Adam Peacock

Adam Peacock

@adampeacock3

📺 Freelance presenter, ✍🏽 contributor @codesportsau 📻 Willow Talk & Footy Talk for @LiSTNRau, Hope NUFC & JIA research

Sydney & Elsewhere https://jafa.org.au/ Joined 2010-07-29 Date of Analysis: Dec 16, 2025

89,755

Followers

2,523

Following

49,706

Tweets

124.0

Avg Engagement

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @adampeacock3'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:2010-07-29
  • Verification:No
  • Location:Sydney & Elsewhere

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:47.0
  • Avg Retweets per Tweet:77.0
  • Followers Analyzed:10,999

Engagement Analysis

Based on 3,248 tweets

His tweets typically receive a high number of likes and some retweets, indicating a strong and active engagement with his content.

47.0

Avg Likes/Tweet

77.0

Avg Retweets/Tweet

152,716

Total Likes

250,197

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

8

Median Likes

0

Median Retweets

37

75th Percentile

72,062

Top Tweet

1.38

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

26.7%

Original

37.6%

Replies

16.6%

Retweets

19.2%

Quotes

0.0%

Threads

0.8%

With Media

58.7%

With Links

10.7%

With #Tags

61.3%

With @Mentions

21.6%

With Emojis

126

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.41

Reply/Original Ratio

1.16

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

69.6%

Weekday Posts

30.4%

Weekend Posts

Top Hashtags

#socceroos (58) #fifaworldcup (53) #qatar2022 (50) #nrl (25) #ausopen (24) #f1 (12) #nufc (10) #fifawwc (8) #worldcup (8) #beijing2022 (8)

Most Mentioned

@codesportsau (410) @adampeacock3 (212) @codefootballau (195) @socceroos (111) @vincerugari (54) @1170sen (50) @davisnick_2 (45) @aleaguemen (43) @codenrl (32) @georgieparker (28)

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Content Strategy Analysis

Based on 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 866 (27%)
Replies 1,221 (38%)
Retweets 538 (17%)
Quote Tweets 623 (19%)

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 538 retweets (17% 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 3,248 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 audience includes sports fans, media enthusiasts, and individuals interested in football and related research topics.

Average

Audience Quality

28.3%

Suspicion Index

29.5%

Low-Quality %

47

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

40.3%

Empty Bio

29.3%

<10 Tweets

22.1%

Mass Following (>2K)

0.0%

New (<90 days)

55.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.6%

No URL

18.7%

<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.

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Follower Reach & Influence

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

27,878,527

Total Potential Reach

47

Median Follower Reach

198

75th Percentile Reach

6.5%

>1K followers

1.1%

>10K followers

0.4%

>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).

47.4%

Creators

5,216 accounts

23.2%

Consumers

2,556 accounts

29.3%

Dormant

3,227 accounts

75

Verified Followers

0.68% of total

7.3%

Professional Bios

founder, dev, analyst, etc.

0.08

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):

Melbourne, Victoria (344) Sydney, New South Wales (262) Australia (251) Adelaide, South Australia (93) Brisbane, Queensland (90) Melbourne (85) Sydney (76) Perth, Western Australia (72) Sydney, Australia (64) Melbourne, Australia (60)

75

Verified Followers

0.68% of total

789

Protected Accounts

7.17% of total

4 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 14,097,090 Wrestler Wrestling, Motivation, Self-promotion
@David_Ornstein 1,903,017 Football Correspondent -
@henrywinter 1,355,115 Sports Journalist Football, Sports, Journalism
@iownjd 771,461 Lawyer learn, inspire, engage
@OccupyDemocrats 553,909 Political Activist Progressive, Grassroots, Politics
@IamMzilikazi 551,037 Musician Pan-African music, Album, Rise
@THE_THEO_FORD 472,927 - -
@zammit_marc 386,337 Filmmaker Film, Acting, Producing
@Tennis 317,336 Sports Commentator Tennis, Baseline, Podcasts
@davenewworld_2 289,351 Reporter Racism, Reporting, Media

Top Keywords in Follower Bios

football (428) sports (368) love (333) life (216) sport (178) fc (155) lover (138) cricket (131) world (127) music (120)

Top Hashtags in Follower Bios

#nft (9) #mufc (8) #bitcoin (8) #lfc (8) #nufc (7) #ynwa (7) #coys (6) #sports (5) #voteno (5) #1 (5)

6,562

Followers With Bio

4,437

Followers Without Bio

59.66%

% With Bio

40.34%

% 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 3,248 analyzed

152,082

Combined Engagement

0

Total Likes

152,082

Total Retweets

30,416

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Sports Commentary Media Engagement Football Analysis Player Performance Podcast Contributions

Key Insights & Takeaways

He often highlights key moments and players in sports events, providing detailed observations. He engages with his audience by mentioning specific players and their performances. He uses a mix of platforms and media to share his content and insights.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 89,755
  • + 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 @adampeacock3 reveals an well-established Twitter presence with 89,755 followers. The account demonstrates a conversation-first approach, averaging 124.0 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.

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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