Evil Dead
Witness the mother of all evil in #EvilDeadRise - Available on Digital
58559
Followers
195
Following
796
Tweets
316,7
Avg Engagement
181
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EvilDead'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:2012-05-10
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:224,9
- Avg Retweets per Tweet:91,8
- Followers Analyzed:47313
Engagement Analysis
Based on 599 tweetsThe account has a high average number of likes and retweets, indicating strong audience interaction with its content. The use of hashtags and links helps drive traffic and visibility.
224,9
Avg Likes/Tweet
91,8
Avg Retweets/Tweet
134717
Total Likes
55015
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
12
Median Retweets
69
75th Percentile
39396
Top Tweet
5,41
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
47,9%
Original
19,5%
Replies
31,9%
Retweets
0,7%
Quotes
0,0%
Threads
0,2%
With Media
69,4%
With Links
79,5%
With #Tags
70,6%
With @Mentions
2,8%
With Emojis
120
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,41
Reply/Original Ratio
0,02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78,5%
Weekday Posts
21,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 191 retweets (32% 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 599 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 47313 followersThe audience is likely movie enthusiasts, horror fans, and potential theater-goers interested in the 'Evil Dead' franchise. They are engaged with trailers, promotional content, and movie-related discussions.
Good
Audience Quality
16,0%
Suspicion Index
16,9%
Low-Quality %
92
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27,9%
Empty Bio
10,5%
<10 Tweets
14,2%
Mass Following (>2K)
0,0%
New (<90 days)
33,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
74,9%
No URL
5,9%
<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.
84986550
Total Potential Reach
92
Median Follower Reach
293
75th Percentile Reach
7,7%
>1K followers
1,1%
>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).
73,6%
Creators
34832 accounts
15,8%
Consumers
7495 accounts
10,5%
Dormant
4986 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):
212
Verified Followers
0.45% of total
5112
Protected Accounts
10.8% of total
9 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 | 14106723 | Wrestler | Wrestling, Motivation, Self-promotion |
| @hootsuite | 7331291 | Social Media Manager | Social media, news, tips |
| @verified | 4201244 | - | - |
| @Slash | 3591992 | Musician | Music, Guitar, Rock |
| @Variety | 2909297 | Entertainment industry | Entertainment, Business, Variety |
| @ComedyCentral | 1570152 | Comedian | comedy, humor, entertainment |
| @soledadobrien | 1320650 | Journalist | working, mom, journalist |
| @ItsTheSituation | 1270824 | Reality TV Star | recovery, advocate, fitness |
| @LILBTHEBASEDGOD | 1251114 | Rapper | Music, Writing, Film |
| @VH1 | 1197169 | Entertainment | Reality TV, Hip Hop, Cartel |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34132
Followers With Bio
13181
Followers Without Bio
72.14%
% With Bio
27.86%
% 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 599 analyzed99503
Combined Engagement
81074
Total Likes
18429
Total Retweets
19901
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
100%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Witness the mother of all evil in the official trailer for Evil Dead Rise - only in theaters April 21. #EvilDeadRise https://t.co/CMtitMZumK
Mommy loves you to death. Evil Dead Rise – in theaters April 21. #EvilDeadRise https://t.co/i3SnmW1x9n
#EvilDeadRise has possessed the hearts & minds of critics everywhere! https://t.co/uAzbsJGrm8
Trick or treat, Deadites. Here is the first look for Evil Dead Rise - in theaters April 21. #EvilDeadRise https://t.co/CKphVq8zz2
A little peek at what’s to come. New trailer for Evil Dead Rise arrives tomorrow. #EvilDeadRise https://t.co/B2Lj45AHVp
Key Insights & Takeaways
The account heavily relies on promotional content for the movie 'Evil Dead Rise' Engagement is driven by trailers and event announcements Hashtags and links are used to increase visibility and direct traffic to the movie's release
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 58559
- + 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 @EvilDead reveals an well-established Twitter presence with 58559 followers. The account demonstrates a content-creator strategy, averaging 316,7 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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