Morbid Podcast
A #podcast covering all things spooky. Hosted by autopsy tech Alaina and hairstylist Ash. We bring a wide range of experience to the table 🤘⚰
126,522
Followers
696
Following
3,357
Tweets
162.1
Avg Engagement
114
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AMorbidPodcast'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:2018-04-23
- Verification:No
- Location:Boston, MA
Data Summary
- Tweets Analyzed:591
- Avg Likes per Tweet:150.4
- Avg Retweets per Tweet:11.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 591 tweetsThe podcast maintains a steady level of engagement with an average of 2,612 likes and 201 retweets per tweet. Their content resonates well with followers, as evidenced by the high interaction rates.
150.4
Avg Likes/Tweet
11.7
Avg Retweets/Tweet
88,873
Total Likes
6,900
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
53
Median Likes
2
Median Retweets
128
75th Percentile
4,228
Top Tweet
1.28
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
74.8%
Original
13.7%
Replies
9.1%
Retweets
2.4%
Quotes
0.0%
Threads
16.1%
With Media
81.0%
With Links
3.4%
With #Tags
31.5%
With @Mentions
29.1%
With Emojis
104
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.18
Reply/Original Ratio
0.26
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86.5%
Weekday Posts
13.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 591 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 54 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 591 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 followersThe podcast targets individuals who enjoy horror, true crime, and dark humor, particularly those with an interest in the macabre and the unusual. It also attracts listeners looking for authentic, behind-the-scenes storytelling.
Good
Audience Quality
19.5%
Suspicion Index
28.7%
Low-Quality %
29
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.7%
Empty Bio
25.6%
<10 Tweets
3.7%
Mass Following (>2K)
0.0%
New (<90 days)
38.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.1%
No URL
17.7%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
20,364,732
Total Potential Reach
29
Median Follower Reach
153
75th Percentile Reach
3.6%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
56.0%
Creators
27,994 accounts
18.4%
Consumers
9,188 accounts
25.6%
Dormant
12,818 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):
353
Verified Followers
0.35% of total
15,358
Protected Accounts
15.36% 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 | 14,105,674 | Wrestler | Wrestling, Motivation, Self-promotion |
| @1pcornwell | 1,189,040 | Author | crime, mystery, writing |
| @SamandColby | 1,015,642 | Content creators | Exploration, Adventure, Friendship |
| @omghelayna | 968,545 | - | - |
| @NOH8Campaign | 802,074 | Activism | equality, bullying, discrimination |
| @ApplePodcasts | 636,880 | Podcast Platform | Podcasts, Creators, Access |
| @itzzzmad | 629,813 | - | - |
| @abusulayman | 580,003 | Strategy Advisor | Development, Education, Media |
| @Boogie2988 | 493,257 | YouTuber | gaming, mental health, streaming |
| @margaretcho | 450,892 | Comedian | Podcast, Comedy, Streaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,600
Followers With Bio
37,400
Followers Without Bio
62.6%
% With Bio
37.4%
% 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 591 analyzed17,683
Combined Engagement
17,240
Total Likes
443
Total Retweets
3,537
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Hey Weirdos! We had a death in the family and needed to take a pause to focus on our mental health. We will be back on Monday with our regularly scheduled content. Thank you so much for understanding! 🖤
Moiria& Morticia🌹 https://t.co/vtWmiCv7ag
OH OK, SPOTIFY. Guys, wtf. This rules. We love your guts! 🎙 🖤🤘🏻 https://t.co/PmiDlBUVMY
https://t.co/7IstGGMqai
Episode 397: True Crime & True Hauntings with Sam and Colby!!! @SamandColby 🚢🛳️⚓️ https://t.co/uMMwLglZfg
Key Insights & Takeaways
The hosts prioritize mental health and transparency, which builds trust with their audience. They use a mix of humor and horror to keep their content engaging and unique. Their personal backgrounds add authenticity and depth to their storytelling.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 126,522
- + 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 @AMorbidPodcast reveals an well-established Twitter presence with 126,522 followers. The account demonstrates a content-creator strategy, averaging 162.1 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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