Geoff Norcott

Geoff Norcott

@GeoffNorcott

2023 🎟Live Dates🎟 https://t.co/TcMZ4yY0TD TIK-TOK https://www.tiktok.com/@geoffnorcott PRE-ORDER my NEW BOOK https://www.amazon.co.uk/British-Bloke-Decoded-Everything-explained/dp/1800961294?_encoding=UTF8&qid=1679991425&sr=8-1&linkCode=sl1&tag=octopus-author-21&linkId=2464108a2a284b1ef4a918981464c8da&language=en_GB&ref_=as_li_ss_tl

England, United Kingdom https://geoffnorcott.co.uk/ Joined 2010-05-17 Date of Analysis: Dec 16, 2025

78,918

Followers

1,625

Following

25,865

Tweets

370.2

Avg Engagement

204

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @GeoffNorcott'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:2010-05-17
  • Verification:No
  • Location:England, United Kingdom

Data Summary

  • Tweets Analyzed:3,246
  • Avg Likes per Tweet:143.0
  • Avg Retweets per Tweet:227.2
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,246 tweets

Norcott's tweets receive an average of 15,202 likes and 1,023 retweets, showing a high level of engagement. His content is well-received and often shared within his community.

143.0

Avg Likes/Tweet

227.2

Avg Retweets/Tweet

464,186

Total Likes

737,334

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

12

Median Likes

2

Median Retweets

101

75th Percentile

153,200

Top Tweet

4.69

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

31.5%

Original

25.2%

Replies

25.7%

Retweets

17.6%

Quotes

0.0%

Threads

0.7%

With Media

52.6%

With Links

9.8%

With #Tags

55.3%

With @Mentions

14.0%

With Emojis

130

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.8

Reply/Original Ratio

0.69

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

76.4%

Weekday Posts

23.6%

Weekend Posts

Top Hashtags

#afcwimbledon (16) #backstagewithkatherineryan (16) #liveattheapollo (10) #getinvolved (9) #afcw (8) #latenightmash (8) #budget2022 (7) #bbcournextpm (7) #theoutlaws (6) #whatmostpeoplethink (5)

Most Mentioned

@geoffnorcott (568) @kathbum (43) @timesradio (29) @iaindale (27) @marknelsoncomic (26) @bbcradio4 (26) @afcwimbledon (24) @cjsnowdon (24) @francisjfoster (23) @konstantinkisin (21)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,246 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,022 (31%)
Replies 817 (25%)
Retweets 835 (26%)
Quote Tweets 572 (18%)

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 835 retweets (26% 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 3,246 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

His audience appears to be interested in politics, social commentary, and pop culture. They engage with his content through likes and retweets, indicating a level of interest in his perspective.

Average

Audience Quality

21.7%

Suspicion Index

28.2%

Low-Quality %

70

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

43.7%

Empty Bio

18.5%

<10 Tweets

15.6%

Mass Following (>2K)

0.0%

New (<90 days)

40.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.2%

No URL

12.7%

<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.

Try Bot Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

25,906,267

Total Potential Reach

70

Median Follower Reach

287

75th Percentile Reach

10.3%

>1K followers

1.2%

>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).

64.8%

Creators

6,485 accounts

16.6%

Consumers

1,661 accounts

18.5%

Dormant

1,854 accounts

90

Verified Followers

0.9% of total

7.3%

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 (290) London (247) United Kingdom (208) England, United Kingdom (174) UK (125) England (49) Scotland, United Kingdom (46) Manchester, England (43) South East, England (37) Glasgow, Scotland (35)

90

Verified Followers

0.9% of total

1,003

Protected Accounts

10.03% 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 14,097,162 Wrestler Wrestling, Motivation, Self-promotion
@LeBronJames 941,663 - -
@StephenMerchant 663,750 Comedian comedy, entertainment, podcasting
@DietmarHamann 629,367 Footballer Football, Pundit, Liverpool
@Dannythefink 420,140 Columnist Politics, Family, Writing
@DaveGorman 386,275 Comedian Stand-up comedy, Cryptic crosswords, Television
@zammit_marc 385,733 Filmmaker Film, Acting, Producing
@charliepick 302,775 Comedian Comedy, Hosting, Audible
@GoogleExpertUK 262,789 SEO Expert SEO, Cruise, Art
@JiffyRugby 237,154 Rugby Analyst Rugby, Charity, Recruitment

Top Keywords in Follower Bios

views (338) love (280) life (217) music (156) proud (155) lover (139) world (133) husband (129) time (121) politics (118)

Top Hashtags in Follower Bios

#backboris (21) #fbpe (16) #gtto (16) #lfc (15) #neverlabour (14) #bringbackboris (10) #brexit (10) #lufc (9) #rejoineu (9) #ynwa (7)

5,633

Followers With Bio

4,367

Followers Without Bio

56.33%

% With Bio

43.67%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,246 analyzed

407,526

Combined Engagement

74,608

Total Likes

332,918

Total Retweets

81,505

Avg per Tweet

Key Metrics for Viral Tweets

20%

With Media

0%

With Hashtags

60%

With @Mentions

60%

With Links

Topical Analysis:

Politics Satire Social Commentary Humor Public Figures

Key Insights & Takeaways

His tweets often use humor and satire to critique public figures and events. He frequently references current events and political figures, suggesting a focus on contemporary issues. His content is likely aimed at a politically aware and socially conscious audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 78,918
  • + 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 @GeoffNorcott reveals an well-established Twitter presence with 78,918 followers. The account demonstrates a content-creator strategy, averaging 370.2 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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