Gemma Styles
(she/her) 💻writer 🍿accidental influencer 🗣 podcasting @goodinfluencegs 🕶 i make sunglasses! 🌻 @MQmentalhealth ambassador ✉️
3,784,820
Followers
860
Following
10,541
Tweets
9,268.0
Avg Engagement
4,416
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GemmaAnneStyles'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: Mega Influencer (1M+)
- Account Age:2010-02-08
- Verification:No
- Location:London
Data Summary
- Tweets Analyzed:3,149
- Avg Likes per Tweet:4,214.1
- Avg Retweets per Tweet:5,054.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,149 tweetsHer tweets receive high engagement, with an average of 169,592 likes and 34,584 retweets, indicating strong audience interaction and interest in her content.
4,214.1
Avg Likes/Tweet
5,054.0
Avg Retweets/Tweet
13,270,152
Total Likes
15,914,901
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
434
Median Likes
303
Median Retweets
6,686
75th Percentile
3,003,644
Top Tweet
2.45
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
27.0%
Original
39.2%
Replies
25.4%
Retweets
8.4%
Quotes
0.0%
Threads
0.6%
With Media
33.9%
With Links
12.5%
With #Tags
68.0%
With @Mentions
19.6%
With Emojis
98
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.45
Reply/Original Ratio
0.33
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.1%
Weekday Posts
18.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,149 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 801 retweets (25% 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 3,149 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 young adults and teenagers interested in fashion, mental health, and pop culture. They are drawn to her relatable personality and engaging content.
Average
Audience Quality
31.3%
Suspicion Index
43.8%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
50.6%
Empty Bio
49.0%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
65.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.4%
No URL
37.1%
<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.
5,323,690
Total Potential Reach
3
Median Follower Reach
17
75th Percentile Reach
1.3%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
28.5%
Creators
14,238 accounts
22.5%
Consumers
11,268 accounts
49.0%
Dormant
24,494 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):
98
Verified Followers
0.1% of total
14,705
Protected Accounts
14.56% of total
2 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 |
|---|---|---|---|
| @bouska | 841,191 | Fashion Photographer | Fashion, Photography, Activism |
| @iownjd | 779,345 | Lawyer | learn, inspire, engage |
| @SleepSkee | 711,582 | Musician | Music, Independent, Artist |
| @ClassicFM | 194,864 | Radio station | Classical music, UK, favorite |
| @TheBodyShopUK | 148,311 | Beauty retailer | beauty, sustainability, self-love |
| @SDGaction | 148,257 | Advocacy | mobilize, inspire, connect |
| @RJSzczerba | 135,990 | Rocket Scientist | Space, Technology, Autism |
| @mike_Iaconelli | 100,669 | Fisherman | Fishing, Host, Bass University |
| @picshs | 92,057 | Fan Account | singer, songwriter, actor |
| @kvnq_rajj | 82,173 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55,689
Followers With Bio
45,310
Followers Without Bio
55.14%
% With Bio
44.86%
% 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 3,149 analyzed5,117,784
Combined Engagement
705,540
Total Likes
4,412,244
Total Retweets
1,023,557
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @carterjwm: HELP ME PLEASE. A MAN NEEDS HIS NUGGS https://t.co/4SrfHmEMo3
RT @RyanSesselman: She’s tough. But she’s worth it https://t.co/iBg7XMQdhL
“GRAMMY AWARD WINNER HARRY STYLES”
RT @Harry_Styles: It's 2017. Be nice. Be good.
If you needed to be any more impressed, I can’t express how heavy this jacket was https://t.co/tdOQCyAJIt
Key Insights & Takeaways
She leverages her platform to promote mental health awareness and support causes she cares about. Her collaborations with high-profile figures like Harry Styles enhance her visibility and credibility. She maintains a personal and authentic tone, which resonates with her followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 3,784,820
- + 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 @GemmaAnneStyles reveals an exceptionally influential Twitter presence with 3,784,820 followers. The account demonstrates a conversation-first approach, averaging 9,268.0 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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