Bloody Disgusting

Bloody Disgusting

@BDisgusting

💀 Your #1 source for all things #horror 💀 Podcasts ➡️ @BloodyFm Screambox ➡️ @ScreamboxTV

Chicago, IL https://follow.bloody-disgusting.com/ Joined 2009-02-13 Date of Analysis: Dec 16, 2025

334,811

Followers

8,725

Following

121,301

Tweets

150.3

Avg Engagement

2,477

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @BDisgusting'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:2009-02-13
  • Verification:No
  • Location:Chicago, IL

Data Summary

  • Tweets Analyzed:3,243
  • Avg Likes per Tweet:115.5
  • Avg Retweets per Tweet:34.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,243 tweets

The account has an average of 3,368 likes and 911 retweets per tweet, indicating a highly engaged audience. The verified status of 1.2% suggests a mix of authentic and possibly bot-driven followers.

115.5

Avg Likes/Tweet

34.8

Avg Retweets/Tweet

374,492

Total Likes

113,017

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

49

Median Likes

14

Median Retweets

131

75th Percentile

5,618

Top Tweet

0.45

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

67.3%

Original

0.9%

Replies

30.7%

Retweets

1.2%

Quotes

0.0%

Threads

0.2%

With Media

81.0%

With Links

18.5%

With #Tags

53.8%

With @Mentions

2.4%

With Emojis

125

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.01

Reply/Original Ratio

0.04

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

92.6%

Weekday Posts

7.4%

Weekend Posts

Top Hashtags

#screamvi (84) #evildeadrise (41) #theoutwaters (34) #scream (28) #m3gan (27) #thelastofus (27) #sponsored (23) #sxsw (16) #renewhannibal (16) #yellowjackets (15)

Most Mentioned

@bdisgusting (340) @screamboxtv (248) @hauntedmeg (183) @alexislegend (69) @afinalboy (64) @theoutwaters (55) @optiluiz (44) @freddyinspace (41) @bstolemyremote (40) @jfcdoomblade (37)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,243 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,181 (67%)
Replies 28 (1%)
Retweets 995 (31%)
Quote Tweets 39 (1%)

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 995 retweets (31% 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 3,243 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

The audience primarily consists of horror enthusiasts and fans of Stephen King and other horror franchises. They are likely interested in podcasts, viral content, and upcoming horror films.

Average

Audience Quality

23.8%

Suspicion Index

27.2%

Low-Quality %

35

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

36.3%

Empty Bio

26.2%

<10 Tweets

12.4%

Mass Following (>2K)

0.0%

New (<90 days)

51.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

81.4%

No URL

18.2%

<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.

Try Bot Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

46,576,650

Total Potential Reach

35

Median Follower Reach

165

75th Percentile Reach

6.1%

>1K followers

0.7%

>10K followers

0.2%

>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).

54.3%

Creators

27,156 accounts

19.5%

Consumers

9,761 accounts

26.2%

Dormant

13,083 accounts

617

Verified Followers

1.23% of total

8.1%

Professional Bios

founder, dev, analyst, etc.

0.09

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 (497) Los Angeles, CA (343) Chicago, IL (190) California, USA (184) Texas, USA (142) United Kingdom (140) New York, USA (126) Canada (125) Florida, USA (125) London, England (120)

1,172

Verified Followers

1.16% of total

9,746

Protected Accounts

9.65% 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
@JohnCena 14,103,223 Wrestler Wrestling, Motivation, Self-promotion
@bellathorne 6,411,359 Actress book, movie, love
@DashieXP 5,184,160 Gamer gaming, humor, yelling
@paulwesley 4,157,219 Actor acting, directing, sustainability
@travelchannel 3,146,932 Travel TV Travel, Adventure, Exploration
@AHSFX 1,669,697 TV Show Creator horror, drama, anthology
@teddybearosito 1,571,195 Student Fashion, University, Social Media
@YayoGutierrez 980,004 Cineasta horror movies, music, content creation
@GhostAdventures 941,531 Paranormal Investigator paranormal, travel, streaming
@magdalenabravi 928,382 Actress-Dancer Actriz, Bailarina, Conductora de TV

Top Keywords in Follower Bios

horror (7,505) love (4,454) movies (2,951) music (2,603) lover (2,267) life (2,130) writer (2,072) hehim (1,969) things (1,793) film (1,791)

Top Hashtags in Follower Bios

#horror (349) #blm (201) #blacklivesmatter (154) #1 (140) #mutantfam (126) #horrorfam (89) #horrorcommunity (69) #horrormovies (65) #resist (59) #lgbtq (53)

68,819

Followers With Bio

32,180

Followers Without Bio

68.14%

% With Bio

31.86%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,243 analyzed

24,412

Combined Engagement

19,394

Total Likes

5,018

Total Retweets

4,882

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

0%

With @Mentions

100%

With Links

Topical Analysis:

Horror Podcasts Film Adaptations Viral Content Stephen King Nostalgia Collaborations

Key Insights & Takeaways

The account leverages horror nostalgia and iconic franchises to attract attention It promotes podcasts and film adaptations, positioning itself as a go-to source for horror news The use of viral content and collaborations with creators like Kane Parsons helps maintain relevance and engagement

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 334,811
  • + 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 @BDisgusting reveals an well-established Twitter presence with 334,811 followers. The account demonstrates a content-creator strategy, averaging 150.3 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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