Death Wish Coffee Co.
Bold coffee. Bolder Vibe. Live With a Death Wish.
111,108
Followers
4,518
Following
35,430
Tweets
70.2
Avg Engagement
404
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DeathWishCoffee'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:2011-10-28
- Verification:No
- Location:Saratoga Springs, NY
Data Summary
- Tweets Analyzed:3,206
- Avg Likes per Tweet:40.2
- Avg Retweets per Tweet:30.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,206 tweetsThe account has a moderate engagement rate with an average of 527 likes and 163 retweets per tweet. The content is designed to spark conversation and interaction.
40.2
Avg Likes/Tweet
30.0
Avg Retweets/Tweet
128,858
Total Likes
96,220
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
69
75th Percentile
50,566
Top Tweet
0.63
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
38.6%
Original
45.8%
Replies
3.9%
Retweets
11.7%
Quotes
0.0%
Threads
0.2%
With Media
39.7%
With Links
8.5%
With #Tags
55.3%
With @Mentions
8.2%
With Emojis
67
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.18
Reply/Original Ratio
2.97
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.3%
Weekday Posts
16.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,206 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 126 retweets (4% 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 3,206 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 10,000 followersThe audience appears to be young adults and coffee enthusiasts who appreciate humor and pop culture references. They are likely active on social media and enjoy engaging with trending topics.
Average
Audience Quality
24.6%
Suspicion Index
30.4%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.2%
Empty Bio
33.1%
<10 Tweets
11.5%
Mass Following (>2K)
0.0%
New (<90 days)
47.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.8%
No URL
24.6%
<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.
8,625,183
Total Potential Reach
25
Median Follower Reach
175
75th Percentile Reach
7.9%
>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).
48.1%
Creators
4,812 accounts
18.8%
Consumers
1,876 accounts
33.1%
Dormant
3,312 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):
197
Verified Followers
1.97% of total
959
Protected Accounts
9.59% of total
4 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 |
|---|---|---|---|
| @SlimJim | 512,372 | Snack Influencer | meat, long boi, champions |
| @TheChrisWoodard | 408,824 | Video Editor | Gamer, NHL fan, Horror movie lover |
| @LZZYHALE | 331,112 | Musician | Music, Rock, Metal |
| @juanblanco76 | 281,626 | Brand Marketer | Brand Marketing, Tennis, Mexican Food |
| @Crazy_ButCute2 | 237,646 | Influencer | Nerdy, dirty, inked |
| @ZeekArkham | 235,362 | - | - |
| @artofmmignola | 198,094 | Comic Artist | Comics, Horror, Illustration |
| @CGasparino | 168,665 | Journalist | God, Country, Pullups |
| @NatashaCL7 | 148,353 | Copywriter | Writing, Psychology, Social Media |
| @ItsJustKaz_ | 141,112 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,379
Followers With Bio
3,621
Followers Without Bio
63.79%
% With Bio
36.21%
% 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 3,206 analyzed76,539
Combined Engagement
2,022
Total Likes
74,517
Total Retweets
15,308
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
RT @hbomax: Gods. Kings. Fire. Blood. @HouseOfDragon is coming to HBO Max in 2022. #HouseoftheDragon https://t.co/16aV66l07i
RT @ScreamMovies: It’s Always Someone You Know. #ScreamMovie – Only in theatres January 14, 2022 https://t.co/NUujkTRlY1
RT @UniversalHorror: Every voice is a victim. Every connection is a clue. Every call is a lifeline. Watch #TheBlackPhone trailer now – in theaters February 4. 🖤 this tweet to receive calls from The Black Phone. https://t.co/LnHyAcnwxa
When your Dad plays that one song he knows on the piano #HalfTimeShow #SuperBowl https://t.co/D7dITx5f3p
Since Instagram and Facebook are down, do we join MySpace again?
Key Insights & Takeaways
The account uses nostalgia and humor to connect with its audience. It often references pop culture and current events to stay relevant. It emphasizes coffee as a central theme, which aligns with its brand identity.
Strengths
- + Established follower base of 111,108
- + 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 @DeathWishCoffee reveals an growing Twitter presence with 111,108 followers. The account demonstrates a conversation-first approach, averaging 70.2 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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