Dan Slott
Comic Book Writer. Currently writing #SuperiorSpiderMan and #SpiderBoy once a month. And #DoctorWho once a year. dan.slott on IG and Threads.
162,303
Followers
2,080
Following
125,520
Tweets
438.0
Avg Engagement
2,192
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DanSlott'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:2009-07-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:228.3
- Avg Retweets per Tweet:209.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsHis tweets receive an average of 27,565 likes and 2,378 retweets, indicating high levels of interaction. The engagement is driven by his expertise and personal opinions on popular media.
228.3
Avg Likes/Tweet
209.7
Avg Retweets/Tweet
740,791
Total Likes
680,567
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
0
Median Retweets
136
75th Percentile
145,544
Top Tweet
2.7
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
15.0%
Original
67.2%
Replies
9.2%
Retweets
8.5%
Quotes
0.0%
Threads
0.2%
With Media
35.0%
With Links
7.7%
With #Tags
66.8%
With @Mentions
7.0%
With Emojis
135
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.48
Reply/Original Ratio
0.92
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
68.0%
Weekday Posts
32.0%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,245 tweetsContent Type Distribution
Content Breakdown
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 300 retweets (9% 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 3,245 tweetsEngagement 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 followersHis audience primarily consists of comic book fans and writers interested in his creative process. They engage with his content through likes and retweets, showing strong support for his work.
Average
Audience Quality
20.7%
Suspicion Index
17.8%
Low-Quality %
69
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.0%
Empty Bio
14.6%
<10 Tweets
18.3%
Mass Following (>2K)
0.0%
New (<90 days)
49.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.1%
No URL
9.6%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
80,279,841
Total Potential Reach
69
Median Follower Reach
260
75th Percentile Reach
8.4%
>1K followers
1.3%
>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).
70.7%
Creators
35,362 accounts
14.7%
Consumers
7,340 accounts
14.6%
Dormant
7,298 accounts
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):
629
Verified Followers
0.62% of total
9,295
Protected Accounts
9.2% of total
8 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 | 14,100,937 | Wrestler | Wrestling, Motivation, Self-promotion |
| @pattonoswalt | 4,667,771 | Comedian | comedy, acting, podcasting |
| @Lin_Manuel | 3,472,058 | Composer | Music, Theater, Activism |
| @kumailn | 3,011,277 | Comedian | comedy, acting, writing |
| @jugsjugsjugs | 2,990,480 | Music Manager | Music, Contact, Manager |
| @amrmsalama | 2,711,041 | Filmmaker | Filmmaking, Cinema, Art |
| @GavinNewsom | 2,072,462 | Politician | Family, Politics, California |
| @BurgerKing | 2,037,885 | Fast Food | Fast Food, Flame-Grilled, Established |
| @bbcdoctorwho | 1,633,511 | TV Show | Science Fiction, Time Travel, Adventure |
| @TheWalkingDead | 1,611,860 | TV Show | Zombies, Social Justice, TV Shows |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
75,684
Followers With Bio
25,312
Followers Without Bio
74.94%
% With Bio
25.06%
% 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 $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,245 analyzed340,827
Combined Engagement
174,057
Total Likes
166,770
Total Retweets
68,165
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
Anyone saying the @SheHulkOfficial TV show wasn't "comic book accurate"... I'm the guy who has written more issues of SHE-HULK than anyone. I've read every single comic from every #SheHulk run. And I'm saying, for the record, it is the MOST comic book accurate show in the MCU.
RT @Esqueer_: Romanian authorities needed proof that Andrew Tate was in the country so they reportedly used his social media posts. His rid…
RT @DiscussingFilm: ‘Home Alone 2: Lost in New York’ star Donald Trump has been indicted on criminal charges. https://t.co/lzlF3bLgKi
My advice: Don't think of it as a BLACK ADAM film. Think of it as a Dr. Fate & Hawkman buddy picture. https://t.co/QJ0dN3iXgK
RT @JamesGunn: Here are just a few of our plans. Up, up, and away! #DCStudios #DCU @DCComics https://t.co/8XNDNLUEPq
Key Insights & Takeaways
He emphasizes the importance of comic book accuracy in adaptations, particularly with She-Hulk. He provides unique perspectives on TV show cancellations and potential movie adaptations. He uses his platform to connect with fans and share his creative journey.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 162,303
- + 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 @DanSlott reveals an well-established Twitter presence with 162,303 followers. The account demonstrates a conversation-first approach, averaging 438.0 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