vincent

vincent

@vincentsimone

Best Professional Dancer ever! TV Star of Strictly Come Dancing. I'm a celebrity get me out, West end Star, and not to forget Rear of the year xxx

https://www.vincentsimone.com/ Joined 2011-11-06 Date of Analysis: Dec 16, 2025

79,580

Followers

677

Following

2,038

Tweets

19.9

Avg Engagement

196

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @vincentsimone'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:2011-11-06
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:2,005
  • Avg Likes per Tweet:11.9
  • Avg Retweets per Tweet:8.0
  • Followers Analyzed:10,000

Engagement Analysis

Based on 2,005 tweets

Their tweets typically receive a high number of likes and retweets, indicating strong audience interaction. They often use hashtags to amplify their reach and connect with like-minded followers.

11.9

Avg Likes/Tweet

8.0

Avg Retweets/Tweet

23,858

Total Likes

15,997

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

4

Median Retweets

14

75th Percentile

1,303

Top Tweet

0.25

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

36.5%

Original

11.7%

Replies

51.0%

Retweets

0.8%

Quotes

0.0%

Threads

2.1%

With Media

50.6%

With Links

28.7%

With #Tags

74.8%

With @Mentions

18.2%

With Emojis

127

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.32

Reply/Original Ratio

0.02

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.0%

Weekday Posts

23.0%

Weekend Posts

Top Hashtags

#strictly (72) #thelasttango (58) #imacelebrity (42) #dance (40) #teamvincent (33) #vfapp (29) #strictlycomedancing (28) #tango (25) #theballroomboys (21) #imaceleb (21)

Most Mentioned

@vincentsimone (832) @flaviacacace (529) @vfdancetildawn (268) @vfvincentflavia (215) @ianwaite (68) @imacelebrity (62) @stheatreco (61) @missdanijharmer (59) @bbcstrictly (38) @vfmidnighttango (35)

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Content Strategy Analysis

Based on 2,005 tweets

Content Type Distribution

Content Breakdown

Original Tweets 731 (36%)
Replies 235 (12%)
Retweets 1,022 (51%)
Quote Tweets 17 (1%)

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 1,022 retweets (51% 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 2,005 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

Their audience includes fans of reality TV, dance enthusiasts, and followers of celebrity culture. They also engage with fans who appreciate behind-the-scenes insights into the entertainment industry.

Average

Audience Quality

29.2%

Suspicion Index

36.0%

Low-Quality %

29

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

53.4%

Empty Bio

27.7%

<10 Tweets

13.0%

Mass Following (>2K)

0.0%

New (<90 days)

66.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.5%

No URL

18.6%

<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.

6,085,922

Total Potential Reach

29

Median Follower Reach

111

75th Percentile Reach

4.0%

>1K followers

0.6%

>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).

47.4%

Creators

4,744 accounts

24.8%

Consumers

2,482 accounts

27.7%

Dormant

2,774 accounts

25

Verified Followers

0.25% of total

4.4%

Professional Bios

founder, dev, analyst, etc.

0.06

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):

England, United Kingdom (217) United Kingdom (159) London, England (126) Scotland, United Kingdom (72) London (66) Wales, United Kingdom (56) UK (52) North West, England (49) South East, England (43) England (42)

25

Verified Followers

0.25% of total

1,355

Protected Accounts

13.55% 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
@SaffronBarker 540,405 YouTuber YouTube, Instagram, Contact
@zammit_marc 385,807 Filmmaker Film, Acting, Producing
@STU_ACTOR 340,331 Actor Acting, British, TV
@kelvin_fletcher 271,049 Actor Racing, Acting, Strictly
@conquerer1 235,849 Entertainer MUSIC, AWARDS, CELEBRITIES
@Marty_GShore 221,913 Reality TV Star Reality TV, Geordie Shore, Entertainment
@mencap_charity 212,792 Charity Support, Learning disability, Carers
@hellomag 190,654 Media celebrity, royal news, magazine
@jess_impiazzi 147,790 Actress Acting, Writing, Charity
@MontanaCWR 126,790 Radio Host Hip Hop, Radio, Global Broadcasting

Top Keywords in Follower Bios

love (704) life (380) mum (328) music (269) family (212) views (185) lover (170) wife (169) live (160) loves (153)

Top Hashtags in Follower Bios

#bekind (9) #nhs (6) #lfc (6) #mufc (4) #blm (4) #gtto (3) #theatre (3) #coys (3) #blacklivesmatter (3) #family (3)

4,665

Followers With Bio

5,335

Followers Without Bio

46.65%

% With Bio

53.35%

% 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 2,005 analyzed

5,403

Combined Engagement

5,112

Total Likes

291

Total Retweets

1,081

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Celebrity Dance Gratitude Entertainment Passion Dedication

Key Insights & Takeaways

They express deep respect and admiration for their peers in the dance industry They highlight the dedication and hard work behind successful TV shows like Strictly Come Dancing They often share personal and emotional moments, which resonate strongly with their audience

Strengths

  • + Established follower base of 79,580
  • + 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 @vincentsimone reveals an growing Twitter presence with 79,580 followers. The account demonstrates a content-creator strategy, averaging 19.9 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.

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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