Jake Livermore

Jake Livermore

@29_JL

Footballer for @WBA & @England | @NikeUK Athlete | Media Enquiries @spotlightmg | https://www.facebook.com/unsupportedbrowser

https://www.facebook.com/unsupportedbrowser Joined 2011-08-26 Date of Analysis: Dec 16, 2025

105,507

Followers

394

Following

719

Tweets

65.6

Avg Engagement

590

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @29_JL'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:2011-08-26
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:708
  • Avg Likes per Tweet:40.4
  • Avg Retweets per Tweet:25.3
  • Followers Analyzed:10,000

Engagement Analysis

Based on 708 tweets

The average engagement per tweet is moderate, with a balance of likes and retweets. The content appears to resonate well with the audience, particularly when it includes personal stories and sports highlights.

40.4

Avg Likes/Tweet

25.3

Avg Retweets/Tweet

28,569

Total Likes

17,907

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

2

Median Retweets

34

75th Percentile

3,584

Top Tweet

0.62

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

37.6%

Original

21.5%

Replies

32.8%

Retweets

8.2%

Quotes

0.0%

Threads

0.6%

With Media

42.2%

With Links

31.1%

With #Tags

72.0%

With @Mentions

23.6%

With Emojis

89

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.57

Reply/Original Ratio

0.25

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.4%

Weekday Posts

22.6%

Weekend Posts

Top Hashtags

#coys (13) #wba (12) #utt (12) #hcafc (7) #justsaying (7) #thfc (4) #amg (3) #facup (3) #goodluck (3) #albioninaustria (2)

Most Mentioned

@29_jl (208) @princemotorgrp (23) @lb_brad (16) @knaughts88 (14) @daisyfaulkner (13) @iamdanielj (12) @davidmeyler7 (12) @huddz8 (12) @jjenas8 (10) @dupey14 (10)

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Content Strategy Analysis

Based on 708 tweets

Content Type Distribution

Content Breakdown

Original Tweets 266 (38%)
Replies 152 (21%)
Retweets 232 (33%)
Quote Tweets 58 (8%)

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 232 retweets (33% 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 708 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 audience primarily consists of football fans and Nike UK followers, with an interest in sports, personal achievements, and brand endorsements. They are likely to engage with content that highlights performance, personal life, and brand alignment.

Average

Audience Quality

27.4%

Suspicion Index

25.8%

Low-Quality %

61

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

38.8%

Empty Bio

21.4%

<10 Tweets

24.6%

Mass Following (>2K)

0.0%

New (<90 days)

58.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.1%

No URL

12.8%

<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.

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Follower Reach & Influence

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

13,593,083

Total Potential Reach

61

Median Follower Reach

219

75th Percentile Reach

5.6%

>1K followers

0.8%

>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).

54.4%

Creators

5,443 accounts

24.1%

Consumers

2,415 accounts

21.4%

Dormant

2,142 accounts

21

Verified Followers

0.21% of total

4.5%

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):

England, United Kingdom (172) West Midlands, England (132) United Kingdom (130) London, England (110) Birmingham, England (85) Lagos, Nigeria (79) Hull, England (72) West Bromwich, England (65) Nigeria (50) Accra, Ghana (43)

21

Verified Followers

0.21% of total

954

Protected Accounts

9.54% 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
@Tyson_Fury 2,249,728 Boxer Boxing, Fitness, Motivation
@KameronBennett 1,820,073 DJ Music, DJing, Booking
@KevinandTrevor 695,551 - -
@SpencerOwen 632,319 Football Presenter Football, Esports, Presenter
@primevideosport 509,267 Streaming Service Football, Tennis, Rugby
@wefollowbackd 456,548 Football Blogger Football, News, Sport
@Moreno 430,950 Influencer Business, Manager, Serious
@TheRealKirstyG 428,148 - -
@trippier2 406,088 Footballer Football, Sports, Newcastle United
@MatheusPereira 355,581 Footballer Football, Al Hilal, Portugal

Top Keywords in Follower Bios

football (558) love (318) wba (275) west (231) life (214) sports (201) albion (177) music (160) fc (152) family (123)

Top Hashtags in Follower Bios

#wba (64) #coys (32) #laiout (15) #thfc (13) #ynwa (12) #football (10) #hcafc (7) #lfc (7) #lh44 (6) #coyb (6)

6,122

Followers With Bio

3,878

Followers Without Bio

61.22%

% With Bio

38.78%

% 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.

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Viral Tweets

Top 5 by likes+RTs from 708 analyzed

13,135

Combined Engagement

7,988

Total Likes

5,147

Total Retweets

2,627

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

20%

With @Mentions

100%

With Links

Topical Analysis:

Football Personal Life Brand Endorsements

Key Insights & Takeaways

The account leverages personal stories to connect with the audience, such as sharing memories of playing on familiar turf. Brand partnerships, like Nike UK, are a significant part of the content strategy. Engagement is strongest with a mix of sports highlights and personal moments.

Strengths

  • + Established follower base of 105,507
  • + 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 @29_JL reveals an growing Twitter presence with 105,507 followers. The account demonstrates a content-creator strategy, averaging 65.6 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.

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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