JORDAN DAVIES

JORDAN DAVIES

@JordanWeekender

International DJ & ITV’s Weekenders O.G⠀⠀ ⠀⠀⠀⠀⠀⠀ Enquiries - izzy@empiremgmt.co.uk ⠀⠀⠀⠀⠀⠀ ⠀⠀ ⠀⠀ DJ Bookings - George@industryliveagenc.com

Insta - JordanWeekender https://www.djcity.com/records/129115 Joined 2013-01-03 Date of Analysis: Dec 16, 2025

285,551

Followers

2,567

Following

18,727

Tweets

1,534.7

Avg Engagement

102

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JordanWeekender'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:2013-01-03
  • Verification:No
  • Location:Insta - JordanWeekender

Data Summary

  • Tweets Analyzed:3,167
  • Avg Likes per Tweet:60.8
  • Avg Retweets per Tweet:1,473.9
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,167 tweets

JordanWeekender's tweets receive an average of 4,119 likes and 765 retweets, indicating a highly engaged audience. Their content often sparks discussion, especially on sensitive topics.

60.8

Avg Likes/Tweet

1,473.9

Avg Retweets/Tweet

192,435

Total Likes

4,667,842

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

1

Median Retweets

52

75th Percentile

285,791

Top Tweet

5.37

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

42.4%

Original

10.4%

Replies

34.7%

Retweets

12.6%

Quotes

0.0%

Threads

0.3%

With Media

51.0%

With Links

19.8%

With #Tags

59.0%

With @Mentions

61.9%

With Emojis

107

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.24

Reply/Original Ratio

0.36

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

71.2%

Weekday Posts

28.8%

Weekend Posts

Top Hashtags

#ibizaweekender (246) #loveisland (39) #kavosweekender (36) #nowplaying (22) #askweekenderreps (15) #togetherstronger (12) #defectedlondonfstvl (12) #ad (10) #ghostbustours (7) #itv2 (6)

Most Mentioned

@jordanweekender (473) @itv2 (165) @ibizaweekender (116) @defectedrecords (67) @davidweekender (65) @isobelweekender (54) @alfiecridland (52) @kavosweekender (45) @djalfiecridland (44) @tashweekender (35)

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 3,167 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,343 (42%)
Replies 328 (10%)
Retweets 1,098 (35%)
Quote Tweets 398 (13%)

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 1,098 retweets (35% 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 3,167 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

The audience includes music fans, TV show followers, and individuals interested in social commentary. They are likely aged 18-35, with a global reach due to JordanWeekender's international DJ status.

Average

Audience Quality

25.6%

Suspicion Index

35.3%

Low-Quality %

33

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

51.6%

Empty Bio

29.1%

<10 Tweets

8.2%

Mass Following (>2K)

0.0%

New (<90 days)

52.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.3%

No URL

18.9%

<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.

53,400,570

Total Potential Reach

33

Median Follower Reach

136

75th Percentile Reach

3.3%

>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).

47.5%

Creators

23,740 accounts

23.4%

Consumers

11,702 accounts

29.1%

Dormant

14,558 accounts

67

Verified Followers

0.13% of total

2.1%

Professional Bios

founder, dev, analyst, etc.

0.09

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):

England, United Kingdom (1,382) United Kingdom (1,222) London, England (641) Manchester, England (436) Wales, United Kingdom (388) Scotland, United Kingdom (353) Glasgow, Scotland (323) Liverpool, England (315) London (216) North West, England (204)

101

Verified Followers

0.1% of total

17,346

Protected Accounts

17.35% of total

8 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 14,102,330 Wrestler Wrestling, Motivation, Self-promotion
@Lord_Sugar 5,202,426 Entrepreneur business, entrepreneurship, technology
@MTVUK 2,424,875 Entertainment Little Mix, HERSTORY, BRITs
@6BillionPeople 2,035,339 - -
@KatiePrice 1,841,909 Influencer YouTube, Subscribe, Channel
@ScottGShore 1,432,105 Reality TV Star Reality TV, Techno music, MTV
@LILBTHEBASEDGOD 1,248,367 Rapper Music, Writing, Film
@bbuk 1,247,736 Reality TV Star Reality TV, ITV, Apply Now
@BrandiGlanville 817,977 TV Personality Reality TV, Author, Social Media
@JayGardner 801,191 Reality TV Star -

Top Keywords in Follower Bios

love (3,757) life (3,132) music (1,864) live (1,603) snapchat (1,516) instagram (1,416) family (1,090) world (970) beautiful (947) football (909)

Top Hashtags in Follower Bios

#mufc (56) #lfc (42) #ynwa (30) #love (28) #blacklivesmatter (27) #family (24) #coys (22) #1 (22) #music (20) #bekind (20)

47,335

Followers With Bio

52,665

Followers Without Bio

47.34%

% With Bio

52.66%

% 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 3,167 analyzed

1,202,759

Combined Engagement

0

Total Likes

1,202,759

Total Retweets

240,552

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Music Social Issues Personal Storytelling

Key Insights & Takeaways

JordanWeekender frequently shares personal and social commentary, often highlighting real-life events and figures. They engage with followers by encouraging interaction and sharing personal experiences. Their content often addresses sensitive topics, indicating a focus on social awareness and advocacy.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 285,551
  • + 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 @JordanWeekender reveals an exceptionally influential Twitter presence with 285,551 followers. The account demonstrates a content-creator strategy, averaging 1,534.7 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