London Real

London Real

@LondonRealTV

Hosted by @BrianBRose | Transform Yourself

London https://linktr.ee/londonreal Joined 2011-09-24 Date of Analysis: 12月 16, 2025

159,106

Followers

562

Following

63,550

Tweets

1,446.4

Avg Engagement

1,474

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @LondonRealTV'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:2011-09-24
  • Verification:Yes
  • Location:London

Data Summary

  • Tweets Analyzed:500
  • Avg Likes per Tweet:14.2
  • Avg Retweets per Tweet:1,432.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 500 tweets

The account maintains a steady level of engagement with an average of 229 likes and 100 retweets per tweet. Its content is designed to spark discussion, as seen in the inclusion of thought-provoking questions and controversial topics.

14.2

Avg Likes/Tweet

1,432.2

Avg Retweets/Tweet

7,090

Total Likes

716,088

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

2

Median Retweets

27

75th Percentile

341,018

Top Tweet

9.09

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

76.2%

Original

5.6%

Replies

17.8%

Retweets

0.4%

Quotes

0.0%

Threads

0.0%

With Media

82.4%

With Links

67.8%

With #Tags

63.0%

With @Mentions

76.2%

With Emojis

225

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.07

Reply/Original Ratio

0.02

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

80.4%

Weekday Posts

19.6%

Weekend Posts

Top Hashtags

#crypto (77) #bitcoin (64) #defi (58) #davidicke (42) #btc (41) #banned (39) #blockchain (38) #freedomofspeech (36) #digitalfreedomplatform (33) #londonrealarmy (32)

Most Mentioned

@brianbrose (20) @bitboy_crypto (17) @elonmusk (15) @saylor (12) @graham__hancock (12) @bengoertzel (10) @jamesgrickards (10) @robertkennedyjr (8) @therealkiyosaki (7) @londonrealtv (7)

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Content Strategy Analysis

Based on 500 tweets

Content Type Distribution

Content Breakdown

Original Tweets 381 (76%)
Replies 28 (6%)
Retweets 89 (18%)
Quote Tweets 2 (0%)

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 89 retweets (18% 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 500 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 audience is likely interested in investigative journalism, alternative media, and topics like cryptocurrency, AI, and geopolitical issues. They are engaged with content that challenges mainstream narratives and offers exclusive insights.

Average

Audience Quality

20.6%

Suspicion Index

26.3%

Low-Quality %

50

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

41.1%

Empty Bio

18.6%

<10 Tweets

12.7%

Mass Following (>2K)

0.0%

New (<90 days)

40.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

85.3%

No URL

11.6%

<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.

68,397,940

Total Potential Reach

50

Median Follower Reach

232

75th Percentile Reach

8.4%

>1K followers

1.1%

>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).

62.9%

Creators

31,438 accounts

18.5%

Consumers

9,272 accounts

18.6%

Dormant

9,290 accounts

812

Verified Followers

1.62% of total

8.2%

Professional Bios

founder, dev, analyst, etc.

0.14

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 (739) United Kingdom (549) England, United Kingdom (431) United States (418) London (408) UK (293) Earth (200) Canada (187) Australia (186) Los Angeles, CA (154)

2,103

Verified Followers

2.08% of total

9,325

Protected Accounts

9.23% of total

8 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 14,105,681 Wrestler Wrestling, Motivation, Self-promotion
@mallikasherawat 2,844,466 Actor Bollywood, Actor, Brand Ambassador
@ETemelkuran 2,709,967 Author Politics, Literature, Activism
@theRealKiyosaki 2,406,172 Investor Investing, Entrepreneurship, Financial Education
@Karabo_Mokgoko 2,346,855 Digital Entrepreneur Digital Entrepreneur, Trendsetter, Globetrotter
@michellemalkin 2,039,306 Commentator Conservative, Author, Commentator
@6BillionPeople 2,038,022 - -
@zlj517 1,997,339 Spokesman Geopolitics, Diplomacy, Communication
@FINALLEVEL 1,945,194 Rapper Music, Activism, Entertainment
@KameronBennett 1,809,534 DJ Music, DJing, Booking

Top Keywords in Follower Bios

love (3,773) life (3,429) world (2,055) music (1,858) business (1,858) truth (1,843) entrepreneur (1,504) lover (1,466) free (1,392) health (1,277)

Top Hashtags in Follower Bios

#bitcoin (836) #maga (230) #crypto (203) #btc (167) #blockchain (129) #entrepreneur (126) #marketing (111) #ai (111) #xrp (105) #business (102)

67,243

Followers With Bio

33,754

Followers Without Bio

66.58%

% With Bio

33.42%

% 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 500 analyzed

504,267

Combined Engagement

0

Total Likes

504,267

Total Retweets

100,853

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Investigative Journalism Alternative Media Cryptocurrency Ai Ethics Geopolitical Issues Thought Leadership

Key Insights & Takeaways

The account focuses on high-impact, controversial topics such as political corruption and AI ethics. It leverages early access and trailers to build anticipation and drive traffic to external links. The use of verified influencers like SadhguruJV suggests a strategy to attract credibility and expand reach.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 159,106
  • + 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 @LondonRealTV reveals an exceptionally influential Twitter presence with 159,106 followers. The account demonstrates a content-creator strategy, averaging 1,446.4 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: 12月 16, 2025