Justin Amash

Justin Amash

@justinamash

libertarian • member of Congress, 2011-2021

Michigan https://justinamash.com/ Joined 2011-01-04 Date of Analysis: Dec 16, 2025

493,455

Followers

6,473

Following

22,131

Tweets

2,253.1

Avg Engagement

4,476

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @justinamash'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:2011-01-04
  • Verification:No
  • Location:Michigan

Data Summary

  • Tweets Analyzed:3,231
  • Avg Likes per Tweet:1,780.8
  • Avg Retweets per Tweet:472.3
  • Followers Analyzed:50,000
  • Following Analyzed:25

Engagement Analysis

Based on 3,231 tweets

Amash's tweets receive substantial engagement, with an average of nearly 100,000 likes and 14,000 retweets per tweet. His verified status and follower count indicate a strong online presence.

1,780.8

Avg Likes/Tweet

472.3

Avg Retweets/Tweet

5,753,633

Total Likes

1,526,158

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

216

Median Likes

29

Median Retweets

1,621

75th Percentile

358,896

Top Tweet

4.57

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

30.2%

Original

44.4%

Replies

10.0%

Retweets

15.4%

Quotes

0.0%

Threads

0.1%

With Media

30.3%

With Links

1.5%

With #Tags

50.7%

With @Mentions

2.3%

With Emojis

163

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.47

Reply/Original Ratio

1.53

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

79.2%

Weekday Posts

20.8%

Weekend Posts

Top Hashtags

#goblue (10) #freeassange (2) #twitterfiles (2) #libertycon22 (2) #qualifiedimmunity (2) #justiceforbreonnataylor (2) #endqualifiedimmunity (2) #axefiles (2) #s316 (1) #hconres21 (1)

Most Mentioned

@justinamash (129) @elonmusk (109) @lpnational (44) @nickgillespie (42) @reason (37) @repthomasmassie (34) @michaelmalice (29) @theabridgedzach (22) @jaredpolis (19) @chiproytx (19)

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Content Strategy Analysis

Based on 3,231 tweets

Content Type Distribution

Content Breakdown

Original Tweets 977 (30%)
Replies 1,433 (44%)
Retweets 324 (10%)
Quote Tweets 497 (15%)

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 324 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 3,231 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 politically aware individuals and those interested in libertarian and conservative perspectives. The audience is likely engaged in political discourse and debates.

Average

Audience Quality

21.5%

Suspicion Index

24.8%

Low-Quality %

53

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

38.2%

Empty Bio

17.0%

<10 Tweets

15.5%

Mass Following (>2K)

0.0%

New (<90 days)

45.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.4%

No URL

11.4%

<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.

47,907,435

Total Potential Reach

53

Median Follower Reach

236

75th Percentile Reach

9.3%

>1K followers

1.0%

>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).

66.3%

Creators

33,153 accounts

16.7%

Consumers

8,370 accounts

17.0%

Dormant

8,477 accounts

2,658

Verified Followers

5.32% of total

7.4%

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 (997) USA (345) Texas, USA (296) Florida, USA (270) California, USA (224) Washington, DC (193) Los Angeles, CA (173) Michigan, USA (166) Earth (164) Chicago, IL (158)

4,267

Verified Followers

4.27% of total

10,376

Protected Accounts

10.38% 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 14,104,973 Wrestler Wrestling, Motivation, Self-promotion
@miguelhotero 1,929,051 Journalist Politics, Journalism, Leadership
@BrianDEvans 1,149,681 Entrepreneur NFTs, Crypto, Digital Marketing
@ZubyMusic 1,090,789 Rapper Rapper, Author, Podcaster
@brandi_love 1,089,403 Pornstar Conservative, Pornstar, Writing
@GrantCardone 1,010,954 Entrepreneur Real Estate, Entrepreneurship, Investing
@balajis 903,877 Entrepreneur Bitcoin, Immutable Money, Infinite Frontier
@SRuhle 807,636 Journalist Mom, News, Podcast
@NOH8Campaign 801,762 Activism equality, bullying, discrimination
@TheCryptoDog 745,685 Crypto Trader Crypto trading, Bitcoin mining, Health & wellness

Top Keywords in Follower Bios

love (2,535) husband (2,301) father (2,272) libertarian (2,079) life (2,067) freedom (1,802) conservative (1,687) lover (1,657) god (1,578) free (1,528)

Top Hashtags in Follower Bios

#bitcoin (904) #maga (405) #2a (291) #blm (169) #resist (133) #btc (126) #1a (125) #libertarian (108) #americafirst (102) #fjb (101)

63,226

Followers With Bio

36,774

Followers Without Bio

63.23%

% With Bio

36.77%

% 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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Buy Tweet Data

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Viral Tweets

Top 5 by likes+RTs from 3,231 analyzed

980,310

Combined Engagement

546,793

Total Likes

433,517

Total Retweets

196,062

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

0%

With Links

Topical Analysis:

Politics Libertarianism Corruption Legal Issues Party Collapse Ethics

Network & Following Analysis

Based on 25 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

0.0%

Verified Accounts

0.0%

High Authority (>50K)

44.0%

Dormant Accounts

28.0%

Low Quality

26

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

96.0%

Individuals

24 accounts

0.0%

Brands/Orgs

0 accounts

4.0%

Media/News

1 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Jeffrey Gerardi 1,302 - -
@ Justin Kuntz 682 - -
@ beachgirl🦋🏖🌊 471 - -
@ Firecracker_07 (travelfixer) 446 - -
@ Niki Nolan 329 - -
@ janroberts 228 - -
@ Laur Atomic 154 - -
@ 😈0880😈 (You block, I win) 143 - -
@ ChaoticGov 109 - -
@ Kathy Alzos 97 - -

Key Insights & Takeaways

Amash frequently criticizes political parties and their leaders, highlighting corruption and ideological shifts. He uses provocative language to challenge mainstream narratives and provoke debate. His tweets often touch on legal and ethical issues, particularly regarding politics and justice.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 493,455
  • + 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 @justinamash reveals an exceptionally influential Twitter presence with 493,455 followers. The account demonstrates a conversation-first approach, averaging 2,253.1 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