JoeBiden. https://t.co/oCgeylsjB4
RT @bex_bambi: being single is all fun and games until you realise it’s a never ending cycle of getting to know someone, they eventually st…
RT @MacMiller: Stop keeping score. Just keep swimming.
RT @MarieMesi: Husband spends 2 years planting thousands of scented flowers for his blind wife to smell & get her out of depression https:/…
roses for the rose city gal https://t.co/VqORkYE7FI
Key Insights & Takeaways
Content with visual elements, such as the 🍑 shaped like Selena, tends to perform well. Suggestive or risqué themes, like 'when he asks for nudes,' generate high engagement. Humor and pop culture references, such as 'roses for the rose city gal,' resonate with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 230,065
- + 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 @MissJuliaKelly reveals an exceptionally influential Twitter presence with 230,065 followers. The account demonstrates a content-creator strategy, averaging 1,097.9 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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