💐🌼Dragon Con 🌹🌺

💐🌼Dragon Con 🌹🌺

@DragonCon

This is the official Dragon Con twitter. We are the largest multi-media, pop culture con focusing on scifi, fantasy, gaming, comics, lit, art, music, and film!

Atlanta, Georgia https://www.dragoncon.org/ Joined 2009-02-18 Date of Analysis: Dec 16, 2025

70,161

Followers

1,686

Following

12,928

Tweets

1,021.8

Avg Engagement

1,478

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DragonCon'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:2009-02-18
  • Verification:No
  • Location:Atlanta, Georgia

Data Summary

  • Tweets Analyzed:3,193
  • Avg Likes per Tweet:43.2
  • Avg Retweets per Tweet:978.6
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,193 tweets

The account consistently receives high engagement with an average of 1,257 likes and 250 retweets per tweet, indicating strong fan interaction. Verified accounts make up 1.6% of the followers, suggesting a mix of fans and industry influencers.

43.2

Avg Likes/Tweet

978.6

Avg Retweets/Tweet

137,817

Total Likes

3,124,694

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

2

Median Retweets

56

75th Percentile

1,935,140

Top Tweet

14.56

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

27.8%

Original

49.4%

Replies

20.1%

Retweets

2.7%

Quotes

0.0%

Threads

2.7%

With Media

56.1%

With Links

29.9%

With #Tags

75.9%

With @Mentions

5.3%

With Emojis

134

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.77

Reply/Original Ratio

0.13

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.4%

Weekday Posts

26.6%

Weekend Posts

Top Hashtags

#dragoncon2022 (186) #dragoncon2019 (184) #dragoncon2021 (147) #dragoncon (125) #dragoncongoesvirtual (61) #dragoncon2020 (44) #dragoncon2023 (30) #cosplay (23) #starwars (20) #warehouse13 (16)

Most Mentioned

@dragoncon (485) @dragoncontv (92) @swatdc (46) @brittrack (36) @epicphotoops (29) @lifesouth (28) @sarahrose_kpk (27) @eddiemcclintock (25) @atlmarriottmarq (19) @mark_meer (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 3,193 tweets

Content Type Distribution

Content Breakdown

Original Tweets 889 (28%)
Replies 1,577 (49%)
Retweets 641 (20%)
Quote Tweets 86 (3%)

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 641 retweets (20% 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 3,193 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 sci-fi, fantasy, gaming, and pop culture, as well as event attendees and industry professionals. The audience is highly engaged and emotionally invested in the Dragon Con experience.

Good

Audience Quality

16.6%

Suspicion Index

17.4%

Low-Quality %

80

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

26.2%

Empty Bio

13.9%

<10 Tweets

13.7%

Mass Following (>2K)

0.0%

New (<90 days)

34.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

69.8%

No URL

8.7%

<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.

33,811,254

Total Potential Reach

80

Median Follower Reach

314

75th Percentile Reach

11.3%

>1K followers

1.9%

>10K followers

0.5%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

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

72.0%

Creators

7,203 accounts

14.1%

Consumers

1,409 accounts

13.9%

Dormant

1,388 accounts

161

Verified Followers

1.61% of total

14.5%

Professional Bios

founder, dev, analyst, etc.

0.18

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):

Atlanta, GA (425) United States (160) Georgia, USA (153) Los Angeles, CA (70) USA (61) Florida, USA (57) Atlanta (53) Georgia (37) Orlando, FL (34) California, USA (34)

161

Verified Followers

1.61% of total

786

Protected Accounts

7.86% of total

7 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 14,093,874 Wrestler Wrestling, Motivation, Self-promotion
@bobatl 1,891,577 Musician Music, Vinyl, Elements
@jamessmurray 1,010,733 Comedian Comedy, TV shows, Thriller
@tulioorocha_ 823,016 Cryptocurrency Advisor Crypto, Marketing, Collaboration
@SteveMorganOk 745,963 Self-help self-love, self-worth, self-esteem
@GinoAssereto 691,382 Marketing Strategy Advisor Crypto, Marketing, NFT
@Cudlitz 659,732 Actor Analog, Public, Guy
@Britney_Amber 643,285 Adult entertainer Adult, Model, Entrepreneur
@savannah_solo 562,874 Content Creator Star Wars, Podcasting, Onlyfans
@RealDDP 526,173 Wrestler WWE, DDPY, Inspiration

Top Keywords in Follower Bios

sheher (541) love (403) writer (324) artist (324) nerd (314) lover (278) life (276) hehim (268) gamer (260) cosplayer (249)

Top Hashtags in Follower Bios

#blacklivesmatter (31) #blm (25) #wynonnaearp (22) #1 (20) #dnd (19) #ttrpg (18) #starwars (17) #startrek (15) #e4l (15) #earper (14)

7,382

Followers With Bio

2,618

Followers Without Bio

73.82%

% With Bio

26.18%

% 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 3,193 analyzed

2,914,055

Combined Engagement

0

Total Likes

2,914,055

Total Retweets

582,811

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Pop Culture Sci-Fi Fantasy Gaming Fan Engagement Event Promotion Celebrity Collaborations

Key Insights & Takeaways

The account emphasizes fan appreciation and event excitement, which drives engagement. Content often highlights collaborations with popular media and celebrities, increasing visibility. The use of hashtags like #DragonCon and #WynonnaEarp helps in community building and event promotion.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 70,161
  • + 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 @DragonCon reveals an exceptionally influential Twitter presence with 70,161 followers. The account demonstrates a conversation-first approach, averaging 1,021.8 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