267,604
Followers
1,223
Following
74,640
Tweets
143.3
Avg Engagement
5,502
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pourmecoffee'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:2008-10-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:85.7
- Avg Retweets per Tweet:57.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsTheir tweets receive an average of 3,917 likes and 430 retweets, showing a high level of audience interaction. The engagement suggests their content resonates with a broad audience.
85.7
Avg Likes/Tweet
57.5
Avg Retweets/Tweet
278,673
Total Likes
186,907
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
3
Median Retweets
91
75th Percentile
34,334
Top Tweet
0.54
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
26.8%
Original
49.0%
Replies
2.8%
Retweets
21.4%
Quotes
0.0%
Threads
1.4%
With Media
55.8%
With Links
0.6%
With #Tags
22.5%
With @Mentions
0.7%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.83
Reply/Original Ratio
7.64
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76.0%
Weekday Posts
24.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 91 retweets (3% 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 3,250 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 followersTheir audience likely includes politically engaged individuals and followers of current events. The content appeals to those interested in politics and public discourse.
Average
Audience Quality
24.2%
Suspicion Index
28.9%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.0%
Empty Bio
27.0%
<10 Tweets
12.2%
Mass Following (>2K)
0.0%
New (<90 days)
50.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
18.9%
<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.
58,140,924
Total Potential Reach
30
Median Follower Reach
160
75th Percentile Reach
7.0%
>1K followers
1.1%
>10K followers
0.3%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
53.3%
Creators
26,651 accounts
19.7%
Consumers
9,826 accounts
27.0%
Dormant
13,523 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):
500
Verified Followers
0.5% of total
15,209
Protected Accounts
15.06% 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 | 14,102,079 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AOC | 13,427,633 | Politician | politics, social justice, equality |
| @hrw | 5,085,887 | Human Rights | Human Rights, Abuses, Advocacy |
| @navalny | 2,977,393 | Politician | corruption, politics, future |
| @sarahcpr | 2,112,990 | Comedian | comedy, author, speaker |
| @6BillionPeople | 2,035,237 | - | - |
| @sacca | 1,636,545 | Investor | family, Shark Tank, sustainability |
| @sharmilafaruqi | 1,346,925 | Politician | Politics, Member Sindh Assembly, Columnist |
| @JDaIey | 1,229,714 | - | - |
| @digg | 1,213,394 | Curator | Curating, Internet, Chaos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,362
Followers With Bio
38,637
Followers Without Bio
61.75%
% With Bio
38.25%
% 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 3,250 analyzed125,859
Combined Engagement
31,124
Total Likes
94,735
Total Retweets
25,172
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
0%
With Links
Topical Analysis:
RT @GSchnakenberg: While working in our archives, I found an old metal box. Inside was a long-forgotten roll of silent 8mm film marked "The…
Santos votes for McCarthy, "who fought by my side on D-Day at Normandy."
RT @HamlinIsland: OMFG!!!!!!!!!!!!!
RT @MegaDarren: Just learned that Dutch scientists left a hamster wheel outside in 2014 and saw that tons of wild mice used it just for fun…
RT @jamie_raskin: Look what I received from one of the greatest musicians on earth, a gift I will treasure almost as much as his song “I am…
Key Insights & Takeaways
The user frequently comments on political events and public figures, indicating a strong interest in current affairs. Their tweets often include references to historical events, suggesting a blend of nostalgia and political commentary. They use a mix of humor and serious tones, which may help in maintaining audience interest and engagement.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 267,604
- + 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 @pourmecoffee reveals an well-established Twitter presence with 267,604 followers. The account demonstrates a conversation-first approach, averaging 143.3 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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