Blockchain.com

Blockchain.com

@blockchain

Buy, sell, swap, hold, earn, and trade crypto. Trusted by 80M+ in 200 countries since 2011. For support: @AskBlockchain TG: @ https://t.me/Blockchain

global https://www.blockchain.com/ Joined 2010-03-22 Date of Analysis: Dez 16, 2025

1.344.206

Followers

24

Following

12.612

Tweets

145,6

Avg Engagement

9.427

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines blockchain'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: Mega Influencer (1M+)
  • Account Age:2010-03-22
  • Verification:Yes
  • Location:global

Data Summary

  • Tweets Analyzed:3.247
  • Avg Likes per Tweet:58,3
  • Avg Retweets per Tweet:87,2
  • Followers Analyzed:50.000
  • Following Analyzed:25

Engagement Analysis

Based on 3.247 tweets

The account maintains a consistent level of engagement with its audience, indicating a loyal following. The average likes and retweets suggest a balance between informative and promotional content.

58,3

Avg Likes/Tweet

87,2

Avg Retweets/Tweet

189.407

Total Likes

283.272

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

27

Median Likes

105

Median Retweets

168

75th Percentile

3.727

Top Tweet

0,11

Engagement per 1K Followers

Normalized influence metric

Long Tail

Engagement Pattern

Mix of hits and regular posts

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

45,6%

Original

34,9%

Replies

15,0%

Retweets

4,4%

Quotes

0,0%

Threads

0,2%

With Media

58,6%

With Links

25,0%

With #Tags

45,9%

With @Mentions

42,3%

With Emojis

132

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0,76

Reply/Original Ratio

0,3

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

89,0%

Weekday Posts

11,0%

Weekend Posts

Top Hashtags

#bitcoin (255) #crypto (143) #ethereum (64) #defi (62) #btc (22) #eth (21) #dallascowboys (14) #marketmovers (12) #cryptocurrency (11) #gameday (11)

Most Mentioned

@blockchain (215) @onemorepeter (106) @garrickhileman (103) @askblockchain (98) @niccary (87) @dallascowboys (47) @unstoppableweb (40) @jasonkarsh (28) @kasselman (26) @emergeamericas (19)

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Content Strategy Analysis

Based on 3.247 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1.482 (46%)
Replies 1.133 (35%)
Retweets 488 (15%)
Quote Tweets 144 (4%)

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 488 retweets (15% 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 3.247 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 cryptocurrency and blockchain technology, with a global presence across 200 countries. The followers likely include investors, traders, and enthusiasts looking for updates and insights.

Average

Audience Quality

30,1%

Suspicion Index

70,4%

Low-Quality %

23

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

40,8%

Empty Bio

100,0%

<10 Tweets

0,0%

Mass Following (>2K)

0,0%

New (<90 days)

0,0%

Low Ratio (<0.1)

0,0%

New (<180 days)

80,4%

No URL

100,0%

<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.

28.747.635

Total Potential Reach

23

Median Follower Reach

98

75th Percentile Reach

4,3%

>1K followers

0,5%

>10K followers

0,1%

>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).

0,0%

Creators

0 accounts

0,0%

Consumers

0 accounts

100,0%

Dormant

50.000 accounts

46

Verified Followers

0,09% of total

9,4%

Professional Bios

founder, dev, analyst, etc.

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):

United States (471) Lagos, Nigeria (270) Nigeria (258) London, England (245) India (232) Dhaka, Bangladesh (199) California, USA (161) Los Angeles, CA (156) United Kingdom (140) Indonesia (135)

2.014

Verified Followers

0.15% of total

104.735

Protected Accounts

7.8% of total

5.7 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
@iamwill 12.014.882 Musician music, technology, innovation
@Amradib 5.021.324 Journalist Politics, News, Optimism
@verified 4.016.025 - -
@scooterbraun 3.665.828 Music Manager Music, Philanthropy, Entertainment
@DezBryant 3.502.679 Athlete Athlete, Founder, #ThrowUpTheX
@lopezandres 3.380.229 Comedian Comedy, Writing, Performing
@justinsuntron 3.361.434 Entrepreneur Cryptocurrency, Blockchain, Technology
@MCHammer 3.226.689 Filmmaker #Dubnation, #RaiderNation, #FilmMaker
@soundaryaarajni 3.003.763 Director Movies, Technology, Philanthropy
@CoinDesk 2.933.396 Cryptocurrency News Cryptocurrency, Markets, Data

Top Keywords in Follower Bios

crypto (68.172) bitcoin (43.552) blockchain (31.339) love (22.479) life (22.336) enthusiast (18.955) cryptocurrency (17.654) trader (16.937) business (16.442) nft (16.000)

Top Hashtags in Follower Bios

#bitcoin (27.006) #crypto (10.590) #blockchain (9.149) #btc (8.783) #nft (5.689) #eth (5.129) #cryptocurrency (4.717) #ethereum (3.273) #bnb (2.902) #defi (2.560)

756.092

Followers With Bio

586.708

Followers Without Bio

56.31%

% With Bio

43.69%

% 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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Buy Tweet Data

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Viral Tweets

Top 5 by likes+RTs from 3.247 analyzed

12.845

Combined Engagement

10.205

Total Likes

2.640

Total Retweets

2.569

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

40%

With Links

Topical Analysis:

Cryptocurrency Blockchain Technology Marketing Partnerships Memes Engagement Trust

Network & Following Analysis

Based on 25 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

0,0%

Verified Accounts

0,0%

High Authority (>50K)

60,0%

Dormant Accounts

24,0%

Low Quality

4

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

88,0%

Individuals

22 accounts

8,0%

Brands/Orgs

2 accounts

4,0%

Media/News

1 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Bram 173 - -
@ Lars 108 - -
@ Munira derydery 75 - -
@ Abhishek Sehariya 71 - -
@ Ola 42 - -
@ Unblock DAPPS 42 - -
@ LWeaver 35 - -
@ High Dimensional Space International 10 - -
@ Val Mag 10 - -
@ ArmelaGj 10 - -

Key Insights & Takeaways

The account frequently references popular figures like Elon Musk, which may drive attention and engagement. It highlights partnerships and collaborations, such as with Coinbase, to build credibility and trust. The use of memes and trending topics, like Shiba Inu, helps to keep the content relatable and engaging.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1.344.206
  • + 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 blockchain reveals an well-established Twitter presence with 1.344.206 followers. The account demonstrates a content-creator strategy, averaging 145,6 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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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: Dez 16, 2025