AISLEYNE

AISLEYNE

@Aisleyne1

Entrepreneur. Reality star. Actress. Author. Model & Media Personailty. Autobiography: 'Aisleyne Surviving Guns Gangs & Glamour'

London, UK https://www.aisleyne.com/ Joined 2009-04-11 Date of Analysis: Dec 16, 2025

165,235

Followers

856

Following

34,128

Tweets

265.7

Avg Engagement

543

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Aisleyne1'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:2009-04-11
  • Verification:No
  • Location:London, UK

Data Summary

  • Tweets Analyzed:3,224
  • Avg Likes per Tweet:70.4
  • Avg Retweets per Tweet:195.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,224 tweets

Her tweets receive a high number of likes and retweets, indicating strong audience interaction. The use of emojis and links suggests a focus on building personal connections and promoting content.

70.4

Avg Likes/Tweet

195.2

Avg Retweets/Tweet

227,106

Total Likes

629,352

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

10

Median Likes

0

Median Retweets

63

75th Percentile

267,059

Top Tweet

1.61

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

50.1%

Original

40.3%

Replies

3.9%

Retweets

5.7%

Quotes

0.0%

Threads

0.2%

With Media

31.7%

With Links

25.7%

With #Tags

62.5%

With @Mentions

44.7%

With Emojis

91

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.8

Reply/Original Ratio

1.48

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

78.5%

Weekday Posts

21.5%

Weekend Posts

Top Hashtags

#bbuk (178) #imaceleb (37) #loveisland (33) #marriedatfirstsightaustralia (18) #xfactor (16) #brexit (14) #jeremykyle (9) #24hoursinpolicecustody (8) #imacelebrity (8) #harryandmeghannetflix (7)

Most Mentioned

@aisleyne1 (71) @gmb (63) @piersmorgan (61) @gbnews (47) @channel4 (41) @indiawilloughby (36) @mrmarkdolan (34) @boygeorge (31) @thismorning (30) @rylan (27)

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Content Strategy Analysis

Based on 3,224 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,615 (50%)
Replies 1,299 (40%)
Retweets 125 (4%)
Quote Tweets 185 (6%)

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 125 retweets (4% 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 3,224 tweets

Engagement 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 followers

Her audience is likely interested in personal stories, entertainment, and lifestyle content. They engage with her through likes and retweets, showing interest in her personal and professional updates.

Average

Audience Quality

27.5%

Suspicion Index

32.9%

Low-Quality %

58

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

52.2%

Empty Bio

21.8%

<10 Tweets

20.7%

Mass Following (>2K)

0.0%

New (<90 days)

55.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.7%

No URL

13.6%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

83,835,293

Total Potential Reach

58

Median Follower Reach

189

75th Percentile Reach

5.4%

>1K followers

1.0%

>10K followers

0.4%

>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).

56.0%

Creators

28,012 accounts

22.2%

Consumers

11,111 accounts

21.8%

Dormant

10,877 accounts

165

Verified Followers

0.33% of total

3.4%

Professional Bios

founder, dev, analyst, etc.

0.08

Median Follow Ratio

follower/following

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):

England, United Kingdom (1,115) London, England (1,018) United Kingdom (983) London (600) Manchester, England (367) Glasgow, Scotland (282) Liverpool, England (269) Scotland, United Kingdom (253) North West, England (237) Ireland (226)

226

Verified Followers

0.22% of total

20,831

Protected Accounts

20.63% of total

10 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 14,100,888 Wrestler Wrestling, Motivation, Self-promotion
@GordonRamsay 7,696,470 Chef Cooking, Food, Restaurants
@DJPaulyD 3,598,598 DJ Music, DJing, Booking
@MrPeterAndre 3,087,788 Entertainer Family, Music, Television
@ThisisDavina 2,707,732 TV Presenter Fitness, Wellness, TV
@BeatsByAssassin 2,261,399 Multitalented Actor, Director, Rapper
@JamesArthur23 2,057,747 Singer Music, Singer, Songwriter
@BurgerKing 2,037,057 Fast Food Fast Food, Flame-Grilled, Established
@6BillionPeople 2,033,239 - -
@KatiePrice 1,840,893 Influencer YouTube, Subscribe, Channel

Top Keywords in Follower Bios

love (4,961) life (3,898) live (1,934) music (1,490) mum (1,427) family (1,289) beautiful (1,211) world (1,207) follow (1,054) lover (1,035)

Top Hashtags in Follower Bios

#mufc (101) #ynwa (91) #lfc (69) #coys (39) #blacklivesmatter (39) #love (34) #music (33) #1 (30) #bbuk (30) #family (29)

46,537

Followers With Bio

54,454

Followers Without Bio

46.08%

% With Bio

53.92%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,224 analyzed

476,540

Combined Engagement

0

Total Likes

476,540

Total Retweets

95,308

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Personal Storytelling Entertainment Emotional Expression

Key Insights & Takeaways

Her content often includes emotional and personal messages, which resonate with her audience. She uses emojis and links to enhance engagement and promote her online presence. Her tweets reflect a mix of personal and public interactions.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 165,235
  • + 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 @Aisleyne1 reveals an well-established Twitter presence with 165,235 followers. The account demonstrates a content-creator strategy, averaging 265.7 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025