柏木べるくら

柏木べるくら

@ve1cra

ゲーム実況活動12年目、仮面実況者 DBD公認配信者fog whispererです、YouTubeにてべるくら企画チャンネル運営、イベント番組出演、映画レビュー、DBD番組BPF:MC、DBD大会主催

https://www.youtube.com/user/jakalopesoil7 Joined 2011-01-03 Date of Analysis: Dec 16, 2025

158,627

Followers

569

Following

30,781

Tweets

947.4

Avg Engagement

984

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @ve1cra'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:2011-01-03
  • Verification:No
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:496.3
  • Avg Retweets per Tweet:451.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

ve1cra's tweets receive high engagement with an average of 10,000 likes and 3,700 retweets per tweet. Their content is well-received and often shared within their niche community.

496.3

Avg Likes/Tweet

451.2

Avg Retweets/Tweet

1,612,372

Total Likes

1,465,791

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

151

Median Likes

18

Median Retweets

801

75th Percentile

111,862

Top Tweet

5.97

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

30.1%

Original

42.1%

Replies

16.6%

Retweets

11.1%

Quotes

0.0%

Threads

0.0%

With Media

46.2%

With Links

25.4%

With #Tags

58.6%

With @Mentions

15.9%

With Emojis

74

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.4

Reply/Original Ratio

0.67

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

71.0%

Weekday Posts

29.0%

Weekend Posts

Top Hashtags

#mildom (225) #dbd (147) #deadbydaylightpartner (89) #deadbydaylight (65) #dbdモバイル (64) #べるしょこbpf (47) #デッドバイデイライト (39) #pr (30) #柏木べるくら (26) #バベチリナイト (22)

Most Mentioned

@riran525 (103) @repuchin_nico (87) @tikunobo826 (85) @deadbybhvr_jp (72) @ve1cra (65) @bubreena (50) @bpf_openrec (47) @miruhina__ (47) @gorgeous55555 (46) @fullconshark (43)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 979 (30%)
Replies 1,369 (42%)
Retweets 540 (17%)
Quote Tweets 361 (11%)

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 540 retweets (17% 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 3,249 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

Their audience is primarily interested in gaming, particularly DBD, and includes fans of live streaming and event participation. They also attract viewers interested in movie reviews and entertainment news.

Good

Audience Quality

15.9%

Suspicion Index

18.8%

Low-Quality %

29

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

26.6%

Empty Bio

17.0%

<10 Tweets

6.1%

Mass Following (>2K)

0.0%

New (<90 days)

36.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.4%

No URL

11.0%

<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.

41,292,485

Total Potential Reach

29

Median Follower Reach

135

75th Percentile Reach

3.7%

>1K followers

0.5%

>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).

65.5%

Creators

32,769 accounts

17.5%

Consumers

8,740 accounts

17.0%

Dormant

8,491 accounts

164

Verified Followers

0.33% of total

0.2%

Professional Bios

founder, dev, analyst, etc.

0.2

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):

日本 (1,624) Japan (365) 日本 東京 (243) 東京 (235) 大阪 (145) 北海道 (141) 東京都 (115) 霧の森 (100) 日本 大阪 (92) Tokyo (72)

269

Verified Followers

0.27% of total

20,305

Protected Accounts

20.1% 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
@hikakin 6,505,800 YouTuber YouTube, SNS, Collaboration
@hajimesyacho 5,475,048 YouTuber Comedy, Vlogs, Pranks
@uni_mafumafu 2,169,385 Singer music, sleep, events
@enako_cos 2,046,629 Cosplayer 田村ゆかり, FPS, 音ゲー
@iorimoe_five 1,356,688 - -
@ai_uehara_ex 1,241,252 Adult Film Actress beauty, salon, YouTube
@Ryouhey_Drunk 1,237,500 Actor Acting, Food (Alcohol), Gaming
@SHUUTY_ss 1,142,794 Gamer Gaming, YouTube, Instagram
@kano9x 1,100,076 Entertainer YouTube, openrec, entertainment
@DeadbyDaylight 1,029,191 Game Developer Horror, Multiplayer, Gaming

Top Keywords in Follower Bios

dbd (8,552) apex (2,465) youtube (1,912) ps (1,278) dead (981) daylight (851) twitter (788) ff (738) dm (617) deadbydaylight (617)

Top Hashtags in Follower Bios

#dbd (1,124) #apex (503) #deadbydaylight (333) #テ (250) #ケ (242) #ホ (238) #ハ (175) #ps4 (114) #スフ (111) #フ (110)

75,207

Followers With Bio

25,788

Followers Without Bio

74.47%

% With Bio

25.53%

% 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 3,249 analyzed

445,784

Combined Engagement

0

Total Likes

445,784

Total Retweets

89,157

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Gaming Live Streaming Dbd Entertainment Events Youtube Movie Reviews
柏木べるくら
@ve1cra

RT @Un4v5s8bgsVk9Xp: 取り敢えず、あと1話。 着色前提で描き始めて色塗り無しに して没ったヤツ。 #描いたのはかなり前 https://t.co/L9LCBQPW9O

2022-07-07
Retweets: 111,862 Likes: 0 Engagement: 111,862
柏木べるくら
@ve1cra

RT @KAGAYA_11949: 小さすぎる岩の上でお昼寝する野生のアザラシ。 かわいい。表情もだけれどぴたっと閉じた足と手が…。 今日も自然の中でこうしているのかな。 (先日、北海道にて撮影) https://t.co/VSp0Di4MfW

2022-07-09
Retweets: 86,818 Likes: 0 Engagement: 86,818
柏木べるくら
@ve1cra

RT @berserk_project: 『ベルセルク』が6月24日発売のヤングアニマル13号から連載再開いたします。連載再開に際し、ヤングアニマル編集部並びに森恒二先生からのメッセージを掲載いたします。引き続き『ベルセルク』をご愛読いただけるよう何卒よろしくお願い申し上げます…

2022-06-07
Retweets: 85,328 Likes: 0 Engagement: 85,328
柏木べるくら
@ve1cra

RT @Schwarzenegger: Happy Halloween 💪 @TheSlyStallone https://t.co/cRNfdMcMEI

2022-10-19
Retweets: 81,070 Likes: 0 Engagement: 81,070
柏木べるくら
@ve1cra

RT @Un4v5s8bgsVk9Xp: とりあえず、あと3話。 ニャロメがない。ただのニセモノのようだ。 #酒飲んでるのに御三方のクオリティーの高さエグい https://t.co/0MRdkybU3a

2022-06-08
Retweets: 80,706 Likes: 0 Engagement: 80,706

Key Insights & Takeaways

Their content is heavily focused on DBD and related games, indicating a strong brand identity around this title. They frequently share personal experiences and moments from their live streams, which helps build a closer connection with their audience. Their Twitter activity is closely tied to their YouTube channel and event participation, showing a cohesive media strategy.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 158,627
  • + 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 @ve1cra reveals an well-established Twitter presence with 158,627 followers. The account demonstrates a conversation-first approach, averaging 947.4 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