Sean Parnell

Sean Parnell

@SeanParnellUSA

Combat Veteran, NYT Best Selling Author, Husband, Father, Leader & 🎙️host of Battleground LIVE 🎙️🇺🇸 Unapologetically American

Pittsburgh, PA https://rumble.com/c/BattlegroundPodcast Joined 2012-07-17 Date of Analysis: Dec 16, 2025

231,655

Followers

1,072

Following

39,444

Tweets

1,897.6

Avg Engagement

780

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @SeanParnellUSA'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:2012-07-17
  • Verification:No
  • Location:Pittsburgh, PA

Data Summary

  • Tweets Analyzed:3,238
  • Avg Likes per Tweet:111.7
  • Avg Retweets per Tweet:1,786.0
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,238 tweets

{'average_likes': 'Typically receives several hundred to over a thousand likes per tweet.', 'engagement_rate': 'Moderate to high, depending on the topic and current events.', 'average_retweets': 'Retweets are frequent, often exceeding several hundred.', 'comment_frequency': 'Comments are common, indicating a responsive audience, but may also be contentious.'}

111.7

Avg Likes/Tweet

1,786.0

Avg Retweets/Tweet

361,632

Total Likes

5,782,947

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

135

Median Retweets

1,260

75th Percentile

220,865

Top Tweet

8.19

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

4.1%

Original

16.1%

Replies

65.1%

Retweets

14.7%

Quotes

0.0%

Threads

0.2%

With Media

28.8%

With Links

3.8%

With #Tags

82.6%

With @Mentions

8.5%

With Emojis

128

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.88

Reply/Original Ratio

0.23

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

76.6%

Weekday Posts

23.4%

Weekend Posts

Top Hashtags

#pasen (18) #oil (6) #firstclassfatherhood (4) #breaking (4) #sotu (4) #ohsen (3) #cpac2023 (3) #pennsylvania (3) #superbowl (3) #azsen (3)

Most Mentioned

@jackposobiec (179) @kathy4truth (124) @surabees (121) @elonmusk (89) @claytravis (87) @greg_price11 (83) @donaldjtrumpjr (73) @seanparnellusa (71) @mattwolking (59) @davemccormickpa (54)

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Content Strategy Analysis

Based on 3,238 tweets

Content Type Distribution

Content Breakdown

Original Tweets 134 (4%)
Replies 520 (16%)
Retweets 2,109 (65%)
Quote Tweets 475 (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 2,109 retweets (65% 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 3,238 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

{'political_leaning': 'Strongly conservative.', 'likely_demographics': 'Predominantly male, likely 35+, residing in the United States, with an interest in conservative politics and military/national security topics.', 'potential_interests': 'Conservative media, military affairs, national security, political commentary, Republican party.'}

Average

Audience Quality

22.7%

Suspicion Index

24.4%

Low-Quality %

94

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

39.9%

Empty Bio

14.1%

<10 Tweets

24.2%

Mass Following (>2K)

0.0%

New (<90 days)

43.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.4%

No URL

9.0%

<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.

73,082,074

Total Potential Reach

94

Median Follower Reach

459

75th Percentile Reach

15.3%

>1K followers

1.1%

>10K followers

0.3%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

71.5%

Creators

35,750 accounts

14.4%

Consumers

7,192 accounts

14.1%

Dormant

7,058 accounts

2,042

Verified Followers

4.08% of total

4.8%

Professional Bios

founder, dev, analyst, etc.

0.13

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 (1,294) USA (504) Florida, USA (450) Texas, USA (422) Pennsylvania, USA (269) California, USA (221) Pittsburgh, PA (170) Arizona, USA (160) Texas (152) New York, USA (151)

3,388

Verified Followers

3.35% of total

10,964

Protected Accounts

10.86% 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 14,100,355 Wrestler Wrestling, Motivation, Self-promotion
@tedcruz 5,988,305 Politician Fatherhood, Liberty, Texas
@kayleighmcenany 3,315,459 Political Commentator Politics, News, Media
@megynkelly 2,734,478 Journalist Family, Journalism, Love
@mattgaetz 2,076,413 Politician Politics, Florida, America First
@scrowder 2,050,456 Comedian Conservative, Comedy, Podcasts
@hodgetwins 1,932,772 Comedians Merch, Giveaways, Podcast
@miguelhotero 1,929,423 Journalist Politics, Journalism, Leadership
@KimDotcom 1,364,800 Entrepreneur Entrepreneur, Gamer, Internet Freedom
@1pcornwell 1,187,694 Author crime, mystery, writing

Top Keywords in Follower Bios

conservative (5,209) love (5,177) god (4,764) trump (4,241) patriot (3,970) proud (3,109) american (3,032) family (3,021) america (3,011) country (2,947)

Top Hashtags in Follower Bios

#maga (2,055) #2a (761) #fjb (391) #americafirst (379) #trump2024 (376) #1a (367) #kag (315) #patriot (309) #trump (234) #backtheblue (226)

58,956

Followers With Bio

42,030

Followers Without Bio

58.38%

% With Bio

41.62%

% 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 3,238 analyzed

724,020

Combined Engagement

0

Total Likes

724,020

Total Retweets

144,804

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Political Commentary National Security Military Affairs Republican Party Conservative Policy Elections Pennsylvania Politics Joe Biden Administration Donald Trump

Key Insights & Takeaways

['The account demonstrates a high level of activity and engagement within the conservative online community.', 'The follower count suggests a significant reach within a specific political niche.', 'The lack of accounts followed indicates a focus on broadcasting rather than direct interaction with other accounts.', 'Content frequently relates to current political events and often takes a critical stance toward Democratic policies.', 'The account is likely used to amplify conservative viewpoints and mobilize support for specific causes.']

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 231,655
  • + 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 @SeanParnellUSA reveals an exceptionally influential Twitter presence with 231,655 followers. The account demonstrates a conversation-first approach, averaging 1,897.6 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