Blue Jeans

Blue Jeans

@FranciscodPaula

Ejército Azul. El de Canciones para Paula, los Incomprendidos, Algo tan sencillo, La chica invisible, El campamento y Chopin. Bético y carmonense.

Madrid-Sevilla https://www.lawebdebluejeans.com/ Joined 2010-04-02 Date of Analysis: Dec 16, 2025

165,765

Followers

11,681

Following

177,898

Tweets

19.6

Avg Engagement

316

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @FranciscodPaula'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:2010-04-02
  • Verification:No
  • Location:Madrid-Sevilla

Data Summary

  • Tweets Analyzed:3,239
  • Avg Likes per Tweet:14.5
  • Avg Retweets per Tweet:5.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,239 tweets

The average engagement per tweet is moderate, with likes and retweets indicating a loyal but not highly interactive audience. The top tweets often include book announcements and personal updates.

14.5

Avg Likes/Tweet

5.1

Avg Retweets/Tweet

46,958

Total Likes

16,610

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

7

75th Percentile

2,976

Top Tweet

0.12

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

16.4%

Original

57.8%

Replies

23.6%

Retweets

2.2%

Quotes

0.0%

Threads

0.0%

With Media

11.9%

With Links

10.0%

With #Tags

85.1%

With @Mentions

16.5%

With Emojis

93

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.52

Reply/Original Ratio

0.09

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

79.3%

Weekday Posts

20.7%

Weekend Posts

Top Hashtags

#lachicainvisible (113) #lachicainvisibledisneyplus (78) #nuevanoveladeblue (12) #disneyplus (9) #santjordi (5) #zoestein (5) #laúltimamelodíadechopin (5) #bluejeans (5) #loscrímenesdechopin (4) #dormiresdecobardes (4)

Most Mentioned

@disneypluses (309) @franciscodpaula (271) @planetadelibros (200) @edit_planeta (187) @morenafilms (180) @booket_planeta (93) @planeta_audio_ (87) @danielgrao7 (71) @martauve_ (59) @ansy1997 (47)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,239 tweets

Content Type Distribution

Content Breakdown

Original Tweets 532 (16%)
Replies 1,873 (58%)
Retweets 763 (24%)
Quote Tweets 71 (2%)

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 763 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 3,239 tweets

Engagement 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 followers

The audience is primarily interested in literature, storytelling, and creative writing. They are likely book lovers and followers of Spanish culture and media.

Average

Audience Quality

29.5%

Suspicion Index

42.0%

Low-Quality %

6

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

49.8%

Empty Bio

45.0%

<10 Tweets

4.0%

Mass Following (>2K)

0.0%

New (<90 days)

58.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

89.2%

No URL

34.2%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

39,178,453

Total Potential Reach

6

Median Follower Reach

66

75th Percentile Reach

3.7%

>1K followers

0.6%

>10K followers

0.2%

>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).

38.1%

Creators

19,048 accounts

16.9%

Consumers

8,436 accounts

45.0%

Dormant

22,516 accounts

52

Verified Followers

0.1% of total

3.4%

Professional Bios

founder, dev, analyst, etc.

0.06

Median Follow Ratio

follower/following

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):

España (523) Madrid, Comunidad de Madrid (488) Spain (431) Lima, Peru (331) Barcelona, Spain (256) Barcelona, España (235) Madrid (230) Sevilla, España (197) Madrid, Spain (186) Peru (175)

66

Verified Followers

0.07% of total

7,305

Protected Accounts

7.31% 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
@SSantiagosegura 3,257,446 Actor Comedy, Film, Director
@C1audioBravo 2,142,435 Footballer Football, Humility, Loyalty
@QueLeer 1,946,883 Book Promotion Libros, Lectores, Club de Lectura
@miguelhotero 1,929,850 Journalist Politics, Journalism, Leadership
@20m 1,506,396 News Outlet Not provided.
@antena3com 1,470,342 Media TV, noticias, entretenimiento
@Aitanax 866,002 Singer Music, Fashion, Travel
@MasterChef_es 804,557 Chef cooking, television, competition
@navedelmisterio 738,888 Investigador Misterio, Entusiasmo, Alma de niño
@laorejadevgogh 678,095 Musical Band Music, Band, Official

Top Keywords in Follower Bios

vida (2,150) musica (2,114) libros (1,468) escritores (1,125) amante (1,072) gusta (982) mundo (941) ciencia (920) tecnologia (876) instagram (871)

Top Hashtags in Follower Bios

#libros (50) #escritora (29) #wattpad (27) #disen (21) #cine (19) #marketing (18) #literatura (17) #cultura (16) #bts (15) #1 (14)

44,849

Followers With Bio

55,151

Followers Without Bio

44.85%

% With Bio

55.15%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,239 analyzed

9,404

Combined Engagement

1,585

Total Likes

7,819

Total Retweets

1,881

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Literature Storytelling Creative Writing Spanish Culture Book Promotions Personal Reflections

Key Insights & Takeaways

The account frequently promotes book releases and creative projects, which likely drive engagement. The content often includes personal reflections and storytelling, which resonate with the audience. The use of Spanish cultural references and media mentions helps connect with the target demographic.

Strengths

  • + Established follower base of 165,765
  • + 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 @FranciscodPaula reveals an growing Twitter presence with 165,765 followers. The account demonstrates a conversation-first approach, averaging 19.6 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025