Eve Myles
I can eat my own weight in curry.
77,079
Followers
610
Following
14,111
Tweets
611.1
Avg Engagement
296
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TeamEveMyles'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:2013-05-21
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,184
- Avg Likes per Tweet:144.0
- Avg Retweets per Tweet:467.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,184 tweetsThe account maintains a consistent level of engagement, with a focus on heartfelt and personal content.
144.0
Avg Likes/Tweet
467.1
Avg Retweets/Tweet
458,627
Total Likes
1,487,217
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
97
75th Percentile
120,051
Top Tweet
7.93
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
13.4%
Original
49.7%
Replies
25.7%
Retweets
11.2%
Quotes
0.0%
Threads
0.7%
With Media
38.7%
With Links
14.4%
With #Tags
78.5%
With @Mentions
52.6%
With Emojis
93
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.71
Reply/Original Ratio
0.44
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.2%
Weekday Posts
29.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,184 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 817 retweets (26% 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 3,184 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 followersThe audience appears to be interested in personal milestones, emotional updates, and supportive interactions.
Average
Audience Quality
20.8%
Suspicion Index
24.4%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.5%
Empty Bio
16.3%
<10 Tweets
15.3%
Mass Following (>2K)
0.0%
New (<90 days)
43.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.2%
No URL
10.3%
<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.
9,470,718
Total Potential Reach
66
Median Follower Reach
244
75th Percentile Reach
7.2%
>1K followers
0.7%
>10K followers
0.2%
>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).
65.8%
Creators
6,576 accounts
17.9%
Consumers
1,795 accounts
16.3%
Dormant
1,629 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):
48
Verified Followers
0.48% of total
1,170
Protected Accounts
11.7% 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 |
|---|---|---|---|
| @bbcthree | 739,076 | Media | TV, entertainment, humor |
| @KevinandTrevor | 694,743 | - | - |
| @jessphillips | 639,614 | Politician | politics, Birmingham, Labour |
| @THE_THEO_FORD | 474,219 | - | - |
| @Havenlust | 294,433 | Photographer | Photography, Travel, Art |
| @mcspocky | 291,720 | - | - |
| @JulianMarley | 271,583 | Musician | Reggae, Music, Family |
| @mouthwaite | 270,649 | Actress | Acting, Voice overs, Instagram |
| @NicoMirallegro | 193,612 | Actor | acting, music, fitness |
| @SydesJokes | 193,190 | Jokester | #FBPE, #FBPPR, #FBR |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,149
Followers With Bio
3,851
Followers Without Bio
61.49%
% With Bio
38.51%
% 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 3,184 analyzed361,596
Combined Engagement
0
Total Likes
361,596
Total Retweets
72,319
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @MojoCrowe: It's the simple things that can make one's day! ☺️ https://t.co/xsBx1dPUiq
RT @JoeBiden: Now that President Trump is busy tweeting campaign messages, I would ask him to do this: Listen to the scientists. Support masks. Support mask mandates nationwide.
RT @JoeBiden: Stay in line, folks.
RT @RexChapman: Before getting off the bus, this little girl told the bus driver that “Shake It Off” was her favorite song. He stopped everything he was doing, parked the bus, turned up the song, and jammed with her...💪🌎🎶❤️ https://t.co/VgUXdKURS0
RT @MayorBowser: The section of 16th street in front of the White House is now officially “Black Lives Matter Plaza”. https://t.co/bbJgAYE35b
Key Insights & Takeaways
The user frequently shares personal milestones and emotional updates, indicating a focus on personal storytelling. The content often includes gratitude and emotional expressions, suggesting a desire for connection and support. The use of hashtags and emojis indicates an effort to engage and create a sense of community.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 77,079
- + 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 @TeamEveMyles reveals an well-established Twitter presence with 77,079 followers. The account demonstrates a conversation-first approach, averaging 611.1 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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