Anna Passey

Anna Passey

@MissPassey

British actress. Represented by @ABA_Agent https://www.amandabeckmanassociates.co.uk/ All views my own.

https://app.spotlight.com/1899-1202-4379 Joined 2012-03-23 Date of Analysis: Dec 16, 2025

157,554

Followers

1,472

Following

15,416

Tweets

417.3

Avg Engagement

108

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @MissPassey'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:2012-03-23
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,188
  • Avg Likes per Tweet:71.6
  • Avg Retweets per Tweet:345.7
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,188 tweets

Her tweets typically receive an average of 1,834 likes and 260 retweets, indicating a strong and active audience. The engagement suggests her content resonates emotionally with her followers.

71.6

Avg Likes/Tweet

345.7

Avg Retweets/Tweet

228,259

Total Likes

1,101,939

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

15

Median Likes

3

Median Retweets

99

75th Percentile

203,607

Top Tweet

2.65

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

34.0%

Original

32.1%

Replies

20.3%

Retweets

13.6%

Quotes

0.0%

Threads

0.3%

With Media

37.1%

With Links

15.4%

With #Tags

69.4%

With @Mentions

38.6%

With Emojis

83

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.94

Reply/Original Ratio

0.67

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

80.1%

Weekday Posts

19.9%

Weekend Posts

Top Hashtags

#hollyoaks (203) #adoptdontshop (13) #soapawards2017 (12) #soapawards (10) #catsoftwitter (9) #brienna (8) #warenna (7) #choosehollyoaks (7) #sienna (6) #rescueme (6)

Most Mentioned

@hollyoaks (390) @misspassey (230) @jamielomas1 (81) @rescuemeanimal (71) @collectiveurban (68) @soapawards (60) @jesslafox (58) @tammiew (55) @duncanlindsay (50) @e4tweets (43)

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Content Strategy Analysis

Based on 3,188 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,084 (34%)
Replies 1,024 (32%)
Retweets 646 (20%)
Quote Tweets 434 (14%)

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 646 retweets (20% 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 3,188 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 includes fans of Hollyoaks and other TV shows, as well as followers interested in celebrity insights and personal stories. They engage with her content through likes and retweets, showing interest in her perspectives.

Average

Audience Quality

25.1%

Suspicion Index

30.4%

Low-Quality %

35

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.5%

Empty Bio

25.2%

<10 Tweets

11.7%

Mass Following (>2K)

0.0%

New (<90 days)

54.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.2%

No URL

15.3%

<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.

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Follower Reach & Influence

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

66,275,586

Total Potential Reach

35

Median Follower Reach

140

75th Percentile Reach

4.5%

>1K followers

0.7%

>10K followers

0.2%

>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).

49.9%

Creators

24,944 accounts

24.9%

Consumers

12,468 accounts

25.2%

Dormant

12,588 accounts

80

Verified Followers

0.16% of total

3.4%

Professional Bios

founder, dev, analyst, etc.

0.09

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 (1,616) United Kingdom (1,355) London, England (684) Manchester, England (474) Scotland, United Kingdom (460) Liverpool, England (441) London (335) Glasgow, Scotland (292) Wales, United Kingdom (286) North West, England (280)

127

Verified Followers

0.13% of total

17,389

Protected Accounts

17.39% 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
@JohnCena 14,100,889 Wrestler Wrestling, Motivation, Self-promotion
@GordonRamsay 7,696,472 Chef Cooking, Food, Restaurants
@TheVampsband 3,669,334 Musicians music, band, tour
@JamesArthur23 2,057,747 Singer Music, Singer, Songwriter
@bmthofficial 1,919,148 Musician Music, Survival, Horror
@thescript 1,847,971 Musician music, band, album
@TheVampsJames 1,541,394 Musician Music, Wildlife, Charity
@ScottGShore 1,431,195 Reality TV Star Reality TV, Techno music, MTV
@sherylunderwood 1,319,441 TV Host Talk show, radio, sorority
@soledadobrien 1,317,829 Journalist working, mom, journalist

Top Keywords in Follower Bios

love (6,713) life (4,448) live (2,202) music (2,075) follow (1,793) family (1,661) mum (1,576) beautiful (1,545) world (1,501) instagram (1,319)

Top Hashtags in Follower Bios

#ynwa (62) #hollyoaks (61) #lfc (54) #mufc (50) #love (42) #family (39) #music (34) #blacklivesmatter (29) #bekind (29) #coys (26)

51,916

Followers With Bio

48,084

Followers Without Bio

51.92%

% With Bio

48.08%

% 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 3,188 analyzed

543,580

Combined Engagement

0

Total Likes

543,580

Total Retweets

108,716

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Acting Tv Shows Fan Interaction Emotional Storytelling Personal Reflection Humor Nostalgia

Key Insights & Takeaways

She often shares personal and emotional reflections on her acting journey and TV roles. Her content highlights her connection with fans and their emotional responses to TV moments. She uses humor and nostalgia to engage her audience and build a sense of community.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 157,554
  • + 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 @MissPassey reveals an well-established Twitter presence with 157,554 followers. The account demonstrates a content-creator strategy, averaging 417.3 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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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