Only Fools and Horses News

Only Fools and Horses News

@onlyfoolsnews

The official twitter account for the Only Fools & Horses appreciation society…. For all the latest show news, official merchandise and event info follow us

Website: www.onlyfools.net https://www.delboysonlineshop.com/ Joined 2012-03-17 Date of Analysis: Dec 16, 2025

54,127

Followers

15,265

Following

6,092

Tweets

210.0

Avg Engagement

45

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @onlyfoolsnews'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:2012-03-17
  • Verification:No
  • Location:Website: www.onlyfools.net

Data Summary

  • Tweets Analyzed:3,234
  • Avg Likes per Tweet:172.8
  • Avg Retweets per Tweet:37.2
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,234 tweets

The account sees consistent engagement with an average of 7,173 likes and 1,074 retweets per tweet, indicating a highly interactive and loyal fan base. The content is well-received, with a mix of news, nostalgia, and promotional material driving interaction.

172.8

Avg Likes/Tweet

37.2

Avg Retweets/Tweet

558,880

Total Likes

120,416

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

34

Median Likes

10

Median Retweets

228

75th Percentile

22,531

Top Tweet

3.88

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

65.7%

Original

7.3%

Replies

25.6%

Retweets

1.3%

Quotes

0.0%

Threads

3.4%

With Media

92.7%

With Links

17.3%

With #Tags

39.8%

With @Mentions

5.4%

With Emojis

124

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.11

Reply/Original Ratio

0.05

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.2%

Weekday Posts

29.8%

Weekend Posts

Top Hashtags

#onlyfoolsandhorses (408) #ofahmusical (52) #ofah (48) #ofcon18 (11) #ofcon2018 (7) #thegreengreengrass (5) #ofcon19 (5) #lovelyjubbly (4) #davidjason (3) #serbia (3)

Most Mentioned

@beingboycie (610) @goldchannel (151) @sueholderness (137) @onlyfoolsnews (124) @ofahmusical (93) @delboy_ofah (62) @onlyfoolshq (25) @tiffer1980 (24) @vasblackwood (19) @fentonstevens (17)

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 3,234 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,126 (66%)
Replies 237 (7%)
Retweets 828 (26%)
Quote Tweets 43 (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 828 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 3,234 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

The primary audience consists of long-time fans and enthusiasts of the Only Fools & Horses series. They are likely aged 30-60 and interested in nostalgia, entertainment, and related merchandise.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

81

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.6%

No URL

100.0%

<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.

7,268,728

Total Potential Reach

81

Median Follower Reach

269

75th Percentile Reach

7.1%

>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).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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 (192) London, England (166) United Kingdom (163) London (86) Manchester, England (56) UK (50) Liverpool, England (50) England (49) South East, England (46) Scotland, United Kingdom (45)

0

Verified Followers

0.0% of total

1,326

Protected Accounts

13.26% 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
@petercrouch 1,080,498 Footballer Football, Podcasts, Banter
@paul_steele 641,938 Travel Blogger Travel, hiking, photography
@nassercricket 318,078 Cricketer Cricket, Arsenal, Sports broadcasting
@BillionMagazine 248,071 Luxury Sales Jets, Yachts, Supercars
@BenDinnery 161,331 Injury Analyst Football, Injury updates, Fantasy sports
@ChrisMattCook 113,646 Actor Acting, Drumming, Collecting
@DarrenDOfficial 112,961 Actor Fatherhood, Acting, Singing
@NeilClark66 108,592 Journalist Politics, Journalism, Broadcasting
@CartlandDavid 104,395 Doctor -
@Adam2Matthews 103,821 Writer Sports, Fitness, Travel

Top Keywords in Follower Bios

love (520) life (292) music (282) football (234) family (188) fc (175) dad (169) proud (158) lover (148) views (140)

Top Hashtags in Follower Bios

#ynwa (27) #coys (21) #lfc (21) #mufc (18) #avfc (11) #nufc (11) #jft97 (11) #glazersout (11) #thfc (9) #coyi (8)

5,508

Followers With Bio

4,492

Followers Without Bio

55.08%

% With Bio

44.92%

% 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 3,234 analyzed

55,092

Combined Engagement

47,028

Total Likes

8,064

Total Retweets

11,018

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Nostalgia Entertainment Fan Engagement Celebrity Updates Merchandise Promotion

Key Insights & Takeaways

The account frequently shares news and updates about the show, keeping fans informed and engaged. It highlights key figures like Sir David Jason, which helps maintain relevance and emotional connection with the audience. The use of media statements and birthday celebrations suggests a strategic approach to maintaining fan interest and community involvement.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 54,127
  • + 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 @onlyfoolsnews reveals an well-established Twitter presence with 54,127 followers. The account demonstrates a content-creator strategy, averaging 210.0 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