Raphael Maitimo

Raphael Maitimo

@raphaelmaitimo

Welcome to the official Twitter page of Raphael Maitimo.

Rotterdam, The Netherlands https://t.co/2qGbpp7veF Joined 2010-02-27 Date of Analysis: Dec 16, 2025

624,917

Followers

413

Following

3,034

Tweets

340.3

Avg Engagement

80

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @raphaelmaitimo'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:2010-02-27
  • Verification:No
  • Location:Rotterdam, The Netherlands

Data Summary

  • Tweets Analyzed:2,969
  • Avg Likes per Tweet:14.0
  • Avg Retweets per Tweet:326.3
  • Followers Analyzed:50,000

Engagement Analysis

Based on 2,969 tweets

The account maintains a high level of engagement, with consistent likes and retweets, indicating a dedicated and responsive audience. The use of hashtags and links to social media content likely contributes to this engagement.

14.0

Avg Likes/Tweet

326.3

Avg Retweets/Tweet

41,557

Total Likes

968,851

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

4

Median Retweets

25

75th Percentile

221,108

Top Tweet

0.54

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

54.1%

Original

11.3%

Replies

32.1%

Retweets

2.5%

Quotes

0.0%

Threads

1.3%

With Media

58.4%

With Links

30.7%

With #Tags

64.8%

With @Mentions

11.5%

With Emojis

96

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.21

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.3%

Weekday Posts

29.7%

Weekend Posts

Top Hashtags

#timnas (73) #indonesia (36) #bethedifference (31) #raphaelmaitimo (28) #ea7 (24) #mitrakukar (24) #maitimo (23) #guepersija (20) #isl (18) #ayoindonesiabisa (17)

Most Mentioned

@raphaelmaitimo (514) @adidasindonesia (63) @serginhovandijk (62) @persib (44) @mitramania (41) @goal_id (39) @k_adelmund (39) @aremafcofficial (36) @ricardodanning (35) @persie_official (34)

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Content Strategy Analysis

Based on 2,969 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,606 (54%)
Replies 336 (11%)
Retweets 953 (32%)
Quote Tweets 74 (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 953 retweets (32% 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 2,969 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 appears to be primarily football fans, especially supporters of Persib, given the frequent use of team-related hashtags and mentions. The engagement suggests a loyal and active fan base.

Below Average

Audience Quality

47.7%

Suspicion Index

73.5%

Low-Quality %

1

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

74.8%

Empty Bio

84.1%

<10 Tweets

0.9%

Mass Following (>2K)

0.0%

New (<90 days)

91.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

98.2%

No URL

72.3%

<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.

12,466,526

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).

5.8%

Creators

2,881 accounts

10.2%

Consumers

5,088 accounts

84.1%

Dormant

42,031 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 (872) Jakarta Capital Region (333) Bandung, Jawa Barat (260) Kota Surabaya, Jawa Timur (231) Yogyakarta, Indonesia (165) Kota Bandung, Jawa Barat (146) Jakarta (114) West Java, Indonesia (113) Jakarta Barat, DKI Jakarta (112) East Java, Indonesia (91)

9

Verified Followers

0.01% of total

2,755

Protected Accounts

2.73% of total

5 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
@Persie_Official 9,269,391 Footballer Football, Contact, Management
@ariffsuyono 905,844 Unknown Islam, Faith, Afterlife
@persebayaupdate 504,324 Football Club Football, Surabaya, East Java
@er2vairy 266,445 Influencer kesepian, temenin, flaws
@RTV_Rijnmond 208,154 News broadcaster News, Radio, TV
@sepakbola33 132,471 Sports Journalist Football, News, Updates
@FootbaIlBibIe 128,047 Football Content Creator Football, Videos, Vines
@PSIMJOGJA 80,533 Football Club Football, Club, Mataram
@DeepakNandaVC 78,400 Venture Capitalist Tech, Entrepreneur
@MaduraUnitedFC 65,928 Football Club Football, Madura United, Management Team

Top Keywords in Follower Bios

olahraga (1,486) yang (876) hidup (702) yg (633) wa (490) ig (429) hiburan (426) musik (425) keluarga (418) orang (416)

Top Hashtags in Follower Bios

#persibapps (6) #ggmu (5) #persib (5) #persebayafans (5) #halamadrid (4) #followback (4) #satuaremaligasatu (4) #coyg (3) #mufc (3) #bobotoh (3)

22,902

Followers With Bio

78,083

Followers Without Bio

22.68%

% With Bio

77.32%

% 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 2,969 analyzed

642,955

Combined Engagement

0

Total Likes

642,955

Total Retweets

128,591

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Sports Football Team Support Fan Engagement Community Building

Key Insights & Takeaways

The account is heavily focused on sports, particularly football, with a strong emphasis on team support and fan interaction. The use of hashtags like #BravoPersib and #MaungTimo suggests a strong brand identity and community around the team. The frequent mentions of players and fans indicate a desire to foster a sense of unity and shared experience among followers.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 624,917
  • + 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 @raphaelmaitimo reveals an well-established Twitter presence with 624,917 followers. The account demonstrates a content-creator strategy, averaging 340.3 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