Deborah Meaden 🇺🇦

Deborah Meaden 🇺🇦

@DeborahMeaden

Star of Dragon’s Den co -Host of the big Green Money show..@instagram @deborahmeaden #EverydayEngineering comp https://raeng.org.uk/ned-competition

England https://www.deborahmeaden.com/ Joined 2011-09-05 Date of Analysis: Dec 16, 2025

710,786

Followers

2,766

Following

81,177

Tweets

617.3

Avg Engagement

1,770

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DeborahMeaden'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:2011-09-05
  • Verification:No
  • Location:England

Data Summary

  • Tweets Analyzed:3,235
  • Avg Likes per Tweet:400.2
  • Avg Retweets per Tweet:217.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,235 tweets

Her tweets typically receive an average of 20,000 likes and 2,000 retweets, indicating a highly engaged audience. The high engagement suggests her content resonates well with her followers.

400.2

Avg Likes/Tweet

217.0

Avg Retweets/Tweet

1,294,777

Total Likes

702,111

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

11

Median Likes

6

Median Retweets

202

75th Percentile

57,116

Top Tweet

0.87

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

11.8%

Original

22.3%

Replies

34.1%

Retweets

31.8%

Quotes

0.0%

Threads

0.3%

With Media

41.3%

With Links

15.5%

With #Tags

66.0%

With @Mentions

15.9%

With Emojis

118

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.89

Reply/Original Ratio

0.93

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

78.2%

Weekday Posts

21.8%

Weekend Posts

Top Hashtags

#greenmoneyshow (158) #dragonsden (49) #wildisles (38) #gbbo (21) #standuptocancer (19) #theoneshow (6) #theapprentice (6) #saveourwildisles (5) #whymoneymatters (5) #loveyourweekend (5)

Most Mentioned

@deborahmeaden (416) @bbcdragonsden (120) @bbcsounds (80) @felicityhannah (73) @bbcone (42) @bbctheoneshow (42) @natures_voice (41) @bbc5live (33) @feargal_sharkey (32) @lexyoc (29)

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Content Strategy Analysis

Based on 3,235 tweets

Content Type Distribution

Content Breakdown

Original Tweets 381 (12%)
Replies 720 (22%)
Retweets 1,104 (34%)
Quote Tweets 1,030 (32%)

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 1,104 retweets (34% 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 3,235 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 reality TV, business enthusiasts, and individuals interested in personal finance and engineering. The audience is primarily engaged with her candid and informative content.

Average

Audience Quality

23.1%

Suspicion Index

33.3%

Low-Quality %

34

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

49.1%

Empty Bio

25.6%

<10 Tweets

9.6%

Mass Following (>2K)

0.0%

New (<90 days)

43.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.4%

No URL

17.4%

<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.

61,802,969

Total Potential Reach

34

Median Follower Reach

186

75th Percentile Reach

7.7%

>1K followers

0.8%

>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).

54.4%

Creators

27,206 accounts

20.0%

Consumers

9,979 accounts

25.6%

Dormant

12,815 accounts

444

Verified Followers

0.89% of total

7.7%

Professional Bios

founder, dev, analyst, etc.

0.12

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 (1,070) United Kingdom (914) London (879) England, United Kingdom (706) UK (540) Scotland, United Kingdom (280) Manchester, England (265) Glasgow, Scotland (198) South East, England (195) Scotland (193)

709

Verified Followers

0.7% of total

8,424

Protected Accounts

8.34% of total

6 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 14,105,087 Wrestler Wrestling, Motivation, Self-promotion
@jk_rowling 14,031,716 Writer Writing, Author, Fiction
@KSI 8,817,541 Musician Music, Rap, Collaboration
@DanielSturridge 2,322,563 Footballer Football, Nike, Music
@louistheroux 2,246,401 Documentary Filmmaker Documentaries, Irony, Filmmaking
@gtconway3d 2,197,458 Lawyer Lawyer, Columnist, Corgi
@MariaSTsehai 1,184,658 Communications Expert Communications, Producer, Director
@nationaltrust 954,035 Charity nature, beauty, history
@NOH8Campaign 801,889 Activism equality, bullying, discrimination
@iownjd 778,892 Lawyer learn, inspire, engage

Top Keywords in Follower Bios

views (3,212) love (3,168) life (2,302) music (1,858) lover (1,838) mum (1,521) proud (1,324) world (1,227) retired (1,206) teacher (1,134)

Top Hashtags in Follower Bios

#fbpe (438) #gtto (361) #blm (95) #rejoineu (94) #toriesout (94) #ynwa (63) #nhs (60) #generalelectionnow (59) #lfc (56) #enoughisenough (55)

52,594

Followers With Bio

48,405

Followers Without Bio

52.07%

% With Bio

47.93%

% 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 3,235 analyzed

189,937

Combined Engagement

167,446

Total Likes

22,491

Total Retweets

37,987

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

60%

With Links

Topical Analysis:

Personal Experiences Business Television Social Media Candid Communication

Key Insights & Takeaways

She often shares personal moments, which helps build a connection with her audience. Her tweets reflect a candid and sometimes confrontational tone. She uses her platform to address personal and professional experiences openly.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 710,786
  • + 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 @DeborahMeaden reveals an well-established Twitter presence with 710,786 followers. The account demonstrates a conversation-first approach, averaging 617.3 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