BEAST
PLEASE HELP US TO SAVE AZAYLIA’S LIFE! 💔⬇️
172,008
Followers
4,347
Following
42,939
Tweets
388.2
Avg Engagement
142
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MrAshleyCain'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:2011-04-28
- Verification:No
- Location:Insta: MrAshleyCain
Data Summary
- Tweets Analyzed:3,186
- Avg Likes per Tweet:91.3
- Avg Retweets per Tweet:296.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,186 tweetsThe account maintains a high level of engagement, with an average of 4,569 likes and 1,539 retweets per tweet. The content is emotionally compelling, which likely contributes to the high engagement rates.
91.3
Avg Likes/Tweet
296.9
Avg Retweets/Tweet
290,941
Total Likes
946,004
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
23
Median Likes
2
Median Retweets
105
75th Percentile
218,526
Top Tweet
2.26
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
65.2%
Original
6.7%
Replies
6.0%
Retweets
22.2%
Quotes
0.0%
Threads
0.2%
With Media
63.8%
With Links
14.3%
With #Tags
25.3%
With @Mentions
58.7%
With Emojis
80
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
3.7
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.4%
Weekday Posts
21.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,186 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 191 retweets (6% 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 3,186 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 followersThe audience appears to be empathetic individuals interested in supporting a child's life and justice. They are likely family members, friends, or supporters of Azaylia and the cause.
Average
Audience Quality
27.0%
Suspicion Index
34.8%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
48.9%
Empty Bio
30.2%
<10 Tweets
12.4%
Mass Following (>2K)
0.0%
New (<90 days)
54.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.0%
No URL
20.7%
<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.
75,006,442
Total Potential Reach
39
Median Follower Reach
176
75th Percentile Reach
4.8%
>1K followers
0.8%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
49.3%
Creators
24,636 accounts
20.5%
Consumers
10,239 accounts
30.2%
Dormant
15,125 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):
190
Verified Followers
0.19% of total
18,329
Protected Accounts
18.15% of total
9 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 |
|---|---|---|---|
| @MTV | 17,674,117 | Entertainment | Music, Entertainment, Awards |
| @JohnCena | 14,100,481 | Wrestler | Wrestling, Motivation, Self-promotion |
| @THEBEAT999FM | 2,396,013 | Radio Host | Entertainment, News, Sports |
| @lottietommo | 2,350,151 | - | - |
| @Tyson_Fury | 2,249,813 | Boxer | Boxing, Fitness, Motivation |
| @6BillionPeople | 2,033,381 | - | - |
| @WakaFlocka | 1,855,423 | Gamer | Gaming, Music, Entertainment |
| @CynthiaLIVE | 1,423,985 | Entrepreneur | Personal Branding, Keynote Speaking, Columnist |
| @JaiBrooks1 | 1,384,224 | Artist | artist, Melbourne, Australia |
| @SinghLions | 1,333,880 | Restaurateur | Food, Travel, Influencer |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
51,626
Followers With Bio
49,372
Followers Without Bio
51.12%
% With Bio
48.88%
% 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 3,186 analyzed854,613
Combined Engagement
0
Total Likes
854,613
Total Retweets
170,923
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Spilling_The_T: While humans carry out social distancing, a group of 14 elephants broke into a village in Yunan province, looking for c…
RT @Richie_l0c0: A white man shoots 600 people but you’re mad at the black man who’s sitting peacefully not harming anyone. That’s why he’s…
RT @KimKardashian: The system has failed. It’s heart breaking to see a young girl sex trafficked then when she has the courage to fight bac…
RT @filipeluisrl: 1970: By 2017 we will have flying cars 2017: https://t.co/n2eyPbjLE2
RT @mersmom8: This Shirt Says It All! https://t.co/8OrKgIpbTz
Key Insights & Takeaways
The account is primarily focused on raising awareness and support for Azaylia's life. The content includes emotional appeals and calls to action. The use of hashtags and links suggests an effort to mobilize support and share information.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 172,008
- + 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 @MrAshleyCain reveals an well-established Twitter presence with 172,008 followers. The account demonstrates a content-creator strategy, averaging 388.2 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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