Jordan Reed

Jordan Reed

@JordanValleys

Jordan Valleys. DJ, Promoter, presenter @unitedstandmufc Content Creator insta:jordanvalleysuk DJ/Appearance/Brands: Email:[email protected]

Uk, Marbella, Dubai Joined 2012-05-22 Date of Analysis: Dec 16, 2025

88,437

Followers

2,792

Following

21,459

Tweets

245.6

Avg Engagement

87

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JordanValleys'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:2012-05-22
  • Verification:No
  • Location:Uk, Marbella, Dubai

Data Summary

  • Tweets Analyzed:3,050
  • Avg Likes per Tweet:36.6
  • Avg Retweets per Tweet:209.0
  • Followers Analyzed:10,999

Engagement Analysis

Based on 3,050 tweets

Jordan Valleys' tweets receive a high average number of likes, indicating strong audience interest. Retweets are relatively low, suggesting a more organic and personal engagement style rather than viral sharing.

36.6

Avg Likes/Tweet

209.0

Avg Retweets/Tweet

111,478

Total Likes

637,499

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

0

Median Retweets

42

75th Percentile

143,809

Top Tweet

2.78

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

29.4%

Original

41.7%

Replies

14.3%

Retweets

14.7%

Quotes

0.0%

Threads

0.0%

With Media

33.0%

With Links

12.4%

With #Tags

66.5%

With @Mentions

36.6%

With Emojis

74

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.42

Reply/Original Ratio

1.03

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

65.9%

Weekday Posts

34.1%

Weekend Posts

Top Hashtags

#mufc (90) #ggmu (40) #united (19) #ufc264 (10) #engden (7) #togetherstronger (6) #kisstory (6) #fpl (5) #ufc (5) #cardiff (5)

Most Mentioned

@unitedstandmufc (204) @markgoldbridge (133) @ryan_marchh (101) @jordanvalleys (98) @thatsfootballtv (67) @djjustcraig (67) @newsunitedstand (67) @mayfairsessions (54) @bethtmufc (51) @jaydalyutd (51)

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 3,050 tweets

Content Type Distribution

Content Breakdown

Original Tweets 897 (29%)
Replies 1,271 (42%)
Retweets 435 (14%)
Quote Tweets 447 (15%)

What This Reveals About Their Strategy

This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.

The 435 retweets (14% 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 3,050 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 10,999 followers

His followers are primarily football fans, especially those supporting Manchester United, and individuals interested in DJing and content creation. The audience is likely young and active, with a strong interest in sports and entertainment.

Average

Audience Quality

26.0%

Suspicion Index

29.8%

Low-Quality %

39

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.3%

Empty Bio

22.7%

<10 Tweets

14.7%

Mass Following (>2K)

0.0%

New (<90 days)

59.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.7%

No URL

15.3%

<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.

21,339,830

Total Potential Reach

39

Median Follower Reach

176

75th Percentile Reach

6.2%

>1K followers

1.1%

>10K followers

0.5%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

55.5%

Creators

6,108 accounts

21.8%

Consumers

2,398 accounts

22.7%

Dormant

2,493 accounts

55

Verified Followers

0.5% of total

4.0%

Professional Bios

founder, dev, analyst, etc.

0.07

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):

United Kingdom (187) England, United Kingdom (148) Wales, United Kingdom (142) London, England (128) Manchester, England (112) Cardiff, Wales (87) Ireland (62) London (52) United States (41) England (36)

55

Verified Followers

0.5% of total

1,188

Protected Accounts

10.8% 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
@6BillionPeople 2,024,722 - -
@UnitedStandMUFC 1,966,110 Fan Channel Manchester United, Global Fanbase, Latest News
@HollyHaganBlyth 1,523,381 Reality TV Star Geordie Shore, Makeup, Booking
@SinghLions 1,330,452 Restaurateur Food, Travel, Influencer
@PFLMMA 1,018,277 MMA Promoter MMA, Playoffs, ESPN
@Leo_Tweets 731,282 Astrologer Zodiac, Humor, Wisdom
@AaronCGShore 730,091 Reality TV Star Family, Summit, Lad
@markgoldbridge 638,992 Presenter Football, Manchester United, Presenter
@EMMAHIXOFFICIAL 440,816 Adult Entertainer Playboy, Twistys, Penthouse
@danhardymma 391,769 MMA Fighter MMA, Reptiles, Philosophy

Top Keywords in Follower Bios

united (715) manchester (496) mufc (402) love (389) football (298) life (266) glazersout (228) music (179) utd (147) follow (129)

Top Hashtags in Follower Bios

#glazersout (223) #mufc (192) #ggmu (36) #manutd (15) #fpl (11) #qatarin (9) #manchesterunited (8) #1 (7) #cr7 (7) #luhg (6)

6,123

Followers With Bio

4,876

Followers Without Bio

55.67%

% With Bio

44.33%

% 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 3,050 analyzed

389,627

Combined Engagement

0

Total Likes

389,627

Total Retweets

77,925

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Football Manchester United Djing Content Creation Fan Engagement

Key Insights & Takeaways

His content is heavily focused on football, particularly Manchester United, and includes fan discussions and predictions. He uses hashtags and mentions to engage with his fanbase and promote his brand. His tweets often reflect a passionate and opinionated stance on football topics, which drives engagement.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 88,437
  • + High community engagement through conversations
  • + 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 @JordanValleys reveals an well-established Twitter presence with 88,437 followers. The account demonstrates a conversation-first approach, averaging 245.6 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