Jackjonestv

Jackjonestv

@jackjonestv

king of the pranks 😎 click the link & follow me on my other platforms 💪🏾❤️

London turn on notifications https://linktr.ee/JACKJONESTV Joined 2013-12-21 Date of Analysis: Dec 16, 2025

85,328

Followers

6,848

Following

10,034

Tweets

1,923.2

Avg Engagement

77

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @jackjonestv'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:2013-12-21
  • Verification:No
  • Location:London turn on notifications

Data Summary

  • Tweets Analyzed:3,208
  • Avg Likes per Tweet:64.0
  • Avg Retweets per Tweet:1,859.2
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,208 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is often shared widely, contributing to his influence.

64.0

Avg Likes/Tweet

1,859.2

Avg Retweets/Tweet

205,459

Total Likes

5,964,186

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

16

Median Likes

2

Median Retweets

87

75th Percentile

559,622

Top Tweet

22.54

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

62.4%

Original

14.5%

Replies

17.8%

Retweets

5.3%

Quotes

0.0%

Threads

0.5%

With Media

60.7%

With Links

6.7%

With #Tags

36.3%

With @Mentions

70.0%

With Emojis

96

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.23

Reply/Original Ratio

0.3

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.9%

Weekday Posts

25.1%

Weekend Posts

Top Hashtags

#thismorning (6) #inabudhabi (6) #phillipschofield (5) #afterlife (5) #ufc249 (5) #london (5) #hollywilloughby (4) #itv (4) #ufc257 (4) #ufc244 (4)

Most Mentioned

@jackjonestv (72) @arsenal (60) @youtube (51) @muftimenk (50) @rickygervais (48) @tyson_fury (40) @elonmusk (34) @jonnybones (34) @ufc (30) @piersmorgan (25)

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 3,208 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,003 (62%)
Replies 465 (14%)
Retweets 570 (18%)
Quote Tweets 170 (5%)

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 570 retweets (18% 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 3,208 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 followers are likely interested in pranks, scandals, and viral content. They are engaged and active on social media, often sharing and reacting to his posts.

Good

Audience Quality

19.9%

Suspicion Index

27.1%

Low-Quality %

100

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.5%

Empty Bio

13.5%

<10 Tweets

16.1%

Mass Following (>2K)

0.0%

New (<90 days)

36.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.2%

No URL

8.7%

<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.

12,300,048

Total Potential Reach

100

Median Follower Reach

305

75th Percentile Reach

8.8%

>1K followers

0.9%

>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).

72.1%

Creators

7,213 accounts

14.4%

Consumers

1,441 accounts

13.5%

Dormant

1,346 accounts

150

Verified Followers

1.5% of total

4.5%

Professional Bios

founder, dev, analyst, etc.

0.15

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 (278) England, United Kingdom (220) United Kingdom (189) London (115) UK (84) Manchester, England (84) England (57) Glasgow, Scotland (56) Ireland (55) Scotland, United Kingdom (45)

150

Verified Followers

1.5% of total

1,312

Protected Accounts

13.12% 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
@TateTheTalisman 1,861,218 Kickboxer Kickboxing, Fatherhood, Business
@SinghLions 1,328,991 Restaurateur Food, Travel, Influencer
@OccupyDemocrats 559,657 Political Activist Progressive, Grassroots, Politics
@THE_THEO_FORD 474,060 - -
@LozzaFox 365,675 Actor Politics, Freedom, Media
@EssexPR 290,576 Pub Owner Nightlife, Pubs, Events
@IL0VEthe80s 274,672 Nostalgia Influencer nostalgia, 80s music, retro fashion
@GoogleExpertUK 262,490 SEO Expert SEO, Cruise, Art
@abbeylinegold 217,365 Entrepreneur Marriage, Dyslexia, Baldness
@HarryPotter_Nox 192,710 - -

Top Keywords in Follower Bios

love (420) life (243) football (194) music (164) proud (163) views (152) family (142) lover (124) dad (117) world (117)

Top Hashtags in Follower Bios

#mufc (23) #ynwa (21) #bitcoin (18) #lfc (17) #coys (11) #music (11) #boxing (10) #arsenal (10) #avfc (9) #gtto (8)

5,452

Followers With Bio

4,548

Followers Without Bio

54.52%

% With Bio

45.48%

% 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 3,208 analyzed

1,284,644

Combined Engagement

0

Total Likes

1,284,644

Total Retweets

256,929

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Pranks Scandals Controversy Viral Content Social Media Influence

Key Insights & Takeaways

He frequently posts about exposing scandals, particularly involving public figures like Phillip Schofield. His content is often provocative and controversial, which drives engagement. He uses multiple platforms to expand his reach and audience interaction.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 85,328
  • + 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 @jackjonestv reveals an exceptionally influential Twitter presence with 85,328 followers. The account demonstrates a content-creator strategy, averaging 1,923.2 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