Diego Papic
Periodista. Editor en @RevistaSeul. Ho capito che non si deve dire mai la verità.
84,189
Followers
5,468
Following
201,390
Tweets
549.0
Avg Engagement
597
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @dieguez_'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:2008-01-04
- Verification:No
- Location:Palermo de Buenos Aires
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:51.3
- Avg Retweets per Tweet:497.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,229 tweetsDieguez_ tweets receive an average of 7,585 likes and 912 retweets, indicating a highly engaged audience. Their content is often shared and discussed within their community.
51.3
Avg Likes/Tweet
497.7
Avg Retweets/Tweet
165,564
Total Likes
1,607,143
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
1
Median Retweets
48
75th Percentile
153,942
Top Tweet
6.52
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
21.8%
Original
43.3%
Replies
20.5%
Retweets
14.4%
Quotes
0.0%
Threads
0.1%
With Media
44.4%
With Links
2.4%
With #Tags
60.8%
With @Mentions
4.4%
With Emojis
91
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.99
Reply/Original Ratio
0.7
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.0%
Weekday Posts
26.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 662 retweets (21% 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 3,229 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 primarily consists of interested readers and followers of news and commentary. They are likely engaged with current events and social issues.
Average
Audience Quality
20.4%
Suspicion Index
22.7%
Low-Quality %
130
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.6%
Empty Bio
12.1%
<10 Tweets
22.4%
Mass Following (>2K)
0.0%
New (<90 days)
37.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.0%
No URL
7.8%
<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.
21,630,670
Total Potential Reach
130
Median Follower Reach
495
75th Percentile Reach
14.8%
>1K followers
1.5%
>10K followers
0.4%
>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).
75.5%
Creators
7,550 accounts
12.4%
Consumers
1,239 accounts
12.1%
Dormant
1,211 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):
58
Verified Followers
0.58% of total
703
Protected Accounts
7.03% of total
6 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4,370,250 | - | - |
| @DanielSamperO | 3,189,013 | Columnista | Columnista, Youtuber, Comediante |
| @1pcornwell | 1,181,187 | Author | crime, mystery, writing |
| @Baddiel | 882,698 | Comedian | Comedy, Writing, Football |
| @Matador000 | 488,244 | Caricaturist | Caricatures, Art, Humor |
| @gonzaloherediao | 486,438 | Writer | writing, literature, construction |
| @Lautiroman1995 | 286,027 | - | - |
| @princeespromos_ | 285,678 | - | - |
| @Claire | 282,005 | Venture Capitalist | VC, author, mama |
| @elgourmet | 226,787 | Chef | Food, Cooking, Lifestyle |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,239
Followers With Bio
3,761
Followers Without Bio
62.39%
% With Bio
37.61%
% 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 3,229 analyzed497,765
Combined Engagement
0
Total Likes
497,765
Total Retweets
99,553
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @StephenKing: Hey, kids! It's your old buddy Steve King telling you that if they ban a book in your school, haul your ass to the nearest bookstore or library ASAP and find out what they don't want you to read.
RT @shakira: Today at the final of the World Cup, I only hope the players on the field and the whole world remembers that there’s a man and fellow footballer called Amir Nasr, on death row, only for speaking in favor of Women’s rights. https://t.co/VdMicGVaml
RT @Scaredmess: Love is officially dead https://t.co/Vd4C9CANvn https://t.co/OaVgFXnrv2
RT @brfootball: The 2022 World Cup will never be forgotten 🎉 https://t.co/UhXYQYX85s
RT @fagfetchd: Shakira inside the jam jar investigating how much was missing https://t.co/fUGouZEgm2
Key Insights & Takeaways
Their content often blends journalism with personal commentary, creating a unique voice. They frequently engage with followers through direct replies and discussions. Their use of verified sources and real-time events helps maintain credibility and relevance.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84,189
- + 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 @dieguez_ reveals an well-established Twitter presence with 84,189 followers. The account demonstrates a conversation-first approach, averaging 549.0 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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