Laura Tobin.

Laura Tobin.

@Lauratobin1

Meteorologist @gmb #NotAWeatherGirl I love the environment & Climate change, sweets & Bon Jovi Mummy to Charlotte-New Book-Enquiries [email protected]

London https://rb.gy/ztix2b Joined 2009-09-30 Date of Analysis: Dec 16, 2025

208,468

Followers

2,214

Following

33,936

Tweets

223.5

Avg Engagement

415

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Lauratobin1'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:2009-09-30
  • Verification:No
  • Location:London

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:114.6
  • Avg Retweets per Tweet:108.9
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,250 tweets

Her tweets typically receive a decent number of likes and retweets, indicating a loyal and interactive audience. The engagement suggests her content is both informative and shareable.

114.6

Avg Likes/Tweet

108.9

Avg Retweets/Tweet

372,419

Total Likes

353,983

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

42

Median Likes

5

Median Retweets

125

75th Percentile

111,439

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

Commentator

Adds perspective to others content

35.8%

Original

13.6%

Replies

24.4%

Retweets

26.3%

Quotes

0.0%

Threads

1.3%

With Media

70.7%

With Links

30.3%

With #Tags

57.5%

With @Mentions

48.5%

With Emojis

144

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.38

Reply/Original Ratio

1.08

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

87.2%

Weekday Posts

12.8%

Weekend Posts

Top Hashtags

#weather (126) #climatechange (84) #snow (45) #heatwave (31) #stormeunice (29) #everydaywaystosaveourplanet (19) #aurora (18) #cop26 (18) #earthquake (16) #stormdudley (14)

Most Mentioned

@gmb (739) @lauratobin1 (325) @metoffice (208) @wmo (58) @themirrorbooks (52) @intertalent (43) @itv (39) @errongordon (27) @nasa (23) @nickdixonitv (22)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,162 (36%)
Replies 442 (14%)
Retweets 792 (24%)
Quote Tweets 854 (26%)

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 792 retweets (24% 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 followers likely include weather enthusiasts, climate change advocates, and general audiences interested in environmental issues. They may also appreciate her personal touches and family life updates.

Average

Audience Quality

28.2%

Suspicion Index

36.6%

Low-Quality %

29

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

52.6%

Empty Bio

30.3%

<10 Tweets

13.9%

Mass Following (>2K)

0.0%

New (<90 days)

56.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.9%

No URL

20.6%

<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.

49,399,263

Total Potential Reach

29

Median Follower Reach

147

75th Percentile Reach

5.8%

>1K followers

0.7%

>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).

47.3%

Creators

23,641 accounts

22.4%

Consumers

11,189 accounts

30.3%

Dormant

15,170 accounts

191

Verified Followers

0.38% of total

5.3%

Professional Bios

founder, dev, analyst, etc.

0.08

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 (789) England, United Kingdom (763) United Kingdom (745) London (462) UK (319) Manchester, England (239) Scotland, United Kingdom (233) South East, England (189) Wales, United Kingdom (182) North West, England (181)

316

Verified Followers

0.31% of total

12,522

Protected Accounts

12.4% 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 14,099,627 Wrestler Wrestling, Motivation, Self-promotion
@MrPeterAndre 3,088,416 Entertainer Family, Music, Television
@astro_timpeake 1,518,421 Astronaut Soldier, Pilot, Parent
@breakingweather 1,076,018 Meteorologist Weather, Alerts, Updates
@campbellclaret 1,009,383 Writer Writing, Communication, Mental Health
@SarahBrownUK 988,473 Advocate Education, Global Crisis, Podcast
@JenCarfagno 960,016 Meteorologist sunrise, sunset, dew point
@Haqeeqat_TV 886,335 Media Personality Pakistan, YouTube, News
@NHSMillion 795,362 Supporters Gratitude, Support, Campaign
@TanyaTate 754,386 Entertainer Modeling, Acting, Directing

Top Keywords in Follower Bios

love (4,450) life (3,198) views (2,287) music (1,690) family (1,605) mum (1,550) lover (1,477) proud (1,328) live (1,296) football (1,226)

Top Hashtags in Follower Bios

#fbpe (92) #gtto (87) #mufc (85) #ynwa (83) #bekind (68) #lfc (66) #coys (58) #blm (46) #nffc (41) #nufc (38)

48,201

Followers With Bio

52,796

Followers Without Bio

47.73%

% With Bio

52.27%

% 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

165,075

Combined Engagement

0

Total Likes

165,075

Total Retweets

33,015

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

100%

With @Mentions

0%

With Links

Topical Analysis:

Climate Change Environment Meteorology Personal Life Entertainment Family

Key Insights & Takeaways

She frequently shares climate-related forecasts and environmental awareness, highlighting her expertise in the field. Her personal interests, such as sweets and Bon Jovi, add a relatable and human element to her tweets. She occasionally shares significant life events and personal milestones, which can foster a deeper connection with her audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 208,468
  • + 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 @Lauratobin1 reveals an well-established Twitter presence with 208,468 followers. The account demonstrates a content-creator strategy, averaging 223.5 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.

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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