Bailey M.
106,115
Followers
6,227
Following
16,683
Tweets
184.3
Avg Engagement
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @baileymac02'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:2013-03-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,107
- Avg Likes per Tweet:131.9
- Avg Retweets per Tweet:52.3
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,107 tweetsThe account maintains a steady level of engagement, with a focus on likes and retweets. The user's content seems to resonate well with their followers.
131.9
Avg Likes/Tweet
52.3
Avg Retweets/Tweet
409,897
Total Likes
162,630
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
106
Median Likes
33
Median Retweets
285
75th Percentile
14,065
Top Tweet
1.74
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
49.2%
Original
16.1%
Replies
22.2%
Retweets
12.5%
Quotes
0.0%
Threads
0.7%
With Media
45.2%
With Links
16.1%
With #Tags
58.8%
With @Mentions
39.9%
With Emojis
79
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.33
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,107 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 691 retweets (22% 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 3,107 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 music, entertainment, and personal interactions. They engage with content that includes live streams and creative performances.
Average
Audience Quality
27.7%
Suspicion Index
31.3%
Low-Quality %
19
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.8%
Empty Bio
37.5%
<10 Tweets
10.8%
Mass Following (>2K)
0.0%
New (<90 days)
58.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
24.9%
<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.
13,572,077
Total Potential Reach
19
Median Follower Reach
103
75th Percentile Reach
4.2%
>1K followers
0.9%
>10K followers
0.4%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
36.9%
Creators
3,686 accounts
25.6%
Consumers
2,562 accounts
37.5%
Dormant
3,752 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):
23
Verified Followers
0.23% of total
889
Protected Accounts
8.89% 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 |
|---|---|---|---|
| @6BillionPeople | 2,025,929 | - | - |
| @KameronBennett | 1,820,120 | DJ | Music, DJing, Booking |
| @1andOnlyCupcake | 672,458 | - | - |
| @El_Ciudadano | 581,985 | Journalist | Prensa, Libertaria, Denuncia |
| @PopWrapped | 498,614 | Entertainment News | Entertainment, Pop-culture, Fandoms |
| @THE_THEO_FORD | 472,438 | - | - |
| @STU_ACTOR | 341,113 | Actor | Acting, British, TV |
| @JamesKennedyUK | 295,530 | Musician | Music, Records, Book |
| @ItsDLS | 245,628 | Entrepreneur | Entrepreneur, Music, Beats |
| @AyeDren | 236,725 | Media Influencer | media, culture, 2022 |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,224
Followers With Bio
3,776
Followers Without Bio
62.24%
% With Bio
37.76%
% 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 3,107 analyzed23,333
Combined Engagement
1,789
Total Likes
21,544
Total Retweets
4,667
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
60%
With Links
Topical Analysis:
RT @professorgreen: #DangerousDogs is available now on BBC Three: https://t.co/tTeW0uTjuN Please watch and share #ENDBSL 🐶❤️
RT @Shelter: For every tweet with #TweetForShelter @BritishGas will donate £1 to Shelter. So get tweeting and help us raise £25K!
Playing with Fire. https://t.co/Z5ygSs79Ar
RT @JSoLworld: Arghh...today has been nothing but perfect. really happy and honoured to have @Louis_Tomlinson as my mentor man. Bring on six chair challenge. No more tears, lets celebrate living! 💪🏾❤️🕺🏾✨🎉
Come and watch mine and Cara's YouNow!! https://t.co/pkKwrX6Kev
Key Insights & Takeaways
The user frequently shares music-related content, indicating a passion for music and performance. Live streaming invitations suggest an interest in real-time interaction with followers. The account has a relatively small number of verified accounts, which may indicate a more personal or niche following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 106,115
- + 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 @baileymac02 reveals an well-established Twitter presence with 106,115 followers. The account demonstrates a content-creator strategy, averaging 184.3 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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