Pascual
Actor 📹 | Web3 Social Marketing | Crypto Investor & NFT Collector | 📩 DM Open for Inquiries & Collabs #ETH #BNB #APTOS
204,175
Followers
27,470
Following
50,029
Tweets
66.6
Avg Engagement
235
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pascualprincipe'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:2013-05-09
- Verification:No
- Location:España
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:13.1
- Avg Retweets per Tweet:53.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has a moderate engagement rate with an average of 622 likes and 239 retweets per tweet. The content is highly focused on promoting NFT drops and crypto projects, which drives interaction.
13.1
Avg Likes/Tweet
53.5
Avg Retweets/Tweet
42,710
Total Likes
173,875
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
1
75th Percentile
52,442
Top Tweet
0.33
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
3.2%
Original
93.9%
Replies
2.6%
Retweets
0.4%
Quotes
0.0%
Threads
0.0%
With Media
18.9%
With Links
3.7%
With #Tags
97.5%
With @Mentions
44.8%
With Emojis
56
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
29.34
Reply/Original Ratio
0.14
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
83.7%
Weekday Posts
16.3%
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 83 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 followersThe audience is primarily interested in NFTs, cryptocurrency, and Web3 technologies. They are likely active in the crypto space and looking for investment opportunities and collaborations.
Average
Audience Quality
24.7%
Suspicion Index
33.8%
Low-Quality %
21
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.1%
Empty Bio
34.5%
<10 Tweets
8.7%
Mass Following (>2K)
0.0%
New (<90 days)
43.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.8%
No URL
21.6%
<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.
61,507,340
Total Potential Reach
21
Median Follower Reach
125
75th Percentile Reach
8.0%
>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).
41.7%
Creators
20,872 accounts
23.7%
Consumers
11,871 accounts
34.5%
Dormant
17,257 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):
1,181
Verified Followers
1.17% of total
10,493
Protected Accounts
10.39% 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 |
|---|---|---|---|
| @BeatsByAssassin | 2,261,966 | Multitalented | Actor, Director, Rapper |
| @MichelPesquera | 1,904,763 | Adventurer | Mountaineer, MTB, Scuba diver |
| @Mega | 1,615,732 | Media | TV, Entretenimiento, Noticias |
| @riccardogems | 1,458,859 | Investor | Crypto, Investing, Marketing |
| @KateMillerGems | 1,257,968 | Crypto Influencer | Crypto, Gaming, Marketing |
| @cryptoprolegend | 1,243,535 | Crypto Trader | Crypto, GEMS, Trading |
| @sofizamolo | 1,124,705 | Model | Fashion, Television, Blogging |
| @Edurnity | 1,084,570 | Singer | - |
| @Karijelinek | 1,002,098 | Modelo | Modelo, Actriz, Influencers |
| @belufrancese | 1,000,611 | Influencer | NFTs, Crypto, Bitcoin |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,280
Followers With Bio
51,716
Followers Without Bio
48.79%
% With Bio
51.21%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed106,010
Combined Engagement
0
Total Likes
106,010
Total Retweets
21,202
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: https://t.co/tTMWOHcUom
RT @elonmusk: We live in the most interesting of times
RT @MetaMarketPay: We are excited to announce the long-awaited launch of our $MMP token sale! To celebrate, we are also kicking off a major…
RT @_hamster_coin: As each day goes by, we draw closer to the #NFT Mint, with only six days remaining. Are we adequately prepared for this…
RT @elonmusk: Periodic reminder to try using Twitter Lists. Will greatly improve your experience.
Key Insights & Takeaways
The account frequently promotes NFT sales and drops, indicating a focus on monetization and community engagement. They use hashtags like #ETH, #BNB, and #APTOS to target specific crypto audiences. The content is highly visual and interactive, encouraging likes, retweets, and direct messages.
Strengths
- + Established follower base of 204,175
- + 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 @pascualprincipe reveals an growing Twitter presence with 204,175 followers. The account demonstrates a conversation-first approach, averaging 66.6 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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