Ste Howson

Ste Howson

@MrStephenHowson

Presenter - #MUFC, #MMA, Rugby League and more // British Army Veteran 🇬🇧🇮🇶🇦🇫 // @StretfordPaddck & @SPaddockFC Enquiries; [email protected]

Manchester https://www.stephenhowson.com/ Joined 2010-12-18 Date of Analysis: Dec 16, 2025

191,827

Followers

2,815

Following

76,929

Tweets

412.3

Avg Engagement

647

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @MrStephenHowson'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:2010-12-18
  • Verification:No
  • Location:Manchester

Data Summary

  • Tweets Analyzed:3,245
  • Avg Likes per Tweet:300.4
  • Avg Retweets per Tweet:112.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,245 tweets

His tweets consistently receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.

300.4

Avg Likes/Tweet

112.0

Avg Retweets/Tweet

974,700

Total Likes

363,338

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

37

Median Likes

2

Median Retweets

204

75th Percentile

68,679

Top Tweet

2.15

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Commentator

Adds perspective to others content

27.8%

Original

30.2%

Replies

18.1%

Retweets

23.9%

Quotes

0.0%

Threads

0.2%

With Media

54.6%

With Links

10.8%

With #Tags

48.9%

With @Mentions

25.4%

With Emojis

98

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.09

Reply/Original Ratio

1.32

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

69.9%

Weekday Posts

30.1%

Weekend Posts

Top Hashtags

#mufc (253) #upthepaddock (30) #worldcup (15) #qatar2022 (13) #premierleague (6) #fifa23 (6) #england (6) #divbingo (6) #vibewithfive (3) #utp (3)

Most Mentioned

@mrstephenhowson (246) @spaddockfc (129) @rioferdy5 (74) @fiveuk (69) @joelbeya (56) @stretfordpaddck (49) @craniumo (38) @jaymotty (31) @slowreadersclub (20) @mrcaseymmxxi (18)

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Content Strategy Analysis

Based on 3,245 tweets

Content Type Distribution

Content Breakdown

Original Tweets 902 (28%)
Replies 981 (30%)
Retweets 587 (18%)
Quote Tweets 775 (24%)

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 587 retweets (18% 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 3,245 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

His audience includes sports fans, particularly football supporters, and individuals interested in military and veteran stories.

Average

Audience Quality

25.7%

Suspicion Index

30.3%

Low-Quality %

38

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.6%

Empty Bio

25.8%

<10 Tweets

12.2%

Mass Following (>2K)

0.0%

New (<90 days)

56.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

93.4%

No URL

16.0%

<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.

34,146,897

Total Potential Reach

38

Median Follower Reach

150

75th Percentile Reach

3.8%

>1K followers

0.4%

>10K followers

0.1%

>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).

49.3%

Creators

24,665 accounts

24.8%

Consumers

12,412 accounts

25.8%

Dormant

12,923 accounts

162

Verified Followers

0.32% of total

4.8%

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):

Manchester, England (660) Lagos, Nigeria (631) Nigeria (454) London, England (442) Nairobi, Kenya (362) England, United Kingdom (345) United Kingdom (342) Kampala, Uganda (297) Accra, Ghana (228) Manchester (215)

285

Verified Followers

0.28% of total

9,429

Protected Accounts

9.34% of total

5 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
@FabrizioRomano 14,503,756 Journalist Football, Transfers, News
@JohnCena 14,100,333 Wrestler Wrestling, Motivation, Self-promotion
@rioferdy5 11,602,113 Footballer Football, Media, Commercial
@David_Ornstein 1,887,054 Football Correspondent -
@henrywinter 1,356,960 Sports Journalist Football, Sports, Journalism
@SinghLions 1,333,962 Restaurateur Food, Travel, Influencer
@Squawka 1,234,514 Football Analysis football, stats, analysis
@alanshearer 1,055,625 Footballer Football, Analysis, Golf
@LeBronJames 1,000,835 - -
@WhoScored 907,452 Football Statistics Football, Statistics, Data

Top Keywords in Follower Bios

united (7,225) manchester (5,223) mufc (4,303) football (3,763) love (2,588) life (2,071) utd (1,424) sports (1,348) god (1,298) music (1,181)

Top Hashtags in Follower Bios

#mufc (2,119) #glazersout (1,069) #ggmu (542) #manutd (149) #manchesterunited (106) #fpl (76) #freepalestine (64) #utfr (61) #manchester (60) #football (56)

59,180

Followers With Bio

41,818

Followers Without Bio

58.6%

% With Bio

41.4%

% 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 3,245 analyzed

175,378

Combined Engagement

48,504

Total Likes

126,874

Total Retweets

35,076

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

60%

With @Mentions

100%

With Links

Topical Analysis:

Sports Commentary Military Veteran Experience Strong Language And Opinionated Content

Key Insights & Takeaways

He often uses strong, emotive language to engage his audience and convey his opinions. His content frequently includes direct references to specific events or individuals, suggesting a targeted approach. He blends sports commentary with personal experiences, creating a unique and relatable persona.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 191,827
  • + 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 @MrStephenHowson reveals an well-established Twitter presence with 191,827 followers. The account demonstrates a conversation-first approach, averaging 412.3 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