Thomas Schnauz

Thomas Schnauz

@TomSchnauz

Writer: Better Call Saul. Breaking Bad. X-Files. The Lone Gunmen. Reaper. Night Stalker. Man in the High Castle. Next up: Gen V, Season 2.

https://www.imdb.com/name/nm1041475/?ref_=nv_sr_1 Joined 2013-09-07 Date of Analysis: Dec 16, 2025

66,541

Followers

418

Following

12,845

Tweets

293.7

Avg Engagement

414

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @TomSchnauz'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:2013-09-07
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:119.5
  • Avg Retweets per Tweet:174.2
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,248 tweets

His tweets receive a high average number of likes and retweets, indicating strong audience interaction. The engagement patterns suggest a loyal and responsive fan base.

119.5

Avg Likes/Tweet

174.2

Avg Retweets/Tweet

388,138

Total Likes

565,781

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

18

Median Likes

0

Median Retweets

55

75th Percentile

95,322

Top Tweet

4.41

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

9.0%

Original

71.4%

Replies

10.0%

Retweets

9.6%

Quotes

0.0%

Threads

1.0%

With Media

28.3%

With Links

14.1%

With #Tags

60.8%

With @Mentions

1.0%

With Emojis

99

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

7.97

Reply/Original Ratio

0.96

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.8%

Weekday Posts

25.2%

Weekend Posts

Top Hashtags

#bettercallsaul (292) #breakingbad (48) #insidethegilliverse (18) #gilliverse (11) #cardtopage (11) #emmys (10) #fyc (8) #writersstrike (7) #fantasyfootball (6) #vincegilligan (5)

Most Mentioned

@bettercallsaul (154) @petergould (105) @kristyncarey (102) @tftalbott (101) @tomschnauz (87) @mgnchannel (83) @rheaseehorn (81) @mrbobodenkirk (41) @breakingbad (36) @amorteamore (31)

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Content Strategy Analysis

Based on 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 291 (9%)
Replies 2,319 (71%)
Retweets 325 (10%)
Quote Tweets 313 (10%)

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 325 retweets (10% 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 10,000 followers

His audience primarily consists of fans of his TV shows and fellow writers interested in behind-the-scenes content. The engagement suggests a dedicated and active community of followers.

Average

Audience Quality

22.1%

Suspicion Index

21.4%

Low-Quality %

50

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

32.6%

Empty Bio

16.2%

<10 Tweets

14.8%

Mass Following (>2K)

0.0%

New (<90 days)

54.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

83.0%

No URL

10.2%

<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.

21,870,886

Total Potential Reach

50

Median Follower Reach

176

75th Percentile Reach

5.4%

>1K followers

0.9%

>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).

66.5%

Creators

6,646 accounts

17.4%

Consumers

1,737 accounts

16.2%

Dormant

1,617 accounts

66

Verified Followers

0.66% of total

7.4%

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):

Los Angeles, CA (65) United States (60) Albuquerque, NM (48) United Kingdom (38) London, England (33) Los Angeles (24) Chicago, IL (24) England, United Kingdom (23) France (23) he/him (23)

66

Verified Followers

0.66% of total

1,139

Protected Accounts

11.39% of total

6 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 14,071,194 Wrestler Wrestling, Motivation, Self-promotion
@zumm1i1 850,948 Actress Acting, Singing, Calmness
@NOH8Campaign 798,887 Activism equality, bullying, discrimination
@IsabelMadowTV 277,410 Entertainment Actriz, Playboy, Cantante
@robtswthrayguns 257,147 Inventor synthwave, NFT, NSFW
@IanDoyleSport 143,518 Sports Journalist Liverpool FC, Football, Sports Writing
@RuleXRP 143,284 CEO Crypto, Blockchain, Media
@BeatlesEarth 140,997 - -
@jnascim 130,590 Lawyer Direito Internacional, Desigualdades, Ted Lasso
@Chicago_History 123,529 Historian Chicago, History, Beer

Top Keywords in Follower Bios

love (205) hehim (202) writer (165) music (131) life (119) lover (106) sheher (101) artist (99) film (94) twitter (91)

Top Hashtags in Follower Bios

#1 (24) #blm (10) #bcstwt (9) #blacklivesmatter (9) #breakingbad (8) #bettercallsaul (6) #resist (6) #nafo (5) #voteblue (5) #wgastrong (4)

6,739

Followers With Bio

3,261

Followers Without Bio

67.39%

% With Bio

32.61%

% 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

285,672

Combined Engagement

29,684

Total Likes

255,988

Total Retweets

57,134

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Writing Tv Production Collaboration Storytelling Fan Engagement Behind-The-Scenes Content Creative Process

Key Insights & Takeaways

He frequently shares behind-the-scenes content and updates about his writing projects, which helps build a connection with his audience. His tweets often include links to specific episodes or threads, indicating a focus on detailed storytelling and collaboration. He engages with his audience by responding to their reactions and involving them in the creative process.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 66,541
  • + 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 @TomSchnauz reveals an well-established Twitter presence with 66,541 followers. The account demonstrates a conversation-first approach, averaging 293.7 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