Pete Sampson

Pete Sampson

@PeteSampson_

Notre Dame beat writer for The Athletic. Co-host of The Independent. Husband, father, DePauw grad, ND Law alum by marriage. This is supposed to be fun. #YNWA

[email protected] https://t.co/NENitXgBX2 Joined 2009-04-07 Date of Analysis: Dec 16, 2025

77,406

Followers

1,729

Following

68,268

Tweets

258.2

Avg Engagement

1,079

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @PeteSampson_'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:2009-04-07
  • Verification:No
  • Location:[email protected]

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:194.2
  • Avg Retweets per Tweet:64.0
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,250 tweets

His tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his content. The consistent engagement suggests a loyal and active follower base that values his perspective and updates.

194.2

Avg Likes/Tweet

64.0

Avg Retweets/Tweet

631,057

Total Likes

207,932

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

74

Median Likes

4

Median Retweets

286

75th Percentile

70,588

Top Tweet

3.34

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

47.5%

Original

22.9%

Replies

14.5%

Retweets

15.1%

Quotes

0.0%

Threads

0.2%

With Media

41.6%

With Links

3.9%

With #Tags

41.5%

With @Mentions

3.4%

With Emojis

154

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.48

Reply/Original Ratio

1.05

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

65.1%

Weekday Posts

34.9%

Weekend Posts

Top Hashtags

#goirish (58) #notredame (5) #lsu (4) #committed (3) #nfldraft (3) #ynwa (3) #usc (3) #1 (2) #2 (2) #ratedrookie (2)

Most Mentioned

@matt_fortuna (105) @ndfootball (59) @theathletic (34) @brucefeldmancfb (32) @ariwasserman (22) @petesampson_ (22) @timomalleynd (22) @marcus_freeman1 (19) @verypiratey (19) @timprister (18)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,545 (48%)
Replies 743 (23%)
Retweets 470 (14%)
Quote Tweets 492 (15%)

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 470 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 3,250 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

His audience primarily consists of Notre Dame football fans and sports enthusiasts who appreciate in-depth analysis and real-time updates. The content also appeals to those interested in sports journalism and behind-the-scenes insights.

Average

Audience Quality

25.0%

Suspicion Index

32.0%

Low-Quality %

49

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

43.5%

Empty Bio

30.3%

<10 Tweets

14.4%

Mass Following (>2K)

0.0%

New (<90 days)

44.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

84.0%

No URL

20.4%

<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.

21,201,344

Total Potential Reach

49

Median Follower Reach

198

75th Percentile Reach

4.8%

>1K followers

0.8%

>10K followers

0.3%

>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).

43.5%

Creators

4,349 accounts

26.2%

Consumers

2,620 accounts

30.3%

Dormant

3,031 accounts

159

Verified Followers

1.59% of total

5.0%

Professional Bios

founder, dev, analyst, etc.

0.12

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 States (106) Chicago, IL (103) South Bend, IN (64) Indiana, USA (47) Indianapolis, IN (42) Los Angeles, CA (37) Cincinnati, OH (35) Florida, USA (30) Houston, TX (27) Dallas, TX (26)

159

Verified Followers

1.59% of total

902

Protected Accounts

9.02% 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 14,096,652 Wrestler Wrestling, Motivation, Self-promotion
@ZachBoychuk 826,934 Hockey Player Hockey, Meme/NFT Trading, Ethereum
@EvanKirstel 348,818 Tech Influencer Tech, B2B, Social media
@evansilva 221,928 Sports Analyst dad, football, fantasy sports
@Schultz_Report 200,416 Sports Analyst Sports, Analysis, Podcasts
@Alex_Flanagan 191,636 Sports Broadcaster Sports, Broadcasting, Parenting
@Ugaman01 163,913 Digital Strategist Digital Strategy, Building Future, Music
@thecoachtube 159,415 Sports coaching sports, coaching, potential
@travisa850 131,575 Cannabis Advocate Cannabis, GreenLove, Travel
@courosa 130,718 Professor education, technology, research

Top Keywords in Follower Bios

gpa (774) high (645) school (624) football (550) class (548) lbs (521) co (465) sports (365) email (253) coach (248)

Top Hashtags in Follower Bios

#goirish (47) #1 (34) #3 (18) #8 (16) #4 (14) #2 (11) #billsmafia (10) #5 (8) #12 (7) #agtg (7)

5,646

Followers With Bio

4,354

Followers Without Bio

56.46%

% With Bio

43.54%

% 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 3,250 analyzed

105,589

Combined Engagement

6,444

Total Likes

99,145

Total Retweets

21,118

Avg per Tweet

Key Metrics for Viral Tweets

20%

With Media

0%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Notre Dame Football Sports Journalism Fan Engagement Humor Analysis Coaching Milestones

Key Insights & Takeaways

PeteSampson_ focuses on significant moments in Notre Dame football, such as historic game performances and coaching milestones. He often highlights key players and coaches, providing context and analysis that resonate with fans. His personal touch and humor make his content more relatable and engaging to a broader audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 77,406
  • + 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 @PeteSampson_ reveals an well-established Twitter presence with 77,406 followers. The account demonstrates a content-creator strategy, averaging 258.2 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