Laura Woods

Laura Woods

@laura_woodsy

🏆 SJA Sports Presenter of the Year x 2 🏆 @itvfootball ⚽️ @talkSPORT 🎙@nfluk 🏈 @daznboxing 🥊 https://www.facebook.com/unsupportedbrowser

London Joined 2011-08-08 Date of Analysis: Dec 16, 2025

771,703

Followers

2,538

Following

20,774

Tweets

826.2

Avg Engagement

762

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @laura_woodsy'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:2011-08-08
  • Verification:No
  • Location:London

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:697.9
  • Avg Retweets per Tweet:128.3
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

Her tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is well-received and often shared, suggesting a loyal and active community.

697.9

Avg Likes/Tweet

128.3

Avg Retweets/Tweet

2,268,086

Total Likes

416,930

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

0

Median Retweets

53

75th Percentile

148,446

Top Tweet

1.07

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

5.8%

Original

86.2%

Replies

5.9%

Retweets

2.1%

Quotes

0.0%

Threads

0.8%

With Media

10.2%

With Links

3.4%

With #Tags

94.6%

With @Mentions

55.2%

With Emojis

61

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

14.91

Reply/Original Ratio

0.35

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.1%

Weekday Posts

26.9%

Weekend Posts

Top Hashtags

#taylorserrano (6) #fightcamp (6) #ad (5) #arsenal (4) #lovethedarts (4) #dazn (3) #joshuafranklin (2) #matchroomboxing (2) #sja (2) #afc (2)

Most Mentioned

@talksport (370) @tsbreakfast (230) @itvfootball (118) @laura_woodsy (71) @mrjamieohara1 (70) @daznboxing (69) @matchroomboxing (57) @lionesses (42) @niallharbison (40) @sportsja (38)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 188 (6%)
Replies 2,803 (86%)
Retweets 192 (6%)
Quote Tweets 67 (2%)

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 192 retweets (6% 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

Her audience primarily consists of sports enthusiasts and fans of live events. They are likely interested in real-time updates, entertainment, and sports culture.

Average

Audience Quality

20.7%

Suspicion Index

32.3%

Low-Quality %

49

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

50.4%

Empty Bio

21.8%

<10 Tweets

5.9%

Mass Following (>2K)

0.0%

New (<90 days)

39.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.2%

No URL

14.3%

<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.

42,436,975

Total Potential Reach

49

Median Follower Reach

175

75th Percentile Reach

4.6%

>1K followers

0.5%

>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).

57.7%

Creators

28,828 accounts

20.5%

Consumers

10,257 accounts

21.8%

Dormant

10,915 accounts

381

Verified Followers

0.76% of total

4.7%

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 (1,016) England, United Kingdom (667) London (666) United Kingdom (640) Manchester, England (321) Glasgow, Scotland (231) Liverpool, England (203) Scotland, United Kingdom (199) UK (186) Ireland (166)

758

Verified Followers

0.76% of total

11,692

Protected Accounts

11.69% 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
@JohnCena 14,105,231 Wrestler Wrestling, Motivation, Self-promotion
@piersmorgan 8,456,914 Journalist quotes, media, controversy
@Tobjizzle 2,854,546 YouTuber Gaming, Sidemen, Music
@HowThingsWork_ 1,568,156 Content Creator Tech, AI, Science
@petercrouch 1,080,748 Footballer Football, Podcasts, Banter
@susannareid100 905,793 Presenter News, TV, Charity
@BumbleCricket 586,371 Cricket Commentator cricket, raconteur, bon viveur
@AndyBurnhamGM 580,889 Politician Politics, Manchester, Labour
@biel_m04 577,743 Footballer Football, London, Brazil
@ajtracey 573,797 Musician Music, Grime, Fashion

Top Keywords in Follower Bios

arsenal (3,260) football (3,057) love (2,517) life (1,912) fc (1,730) views (1,506) sports (1,409) music (1,403) united (1,237) dad (1,227)

Top Hashtags in Follower Bios

#mufc (295) #coyg (287) #arsenal (198) #afc (153) #ynwa (151) #glazersout (138) #lfc (128) #nufc (112) #coys (101) #lufc (74)

50,298

Followers With Bio

49,702

Followers Without Bio

50.3%

% With Bio

49.7%

% 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

338,342

Combined Engagement

86,805

Total Likes

251,537

Total Retweets

67,668

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Sports Entertainment Live Events Casual Commentary Audience Engagement

Key Insights & Takeaways

She blends sports news with a casual, entertaining tone that resonates with her audience. Her content often includes a mix of live event updates and lighthearted commentary. She leverages her platform to engage with fans and promote sports and entertainment events.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 771,703
  • + 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 @laura_woodsy reveals an well-established Twitter presence with 771,703 followers. The account demonstrates a conversation-first approach, averaging 826.2 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