Typhoon Display Pilot

Typhoon Display Pilot

@TyphoonDisplay

Official account of RAF Typhoon Display Pilot - Flt Lt Matthew Brighty- ‘Anarchy 1’ @RAFTyphoonTeam - based at @RAFConingsby which is also home to @RAFBBMF

29 Squadron, RAF Coningsby https://www.gov.uk/coronavirus Joined 2009-05-12 Date of Analysis: Dec 16, 2025

53,247

Followers

338

Following

3,602

Tweets

35.5

Avg Engagement

233

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @TyphoonDisplay'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: Mid-Tier (10K+)
  • Account Age:2009-05-12
  • Verification:No
  • Location:29 Squadron, RAF Coningsby

Data Summary

  • Tweets Analyzed:3,188
  • Avg Likes per Tweet:21.9
  • Avg Retweets per Tweet:13.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,188 tweets

The account maintains a consistent level of engagement with an average of 1,045 likes and 336 retweets per tweet. The content is well-received, with a focus on dynamic and visually striking aviation moments.

21.9

Avg Likes/Tweet

13.6

Avg Retweets/Tweet

69,797

Total Likes

43,315

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

4

Median Retweets

22

75th Percentile

4,507

Top Tweet

0.67

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

13.1%

Original

43.0%

Replies

39.9%

Retweets

3.9%

Quotes

0.0%

Threads

10.4%

With Media

51.6%

With Links

20.7%

With #Tags

94.8%

With @Mentions

28.5%

With Emojis

126

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.27

Reply/Original Ratio

0.1

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

68.9%

Weekday Posts

31.1%

Weekend Posts

Top Hashtags

#bringthenoise (75) #phoontime (73) #phoonfriday (62) #avgeek (56) #raf100 (49) #bringthenoise2016 (49) #typhoon (38) #bringthenoise2018 (34) #raf (25) #bringthenoise2017 (24)

Most Mentioned

@raftyphoonteam (1578) @typhoondisplay (913) @rafcgy (362) @baesystemsair (276) @eurofighter_1 (175) @viv_167 (171) @chartleyphotos (139) @royalairforce (121) @christiaanlowe (103) @airtattoo (91)

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 3,188 tweets

Content Type Distribution

Content Breakdown

Original Tweets 419 (13%)
Replies 1,372 (43%)
Retweets 1,273 (40%)
Quote Tweets 124 (4%)

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 1,273 retweets (40% 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 10,000 followers

The primary audience includes aviation enthusiasts, military personnel, and followers of the RAF. The content appeals to those interested in high-speed flight, aerial performances, and military aviation.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

57

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.2%

No URL

100.0%

<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.

10,210,362

Total Potential Reach

57

Median Follower Reach

219

75th Percentile Reach

7.3%

>1K followers

0.9%

>10K followers

0.3%

>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).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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 Kingdom (218) England, United Kingdom (169) London, England (92) UK (77) London (71) North West, England (49) Manchester, England (37) England (37) Lincoln, England (34) South West, England (33)

0

Verified Followers

0.0% of total

1,450

Protected Accounts

14.5% of total

7 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
@SinghLions 1,325,889 Restaurateur Food, Travel, Influencer
@KevinandTrevor 693,277 - -
@_yavuzatalay 690,728 Journalist Politics, Journalism, White House
@DaveVescio 536,969 Actor Movies, Art, Transformation
@PennyMordaunt 242,262 Politician Royal Navy, Trade, Author
@GREATBritain 229,859 Promotion Travel, Promotion, Culture
@sahaistanbul 195,666 Defense Industry Defense, Aviation, Space
@LaVidaBaseball 148,157 Sports Media Latino culture, baseball, passion
@I_W_M 147,332 Museum History, Conflict, Impact
@AirbusDefence 145,496 Aerospace Military Aircraft, Defence Systems, Aerospace

Top Keywords in Follower Bios

love (371) aviation (362) views (249) life (221) photographer (190) air (168) proud (148) dad (138) military (138) pilot (137)

Top Hashtags in Follower Bios

#avgeek (41) #aviation (17) #1 (7) #ynwa (7) #pilot (5) #lfc (5) #arsenal (5) #whatwedo (5) #ai (5) #photographer (5)

5,876

Followers With Bio

4,124

Followers Without Bio

58.76%

% With Bio

41.24%

% 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 3,188 analyzed

11,768

Combined Engagement

4,825

Total Likes

6,943

Total Retweets

2,354

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Military Aviation Aerial Displays Speed And Agility Raf Aviation Enthusiasts Military Pride

Key Insights & Takeaways

The account emphasizes the speed and agility of the Typhoon jet through dramatic aerial maneuvers. Collaborations with other military and aviation accounts help expand reach and credibility. Content is highly visual and emotionally engaging, focusing on the thrill of flight and military pride.

Strengths

  • + Established follower base of 53,247
  • + 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 @TyphoonDisplay reveals an growing Twitter presence with 53,247 followers. The account demonstrates a conversation-first approach, averaging 35.5 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