BAILEY MAY
FilBrit 🇵🇭🇬🇧 Singer/Songwriter/Actor/Endorsor| “Reason Why” Out Now ⬇️⬇️
988,138
Followers
2,101
Following
9,287
Tweets
2,173.5
Avg Engagement
354
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @baileymay'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:2015-03-11
- Verification:No
- Location:Worldwide
Data Summary
- Tweets Analyzed:3,233
- Avg Likes per Tweet:1,975.9
- Avg Retweets per Tweet:197.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,233 tweetsBaileymay's tweets receive a high number of likes and retweets on average, indicating strong audience interaction. The content is likely shared widely due to its personal and motivational nature.
1,975.9
Avg Likes/Tweet
197.6
Avg Retweets/Tweet
6,388,032
Total Likes
638,766
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
926
Median Likes
69
Median Retweets
3,030
75th Percentile
62,437
Top Tweet
2.2
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
72.6%
Original
10.3%
Replies
13.0%
Retweets
4.1%
Quotes
0.0%
Threads
0.6%
With Media
48.5%
With Links
27.0%
With #Tags
38.4%
With @Mentions
64.8%
With Emojis
74
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.14
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,233 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 420 retweets (13% 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 3,233 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 followersTheir audience appears to be a mix of fans, fellow artists, and individuals interested in music and entertainment. The content also reaches people interested in social issues and personal development.
Average
Audience Quality
34.7%
Suspicion Index
41.6%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.7%
Empty Bio
59.3%
<10 Tweets
2.2%
Mass Following (>2K)
0.0%
New (<90 days)
76.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
43.5%
<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.
19,175,513
Total Potential Reach
1
Median Follower Reach
9
75th Percentile Reach
1.0%
>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).
19.8%
Creators
9,884 accounts
20.9%
Consumers
10,466 accounts
59.3%
Dormant
29,650 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):
24
Verified Followers
0.02% of total
12,150
Protected Accounts
12.03% 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 |
|---|---|---|---|
| @JohnCena | 14,105,364 | Wrestler | Wrestling, Motivation, Self-promotion |
| @diarrasylla | 530,191 | Singer | Music, Fashion, Activism |
| @robtswthrayguns | 259,535 | Inventor | synthwave, NFT, NSFW |
| @DylanCollins95 | 157,614 | Actor | celebrity, entertainer, actor |
| @t2coleofficia12 | 146,627 | - | - |
| @Jeaworld | 138,381 | Singer | Brown Eyed Girls, singer-songwriter, music |
| @555archie | 133,456 | - | - |
| @SilvioGReal | 110,948 | Influencer | - |
| @alextopdancer | 106,287 | Dancer | Music, Dance, Spain |
| @pvesterbacka | 89,316 | Entrepreneur | Creating gravity, Enabling growth, Building Tunnel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,059
Followers With Bio
36,940
Followers Without Bio
63.43%
% With Bio
36.57%
% 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 3,233 analyzed165,382
Combined Engagement
68,784
Total Likes
96,598
Total Retweets
33,076
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
RT @zaynmalik: .@DisneyMusic .@disneyaladdin .@ZhaviaWard “A Whole New World” Out Now! Film in theatres May 24! https://t.co/c1QC8xkQvE
Congrats to @BTS_twt for winning Best Group at the @vmas @NowUnitedMusic next year 💪🏽😁
RT @vicegandako: Napakasama nung mga nagtaas ng presyo ng face masks sa kasagsagan ng ash fall. Naunawaan ko naman ang Law of Demand and Su…
A real man never hurts a woman. Be a real man and respect women.
Feliz Natal da nossa família pra todas as famílias do mundo!!!
Key Insights & Takeaways
Baileymay's content often includes personal statements and endorsements, which may reflect their brand identity and values. They engage with other artists and public figures, suggesting a network within the entertainment industry. Their tweets also touch on social issues, indicating a broader interest in advocacy and awareness.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 988,138
- + 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 @baileymay reveals an exceptionally influential Twitter presence with 988,138 followers. The account demonstrates a content-creator strategy, averaging 2,173.5 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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