Julia Stuart
Presenter @premierleague Instagram: julia_stuart
61,585
Followers
1,925
Following
32,236
Tweets
1,151.5
Avg Engagement
73
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JuliaStuart_SA'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:2011-03-15
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,207
- Avg Likes per Tweet:25.9
- Avg Retweets per Tweet:1,125.6
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,207 tweetsHer tweets receive a high number of likes and retweets on average, indicating strong audience interaction. She actively engages with followers by responding to mentions and sharing personal experiences.
25.9
Avg Likes/Tweet
1,125.6
Avg Retweets/Tweet
83,057
Total Likes
3,609,954
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
4
Median Retweets
143
75th Percentile
548,497
Top Tweet
18.7
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
12.0%
Original
25.6%
Replies
52.0%
Retweets
10.4%
Quotes
0.0%
Threads
0.3%
With Media
57.0%
With Links
35.6%
With #Tags
87.2%
With @Mentions
55.6%
With Emojis
127
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.13
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.4%
Weekday Posts
31.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,207 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 1,667 retweets (52% 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 3,207 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 10,000 followersHer audience appears to be sports enthusiasts, particularly fans of football and related events. Followers are likely interested in real-time updates and behind-the-scenes content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
112
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.8%
No URL
100.0%
<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.
15,970,081
Total Potential Reach
112
Median Follower Reach
393
75th Percentile Reach
11.1%
>1K followers
1.4%
>10K followers
0.5%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
688
Protected Accounts
6.88% 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 |
|---|---|---|---|
| @Realomosexy | 1,539,546 | Actress | Actress, Singer, Activist |
| @FloydShivambu | 1,407,922 | Politician | Dialectical Materialism, Labour Theory of Value, Revolution |
| @laura_woodsy | 750,750 | Sports Broadcaster | Sports, TV, Radio |
| @KafuiDey | 547,729 | TV Host | Mental Health, Moderator, TV Host |
| @jamessmat | 544,651 | Journalist | journalism, democracy, podcasting |
| @AsieduMends | 411,950 | Influencer | Fashion, Influencing, Happiness |
| @WaruiJohn2 | 320,490 | Sports Pundit | Soccer, F1, Sports |
| @ltarsenal | 312,346 | Sports Journalist | Arsenal, Editor, Writer |
| @NalediMOfficial | 279,005 | YouTuber | YouTube, South Africa, Beauty |
| @KeletsoMss | 278,967 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,569
Followers With Bio
3,431
Followers Without Bio
65.69%
% With Bio
34.31%
% 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 3,207 analyzed960,266
Combined Engagement
0
Total Likes
960,266
Total Retweets
192,053
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @ManUtd: Welcome 𝗵𝗼𝗺𝗲, @Cristiano 🔴 #MUFC | #Ronaldo
RT @shakira: This time for Africa!! 👏🇲🇦 #WorldCup
RT @KMbappe: ACHRAF HAKIMI. 🐧🫶🏽👑
RT @Auba: Hello from the finished player 🔵🔴 💪🏽 https://t.co/MUPmsznoup
RT @FabrizioRomano: Casemiro to Man United, here we go! Real Madrid accepted all details of the bid, clubs preparing contracts right now. €60m fixed fee, €10m add-ons 🚨🔴🇧🇷 #MUFC Casemiro has full agreement on four year deal, option until 2027. Medical and then visa to be sorted
Key Insights & Takeaways
She leverages her platform to promote sports events and teams, which helps in building a loyal fan base. Her use of hashtags and links to Instagram suggests a multi-platform strategy to increase visibility. She maintains a personal and professional tone, which helps in connecting with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 61,585
- + 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 @JuliaStuart_SA reveals an exceptionally influential Twitter presence with 61,585 followers. The account demonstrates a conversation-first approach, averaging 1,151.5 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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