Danny Higginbotham

Danny Higginbotham

@Higginbotham05

Husband and father to four amazing kids. Manchester born and bred. Moved Stateside now. @tripleamedia @CSETalent

[email protected] https://www.tripleamedia.com/ Joined 2013-07-06 Date of Analysis: Dec 16, 2025

73,988

Followers

915

Following

41,061

Tweets

87.1

Avg Engagement

455

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Higginbotham05'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:2013-07-06
  • Verification:No
  • Location:[email protected]

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:37.6
  • Avg Retweets per Tweet:49.5
  • Followers Analyzed:9,998

Engagement Analysis

Based on 3,244 tweets

His tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The consistent engagement suggests a loyal and active fan base interested in his perspectives.

37.6

Avg Likes/Tweet

49.5

Avg Retweets/Tweet

122,095

Total Likes

160,596

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

10

Median Likes

0

Median Retweets

27

75th Percentile

69,138

Top Tweet

1.18

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

58.2%

Original

30.8%

Replies

5.8%

Retweets

5.2%

Quotes

0.0%

Threads

0.1%

With Media

13.2%

With Links

7.8%

With #Tags

56.0%

With @Mentions

5.7%

With Emojis

119

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.53

Reply/Original Ratio

0.9

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

47.2%

Weekday Posts

52.8%

Weekend Posts

Top Hashtags

#flyeaglesfly (73) #doop (54) #mlsseasonpass (47) #gameday (13) #mls (10) #redoctober (9) #myplmorning (8) #mlscup (8) #ringthebell (7) #thefootballshow (6)

Most Mentioned

@philaunion (290) @higginbotham05 (106) @eagles (101) @nbcsportssoccer (97) @mls (96) @cangyapple (48) @davelenotv (45) @taylortwellman (43) @robbiemustoe (41) @siriusxmfc (39)

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Content Strategy Analysis

Based on 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,889 (58%)
Replies 1,000 (31%)
Retweets 187 (6%)
Quote Tweets 168 (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 187 retweets (6% 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 3,244 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 9,998 followers

His audience primarily consists of Manchester United fans and sports enthusiasts interested in in-depth analysis and discussions. They are likely engaged in conversations about the club's future and player performances.

Good

Audience Quality

20.0%

Suspicion Index

20.9%

Low-Quality %

110

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

33.8%

Empty Bio

12.7%

<10 Tweets

19.7%

Mass Following (>2K)

0.0%

New (<90 days)

40.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.8%

No URL

8.0%

<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.

28,785,887

Total Potential Reach

110

Median Follower Reach

338

75th Percentile Reach

9.6%

>1K followers

1.6%

>10K followers

0.4%

>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).

72.9%

Creators

7,287 accounts

14.5%

Consumers

1,445 accounts

12.7%

Dormant

1,266 accounts

74

Verified Followers

0.74% of total

7.7%

Professional Bios

founder, dev, analyst, etc.

0.14

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):

Philadelphia, PA (175) Manchester, England (134) England, United Kingdom (78) United Kingdom (77) London, England (70) Manchester (67) United States (67) Pennsylvania, USA (51) Philadelphia (47) Stoke-on-Trent, England (44)

74

Verified Followers

0.74% of total

1,135

Protected Accounts

11.35% 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
@JohnCena 14,097,177 Wrestler Wrestling, Motivation, Self-promotion
@GrantWahl 843,254 Sports Journalist Soccer, Newsletter, Sports
@NBCSportsSoccer 644,096 Sports Media Premier League, Soccer, NBCSN
@samuelluckhurst 557,969 Sports journalist Football, Manchester United, Journalism
@MauriceEdu 501,210 Soccer Player Soccer, Dream, Instagram
@FootballManager 446,332 Video Game Developer Football, Gaming, Future
@Moreno 429,943 Influencer Business, Manager, Serious
@nawaf__oga 381,081 Media English Football, Football Organizations, Strategic Communication
@tonycherchi 354,170 Sports Journalist Sports, Character, Gratitude
@Tomapapa 345,607 Sports Anchor Sports, Bilingual, Emmy Winner

Top Keywords in Follower Bios

united (709) football (497) manchester (468) sports (454) mufc (438) soccer (352) love (338) life (253) father (214) husband (209)

Top Hashtags in Follower Bios

#mufc (220) #doop (117) #glazersout (93) #ggmu (40) #ynwa (31) #usmnt (28) #coys (25) #utfr (18) #flyeaglesfly (18) #manutd (15)

6,618

Followers With Bio

3,382

Followers Without Bio

66.18%

% With Bio

33.82%

% 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 3,244 analyzed

136,059

Combined Engagement

7,573

Total Likes

128,486

Total Retweets

27,212

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Manchester United Football Analysis Sports Commentary Club Management Player Performance

Key Insights & Takeaways

He frequently discusses the challenges facing Manchester United, particularly defensively. He highlights the importance of key players like Sancho and their impact on the team's performance. He often critiques the club's management and suggests that the problem lies beyond just the manager.

Strengths

  • + Established follower base of 73,988
  • + 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 @Higginbotham05 reveals an growing Twitter presence with 73,988 followers. The account demonstrates a content-creator strategy, averaging 87.1 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