Nicolas Artusi
Periodista. Sommelier de café. Conversador.
79,074
Followers
2,950
Following
38,421
Tweets
70.7
Avg Engagement
367
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sommelierdecafe'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:2009-10-08
- Verification:No
- Location:Buenos Aires, ARG
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:29.4
- Avg Retweets per Tweet:41.3
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,248 tweetsThe account has a high average engagement rate, with likes and retweets indicating a loyal and active follower base.
29.4
Avg Likes/Tweet
41.3
Avg Retweets/Tweet
95,476
Total Likes
134,001
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
1
Median Retweets
11
75th Percentile
16,353
Top Tweet
0.89
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
45.8%
Original
27.0%
Replies
23.7%
Retweets
3.5%
Quotes
0.0%
Threads
0.0%
With Media
76.4%
With Links
32.9%
With #Tags
51.2%
With @Mentions
13.5%
With Emojis
103
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.59
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.5%
Weekday Posts
22.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 770 retweets (24% 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 3,248 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 9,998 followersThe audience appears to be interested in news, coffee culture, and social commentary, likely spanning a broad demographic.
Average
Audience Quality
21.4%
Suspicion Index
25.9%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
18.7%
<10 Tweets
13.3%
Mass Following (>2K)
0.0%
New (<90 days)
45.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.3%
No URL
12.7%
<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.
27,803,768
Total Potential Reach
66
Median Follower Reach
254
75th Percentile Reach
8.7%
>1K followers
1.7%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
64.8%
Creators
6,476 accounts
16.5%
Consumers
1,653 accounts
18.7%
Dormant
1,869 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):
40
Verified Followers
0.4% of total
1,005
Protected Accounts
10.05% 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 | 14,097,475 | Wrestler | Wrestling, Motivation, Self-promotion |
| @HBOLAT | 909,107 | Entertainment | Emmys, Dragones, Zendaya |
| @MarcelaFeudale | 658,568 | Radio Host | Music, Radio, Podcasts |
| @genteonline | 596,304 | Magazine | Celebridades, Entretenimiento, Moda |
| @GiovanniCiccia | 365,722 | Actor | Actor, director, producer, VinylCollector, Chabelo |
| @lajeantonio | 329,795 | - | - |
| @gabicerru | 302,311 | - | - |
| @MTVSur | 297,748 | Entertainment | Pop culture, Music, MTV Unplugged |
| @AnagramaEditor | 218,035 | Publisher | literatura, clásicos, debates |
| @CelePistan | 207,798 | Influencer | Argentina, Mate, Salta |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,080
Followers With Bio
3,920
Followers Without Bio
60.8%
% With Bio
39.2%
% 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 3,248 analyzed67,058
Combined Engagement
36,812
Total Likes
30,246
Total Retweets
13,412
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
RT @year_progress: ░░░░░░░░░░░░░░░ 0%
Hoy: la temperatura más baja para el mes de febrero desde 1961. El domingo: la temperatura más alta para el mes de febrero desde 1961.
Hoy es el día en el que nos íbamos a quedar sin café. https://t.co/Zjv8V3dnnd
Y recuerden: no hace falta opinar de todo.
RT @year_progress: ▓▓▓▓▓▓▓▓░░░░░░░ 50%
Key Insights & Takeaways
The user frequently shares impactful news and weather-related updates, which likely drive engagement. Content about coffee and its importance resonates well with the audience. The emphasis on thoughtful reflection and not needing to comment on everything suggests a focus on meaningful interaction.
Strengths
- + Established follower base of 79,074
- + 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 @sommelierdecafe reveals an growing Twitter presence with 79,074 followers. The account demonstrates a content-creator strategy, averaging 70.7 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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