IBM Blockchain and Supply Chain
Blockchain and AI expertise for smarter supply chains and resilient businesses.
84,546
Followers
812
Following
2,508
Tweets
217.9
Avg Engagement
1,233
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IBMBlockchain'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: Mid-Tier (10K+)
- Account Age:2016-01-29
- Verification:Yes
- Location:New York, NY
Data Summary
- Tweets Analyzed:2,439
- Avg Likes per Tweet:16.4
- Avg Retweets per Tweet:201.4
- Followers Analyzed:10,000
Engagement Analysis
Based on 2,439 tweetsEach tweet typically receives around 258 likes and 119 retweets, indicating moderate engagement. The content is well-received and shared within the blockchain and tech communities.
16.4
Avg Likes/Tweet
201.4
Avg Retweets/Tweet
40,040
Total Likes
491,335
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
13
Median Retweets
67
75th Percentile
55,397
Top Tweet
2.58
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
41.5%
Original
3.4%
Replies
53.8%
Retweets
1.4%
Quotes
0.0%
Threads
0.6%
With Media
94.2%
With Links
72.6%
With #Tags
71.3%
With @Mentions
11.9%
With Emojis
204
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 2,439 tweetsContent Type Distribution
Content Breakdown
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 1,311 retweets (54% 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 2,439 tweetsEngagement 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 10,000 followersThe primary audience includes enterprise professionals and business leaders interested in blockchain and AI integration. They are likely looking for insights into supply chain optimization and business resilience.
Average
Audience Quality
24.8%
Suspicion Index
27.2%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.9%
Empty Bio
27.4%
<10 Tweets
11.9%
Mass Following (>2K)
0.0%
New (<90 days)
55.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
79.0%
No URL
17.5%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
21,733,736
Total Potential Reach
35
Median Follower Reach
148
75th Percentile Reach
4.9%
>1K followers
0.8%
>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).
47.1%
Creators
4,707 accounts
25.5%
Consumers
2,548 accounts
27.4%
Dormant
2,745 accounts
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):
188
Verified Followers
1.88% of total
724
Protected Accounts
7.24% of total
4 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 | 14,097,647 | Wrestler | Wrestling, Motivation, Self-promotion |
| @vigolar | 1,286,906 | Crypto Influencer | NFT, Crypto, Building Crypto Society |
| @ZachBoychuk | 827,655 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @geoff_deweaver | 360,984 | Marketing Expert | Digital Marketing, Strategy, Leadership |
| @pcastagnoli | 295,196 | Musician | Music, Technology, Entrepreneurship |
| @candebullish | 207,085 | Crypto Influencer | Crypto, NFTs, Marketing |
| @agalleryartists | 173,967 | Art Dealer | NFTs, Art, Gallery |
| @_CryptoWaller | 155,055 | Trader | Trading, Video Promotion, Marketing |
| @Caduceus_CMP | 121,799 | - | - |
| @dypius | 117,978 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,307
Followers With Bio
3,693
Followers Without Bio
63.07%
% With Bio
36.93%
% 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 $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 2,439 analyzed180,152
Combined Engagement
0
Total Likes
180,152
Total Retweets
36,030
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @_dmarian: I have a maths joke but I’m 2² to say it🙈
RT @Cozy_Jamess: Mother Nature at its finest🐛 https://t.co/5R9FjRMxZC
RT @SpotTheLoon2010: What kind of bird is this? https://t.co/TSm5ynOPTO
RT @GlblCtzn: ⭕️We’re LIVE! Tune in to One World: #TogetherAtHome for performances from some of the world’s biggest artists, stories from frontline workers, and insights from health experts. It's all in support of the @WHO’s COVID-19 Solidarity Response Fund. Watch now: https://t
RT @elonmusk: So often true 🤣🤣 https://t.co/qxmDtZ4Buf
Key Insights & Takeaways
Collaborations with industry leaders like Hedera highlight a focus on interoperability and innovation. Emphasis on real-world applications such as coffee traceability shows a commitment to transparency and sustainability. Regular announcements and tech previews suggest a proactive approach to sharing advancements and future developments.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 84,546
- + 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 @IBMBlockchain reveals an well-established Twitter presence with 84,546 followers. The account demonstrates a content-creator strategy, averaging 217.9 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.
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