Dylan McDermott
https://www.facebook.com/unsupportedbrowser
168,055
Followers
409
Following
8,143
Tweets
284.1
Avg Engagement
686
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DylanMcDermott'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:2012-05-23
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,177
- Avg Likes per Tweet:153.7
- Avg Retweets per Tweet:130.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,177 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction and interest in his content.
153.7
Avg Likes/Tweet
130.4
Avg Retweets/Tweet
488,455
Total Likes
414,263
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
7
Median Retweets
164
75th Percentile
303,994
Top Tweet
1.69
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
41.6%
Original
21.9%
Replies
36.4%
Retweets
0.1%
Quotes
0.0%
Threads
0.7%
With Media
45.5%
With Links
26.1%
With #Tags
78.4%
With @Mentions
6.7%
With Emojis
84
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.53
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.3%
Weekday Posts
11.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,177 tweetsContent Type Distribution
Content Breakdown
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 1,156 retweets (36% 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 3,177 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 fans of his acting roles and television shows, with a strong interest in entertainment news and behind-the-scenes content.
Average
Audience Quality
23.2%
Suspicion Index
22.6%
Low-Quality %
55
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
33.8%
Empty Bio
17.8%
<10 Tweets
18.7%
Mass Following (>2K)
0.0%
New (<90 days)
52.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.6%
No URL
11.4%
<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.
97,786,982
Total Potential Reach
55
Median Follower Reach
226
75th Percentile Reach
7.2%
>1K followers
0.9%
>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).
64.9%
Creators
32,447 accounts
17.3%
Consumers
8,631 accounts
17.8%
Dormant
8,922 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):
370
Verified Followers
0.37% of total
15,482
Protected Accounts
15.33% 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 |
|---|---|---|---|
| @netflix | 21,782,042 | Entertainment | Cardi B, Netflix, Petition |
| @JohnCena | 14,100,459 | Wrestler | Wrestling, Motivation, Self-promotion |
| @EW | 6,409,596 | Media | Movies, Entertainment, News |
| @WhatTheFFacts | 5,605,347 | Facts | Facts, WTF, Curiosity |
| @jaketapper | 3,162,601 | Journalist | News, Politics, Journalism |
| @BeatsByAssassin | 2,261,573 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,033,369 | - | - |
| @sherylunderwood | 1,319,066 | TV Host | Talk show, radio, sorority |
| @soledadobrien | 1,317,635 | Journalist | working, mom, journalist |
| @RexChapman | 1,254,237 | Commentator | Basketball, Horse racing, Commentary |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
65,713
Followers With Bio
35,285
Followers Without Bio
65.06%
% With Bio
34.94%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,177 analyzed362,454
Combined Engagement
22,379
Total Likes
340,075
Total Retweets
72,491
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @BarackObama: Dr. King was 26 when the Montgomery bus boycott began. He started small, rallying others who believed their efforts matter…
RT @pattonoswalt: National Suicide Hotline 1 800 273 8255 I’ve brushed up against this darkness and I know it’s a tempting exit but REACH…
Just like Old Times... @AHSFX @tweetonourface @MrRPMurphy https://t.co/xSELzd8OC9
#AHStories https://t.co/7lUw3cNwMe
Thank you for all the love. It was great being back on AMERICAN HORROR STORY! What a Tear Jerker! @AHSFX @MrRPMurphy
Key Insights & Takeaways
He frequently engages with fellow cast members and show creators, highlighting his involvement in the production process. His tweets often include links to show-related content, suggesting a focus on promoting his work. He expresses gratitude to his followers, which helps build a loyal and supportive fan base.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 168,055
- + 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 @DylanMcDermott reveals an well-established Twitter presence with 168,055 followers. The account demonstrates a content-creator strategy, averaging 284.1 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.
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