Kings of Con : The Podcast

Kings of Con : The Podcast

@KingsOfCon

Rob Benedict and Richard Speight, Jr. embark on a weekly podcast-ial journey as they have cocktails with some of the busiest actors in the con biz.

https://www.patreon.com/kingsofconpodcast Joined 2015-03-25 Date of Analysis: Dec 16, 2025

53,852

Followers

399

Following

1,720

Tweets

282.1

Avg Engagement

298

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @KingsOfCon'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:2015-03-25
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:1,693
  • Avg Likes per Tweet:219.5
  • Avg Retweets per Tweet:62.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 1,693 tweets

The account maintains a high level of engagement with an average of 3,577 likes and 769 retweets per tweet. Their content is often shared and appreciated by their followers.

219.5

Avg Likes/Tweet

62.6

Avg Retweets/Tweet

371,580

Total Likes

105,979

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

83

Median Likes

21

Median Retweets

353

75th Percentile

11,941

Top Tweet

5.24

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

49.7%

Original

21.6%

Replies

21.3%

Retweets

7.4%

Quotes

0.0%

Threads

1.2%

With Media

56.2%

With Links

46.2%

With #Tags

76.1%

With @Mentions

2.8%

With Emojis

121

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.43

Reply/Original Ratio

0.35

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

89.4%

Weekday Posts

10.6%

Weekend Posts

Top Hashtags

#kingsofcon (439) #renewkoc (78) #dingbringers (49) #kingsofconversation (48) #48hourshoutout (46) #gishwhes (19) #supernatural (18) #sdcc (14) #gishwhes2016 (12) #spnfamily (9)

Most Mentioned

@dicksp8jr (520) @robbenedict (493) @kingsofcon (245) @comicconhq (221) @tinadensmore (108) @rob_and_rich (32) @mattcohen4real (31) @kimrhodes4real (30) @patreon (22) @carlynykanen (19)

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 1,693 tweets

Content Type Distribution

Content Breakdown

Original Tweets 842 (50%)
Replies 365 (22%)
Retweets 361 (21%)
Quote Tweets 125 (7%)

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 361 retweets (21% 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 1,693 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

The primary audience includes fans of the podcast, convention attendees, and entertainment industry professionals. The content appeals to those interested in celebrity culture and behind-the-scenes insights.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

15

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.4%

No URL

100.0%

<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.

Try Bot Detector

Follower Reach & Influence

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

4,023,108

Total Potential Reach

15

Median Follower Reach

78

75th Percentile Reach

3.1%

>1K followers

0.2%

>10K followers

0.1%

>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).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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 (81) Texas, USA (39) England, United Kingdom (26) United Kingdom (26) São Paulo, Brasil (26) Ohio, USA (24) Los Angeles, CA (24) Canada (23) Florida, USA (22) Australia (22)

0

Verified Followers

0.0% of total

859

Protected Accounts

8.59% 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
@mmpadellan 1,238,051 Political Commentator #BlueWave2022, #Feminist, #TheResistance
@zammit_marc 384,459 Filmmaker Film, Acting, Producing
@mattcohen4real 254,034 Actor acting, directing, family
@michaelrosenbum 186,907 Actor Superman, Podcasting, Music
@ericarhodes 138,387 Comedian Comedy, Acting, Podcasting
@ChadLindberg 110,703 Actor Paranormal, Candy, Acting
@ClareKramer 101,496 Interviewer Interviewing, Acting, Geek culture
@reynoldsgareth 60,823 Podcaster Comedy, Podcasting, Climate Change
@HuntersPlantao 44,998 Comedian Hunters, Plantão, Série
@TheRealRGS 35,033 - -

Top Keywords in Follower Bios

love (649) sheher (452) supernatural (439) life (292) mom (278) spn (262) lover (243) music (218) writer (172) things (166)

Top Hashtags in Follower Bios

#spnfamily (72) #supernatural (40) #spn (36) #akf (27) #blm (22) #alwayskeepfighting (13) #resist (11) #savethewinchesters (10) #theboys (10) #thewinchesters (10)

6,199

Followers With Bio

3,801

Followers Without Bio

61.99%

% With Bio

38.01%

% 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 1,693 analyzed

28,707

Combined Engagement

16,860

Total Likes

11,847

Total Retweets

5,741

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

100%

With Links

Topical Analysis:

Podcasting Entertainment Industry Celebrity Culture Community Engagement Behind-The-Scenes Content Social Media Promotion

Key Insights & Takeaways

The account frequently promotes new podcast episodes and collaborations with notable figures in the entertainment industry. They use Twitter to build excitement around their podcast and its guests, often sharing behind-the-scenes content. The account also engages in personal interactions, such as celebrating birthdays and sharing surprises with their co-hosts.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 53,852
  • + 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 @KingsOfCon reveals an well-established Twitter presence with 53,852 followers. The account demonstrates a content-creator strategy, averaging 282.1 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.

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