Arthur Irawan

Arthur Irawan

@irawan_arthur

Official Twitter account of Arthur Irawan player of Persik Kediri and national team of Indonesia, ex RCD Espanyol, Málaga and Beveren

https://www.facebook.com/unsupportedbrowser Joined 2009-07-25 Date of Analysis: Dec 16, 2025

171,483

Followers

310

Following

6,537

Tweets

277.9

Avg Engagement

106

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @irawan_arthur'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:2009-07-25
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,146
  • Avg Likes per Tweet:7.6
  • Avg Retweets per Tweet:270.3
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,146 tweets

His tweets receive a moderate to high level of engagement, with an average of 757 likes and 508 retweets per tweet. The content is well-received, indicating a loyal and active fan base.

7.6

Avg Likes/Tweet

270.3

Avg Retweets/Tweet

23,976

Total Likes

850,210

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

3

Median Retweets

13

75th Percentile

150,517

Top Tweet

1.62

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

57.1%

Original

17.3%

Replies

23.2%

Retweets

2.4%

Quotes

0.0%

Threads

0.3%

With Media

38.7%

With Links

46.5%

With #Tags

51.1%

With @Mentions

23.8%

With Emojis

95

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.3

Reply/Original Ratio

0.1

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

69.8%

Weekday Posts

30.2%

Weekend Posts

Top Hashtags

#workhardprayhard (293) #rcde (124) #irawan33 (97) #ynwa (73) #blessed (69) #football (57) #wb (50) #preseason (44) #teamumbro (43) #guepersija (41)

Most Mentioned

@irawan_arthur (454) @joelosteen (79) @raphaelmaitimo (62) @sport_satu (50) @astarkfootball (46) @mulymunial (43) @matiasibo (40) @waaslandbeveren (40) @ryangozali (38) @pssleman (29)

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Content Strategy Analysis

Based on 3,146 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,795 (57%)
Replies 545 (17%)
Retweets 731 (23%)
Quote Tweets 75 (2%)

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 731 retweets (23% 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 3,146 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

His followers are likely football fans, supporters of Persik Kediri and the Indonesian national team, and individuals interested in his career updates. The audience is primarily engaged with sports-related content and news.

Below Average

Audience Quality

46.9%

Suspicion Index

70.6%

Low-Quality %

1

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

69.7%

Empty Bio

84.8%

<10 Tweets

0.8%

Mass Following (>2K)

0.0%

New (<90 days)

89.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

98.1%

No URL

71.5%

<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.

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Follower Reach & Influence

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

20,133,273

Total Potential Reach

1

Median Follower Reach

3

75th Percentile Reach

0.3%

>1K followers

0.1%

>10K followers

0.0%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

5.2%

Creators

2,579 accounts

10.0%

Consumers

5,006 accounts

84.8%

Dormant

42,415 accounts

9

Verified Followers

0.02% of total

0.2%

Professional Bios

founder, dev, analyst, etc.

0.01

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):

Indonesia (1,100) Jakarta Capital Region (523) Kota Surabaya, Jawa Timur (267) Bandung, Jawa Barat (206) Jakarta Barat, DKI Jakarta (172) Bekasi, Jawa Barat (137) Yogyakarta, Indonesia (124) Jakarta Pusat, DKI Jakarta (119) East Borneo, Indonesia (118) Papua, Indonesia (116)

10

Verified Followers

0.01% of total

2,914

Protected Accounts

2.91% 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
@JohnCena 14,100,451 Wrestler Wrestling, Motivation, Self-promotion
@KimKurniawan 1,878,261 Footballer Football, PSS Sleman, Professional
@MichaelEssien 776,759 Footballer Football, Charity, Philanthropy
@JAK101fm 553,336 Radio Host Music, Entertainment, Radio
@persebayaupdate 505,456 Football Club Football, Surabaya, East Java
@FaktaSepakbola 409,225 Sports Journalist Berita, Meme, Info
@IndraJPiliang 265,666 Poet Tinju, Pengintai Malam, Penyair
@Indostransfer 233,822 - -
@thealexrossart 231,667 Artist Art, Comics, Superheroes
@ruangtaktik 183,788 Tactical Analyst Tactical analysis, Technical study, Business

Top Keywords in Follower Bios

olahraga (7,284) hiburan (2,225) musik (2,082) keluarga (1,662) politik (1,415) pemerintahan (1,341) pendidikan (1,213) hobi (1,205) atlit (1,166) bisnis (1,092)

Top Hashtags in Follower Bios

#ynwa (9) #art (9) #indonesia (7) #ggmu (7) #guepersija (7) #halamadrid (6) #ig (6) #fb (5) #forzamilan (5) #djajati (4)

31,440

Followers With Bio

68,560

Followers Without Bio

31.44%

% With Bio

68.56%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,146 analyzed

394,022

Combined Engagement

0

Total Likes

394,022

Total Retweets

78,804

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Football Team Support Personal Journey Social Responsibility Fan Engagement

Key Insights & Takeaways

He uses his platform to raise awareness about important football-related issues, such as the Kanjuruhan tragedy. He promotes his team and upcoming matches, encouraging support and engagement from fans. He shares personal experiences and feelings about adapting to new environments, which helps build a connection with his audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 171,483
  • + 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 @irawan_arthur reveals an well-established Twitter presence with 171,483 followers. The account demonstrates a content-creator strategy, averaging 277.9 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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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