RNLI

RNLI

@RNLI

We've been saving lives at sea since 1824. Your support will help us in our mission to save every one.

215,129

Followers

10,483

Following

107,774

Tweets

26.7

Avg Engagement

1,266

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @RNLI'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:2009-03-17
  • Verification:No
  • Location:The UK & Republic of Ireland

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:22.3
  • Avg Retweets per Tweet:4.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

The account has a moderate to high engagement rate with an average of 3,135 likes and 475 retweets per tweet. The content is likely to resonate with followers due to its emotional and heroic nature.

22.3

Avg Likes/Tweet

4.4

Avg Retweets/Tweet

72,460

Total Likes

14,400

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

2

75th Percentile

19,615

Top Tweet

0.12

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

7.5%

Original

90.2%

Replies

0.9%

Retweets

1.4%

Quotes

0.0%

Threads

3.1%

With Media

13.7%

With Links

10.7%

With #Tags

92.7%

With @Mentions

61.3%

With Emojis

90

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

12.07

Reply/Original Ratio

1.55

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

92.2%

Weekday Posts

7.8%

Weekend Posts

Top Hashtags

#rnli (208) #onecrew (29) #lifeboat (16) #internationalwomensday (16) #savinglivesatsea (15) #watersafety (15) #searchandrescue (13) #lifeboats (13) #otd (12) #lifesavingshopping (11)

Most Mentioned

@rnli (22) @rnlinewbrighton (16) @porthcawlrnli (14) @swiss3489 (14) @whitbyrnli (14) @londonmarathon (13) @hmcoastguard (11) @poolelifeboats (11) @towerrnli (11) @penleelifeboat (11)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 243 (7%)
Replies 2,933 (90%)
Retweets 29 (1%)
Quote Tweets 45 (1%)

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 29 retweets (1% 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 3,250 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

The primary audience includes volunteers, supporters, and the general public interested in maritime rescue operations. The content is likely aimed at raising awareness and encouraging donations.

Good

Audience Quality

16.8%

Suspicion Index

18.8%

Low-Quality %

156

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

30.9%

Empty Bio

10.5%

<10 Tweets

19.5%

Mass Following (>2K)

0.0%

New (<90 days)

29.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

82.7%

No URL

6.8%

<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.

94,600,800

Total Potential Reach

156

Median Follower Reach

552

75th Percentile Reach

16.1%

>1K followers

1.5%

>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).

77.4%

Creators

38,694 accounts

12.2%

Consumers

6,076 accounts

10.5%

Dormant

5,230 accounts

194

Verified Followers

0.39% of total

11.4%

Professional Bios

founder, dev, analyst, etc.

0.22

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):

London, England (1,441) London (1,394) United Kingdom (976) England, United Kingdom (797) UK (666) Scotland, United Kingdom (322) Manchester, England (280) Scotland (255) Glasgow, Scotland (250) South East, England (245)

376

Verified Followers

0.37% of total

11,790

Protected Accounts

11.67% 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 14,100,463 Wrestler Wrestling, Motivation, Self-promotion
@stephenfry 12,276,072 - -
@UNICEF 9,328,431 Charity Mental health, conversation, stigma
@GaryLineker 8,927,483 Football Pundit BBC Sport, Walkers, @goalhangerfilms
@BillBailey 3,430,998 Comedian Comedy, Music, Nature
@neilhimself 3,068,238 Author writing, storytelling, imagination
@ProfBrianCox 3,059,429 Physicist Physics, Science Communication, Astronomy
@MarcGasol 1,201,673 Basketball Player Basketball, Sailing, Wine
@E_L_James 1,113,796 Author Romance, Fangirl, EU
@sarajcox 861,806 Radio Host Teatimes, Books, Radio

Top Keywords in Follower Bios

views (6,464) love (3,739) lover (2,641) life (2,510) music (2,487) sheher (2,331) mum (2,190) proud (2,034) teacher (1,609) world (1,541)

Top Hashtags in Follower Bios

#fbpe (1,034) #gtto (574) #rejoineu (269) #blm (246) #fbppr (174) #toriesout (173) #fbpa (153) #nhs (151) #johnsonout (144) #blacklivesmatter (132)

70,647

Followers With Bio

30,352

Followers Without Bio

69.95%

% With Bio

30.05%

% 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 3,250 analyzed

33,835

Combined Engagement

26,935

Total Likes

6,900

Total Retweets

6,767

Avg per Tweet

Key Metrics for Viral Tweets

20%

With Media

60%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Rescue Operations Volunteerism Maritime Safety Gratitude Community Support Emergency Response

Key Insights & Takeaways

The account frequently shares real-life rescue stories, which can drive engagement and emotional connection. It highlights the bravery of volunteers and crew members, reinforcing the importance of their work. The use of hashtags like #RNLI and mentions of specific locations helps in increasing visibility and community interaction.

Strengths

  • + Established follower base of 215,129
  • + 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 @RNLI reveals an growing Twitter presence with 215,129 followers. The account demonstrates a conversation-first approach, averaging 26.7 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