Hannah Ferrier - CEO Ocean Int Training Academy

Hannah Ferrier - CEO Ocean Int Training Academy

@hannahferrier_

OG of #belowdeckmed and now helping people realise their dreams of working on yachts! Podcast Host of Dear Reality You’re Effed

Sydney, New South Wales https://www.oceaninternationaltrainingacademy.com/?r_done=1 Joined 2009-04-21 Date of Analysis: Dec 16, 2025

154,595

Followers

616

Following

18,712

Tweets

212.9

Avg Engagement

226

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @hannahferrier_'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:2009-04-21
  • Verification:No
  • Location:Sydney, New South Wales

Data Summary

  • Tweets Analyzed:3,184
  • Avg Likes per Tweet:204.5
  • Avg Retweets per Tweet:8.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,184 tweets

Hannah's tweets consistently receive high engagement, with an average of 12,231 likes and 284 retweets per post. Her content resonates well with her followers, encouraging interaction and sharing.

204.5

Avg Likes/Tweet

8.4

Avg Retweets/Tweet

650,979

Total Likes

26,778

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

9

Median Likes

0

Median Retweets

70

75th Percentile

17,785

Top Tweet

1.38

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

18.4%

Original

65.5%

Replies

11.3%

Retweets

4.7%

Quotes

0.0%

Threads

0.7%

With Media

26.4%

With Links

19.9%

With #Tags

84.1%

With @Mentions

39.4%

With Emojis

89

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.55

Reply/Original Ratio

0.42

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

87.3%

Weekday Posts

12.7%

Weekend Posts

Top Hashtags

#belowdeckmed (361) #belowdeck (52) #mafs (45) #wwhl (24) #mafsau (17) #rhobh (15) #summerhouse (9) #bravo (8) #belowdecksailing (6) #mafsaustralia (6)

Most Mentioned

@hannahferrier_ (224) @bravotv (181) @captsandyyawn (121) @hannahspodcast (84) @nastiasurmava (64) @realitytvbliss (59) @chronicalycarly (53) @colinmacyotoole (53) @andy (52) @bravowwhl (49)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,184 tweets

Content Type Distribution

Content Breakdown

Original Tweets 587 (18%)
Replies 2,086 (66%)
Retweets 361 (11%)
Quote Tweets 150 (5%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 361 retweets (11% 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 3,184 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 primarily interested in lifestyle, travel, and career opportunities in the maritime industry. They are likely young adults and professionals seeking adventure and unique career paths.

Average

Audience Quality

24.0%

Suspicion Index

33.2%

Low-Quality %

29

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

51.9%

Empty Bio

22.9%

<10 Tweets

7.6%

Mass Following (>2K)

0.0%

New (<90 days)

52.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.8%

No URL

14.5%

<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 Detector

Follower Reach & Influence

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

41,587,340

Total Potential Reach

29

Median Follower Reach

122

75th Percentile Reach

3.9%

>1K followers

0.4%

>10K followers

0.1%

>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).

54.5%

Creators

27,268 accounts

22.6%

Consumers

11,295 accounts

22.9%

Dormant

11,437 accounts

192

Verified Followers

0.38% of total

4.3%

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):

United States (482) London, England (251) London (209) England, United Kingdom (205) United Kingdom (202) California, USA (192) Chicago, IL (158) Florida, USA (156) Australia (139) Canada (137)

318

Verified Followers

0.31% of total

17,478

Protected Accounts

17.31% 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 14,101,234 Wrestler Wrestling, Motivation, Self-promotion
@JoshDevineDrums 3,101,604 Drummer Music, Drumming, One Direction
@SinghLions 1,333,696 Restaurateur Food, Travel, Influencer
@sharon_cuneta12 1,097,727 Actress Family, Travel, God
@xBrooklynBluex 929,143 Pornstar Porn, TV, XFactor
@NOH8Campaign 800,929 Activism equality, bullying, discrimination
@Slightlyycunty 727,414 Content creator Backup, Dropbox, SlightlyCunty
@itzzzmad 632,605 - -
@RealDeniseWelch 556,261 Author Books, Acting, Writing
@AubreyODay 548,418 Singer music, body positivity, remixes

Top Keywords in Follower Bios

love (4,645) life (3,544) mom (3,331) wife (2,451) lover (2,399) family (1,487) mother (1,428) music (1,298) tv (1,243) living (1,226)

Top Hashtags in Follower Bios

#blm (189) #resist (151) #blacklivesmatter (113) #1 (74) #maga (71) #voteblue (53) #bravo (49) #billsmafia (45) #belowdeck (43) #rhobh (42)

46,751

Followers With Bio

54,242

Followers Without Bio

46.29%

% With Bio

53.71%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,184 analyzed

73,983

Combined Engagement

72,499

Total Likes

1,484

Total Retweets

14,797

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

0%

With @Mentions

60%

With Links

Topical Analysis:

Lifestyle Travel Career Development Personal Stories Community Building Podcasting Maritime Industry

Key Insights & Takeaways

Her personal stories and experiences are a major draw for her audience She effectively uses hashtags like #belowdeckmed to build a community and increase visibility Her podcast and content reflect a blend of authenticity and professional guidance

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 154,595
  • + High community engagement through conversations
  • + 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 @hannahferrier_ reveals an well-established Twitter presence with 154,595 followers. The account demonstrates a conversation-first approach, averaging 212.9 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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