Laura Shin
Crypto journalist 🎧 Host @unchained_pod 📚 Author, The Cryptopians 👇🏻 sign up for my 💌 https://unchainedcrypto.substack.com/. Ads: [email protected]
232,010
Followers
3,215
Following
25,218
Tweets
241.2
Avg Engagement
5,497
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @laurashin'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:2009-03-25
- Verification:No
- Location:Crypto Twitter
Data Summary
- Tweets Analyzed:3,211
- Avg Likes per Tweet:24.0
- Avg Retweets per Tweet:217.2
- Followers Analyzed:50,000
- Following Analyzed:1,957
Engagement Analysis
Based on 3,211 tweetsHer tweets typically receive a high number of likes and retweets, indicating strong audience interaction. She actively encourages audience participation through DMs and polls, fostering a sense of community.
24.0
Avg Likes/Tweet
217.2
Avg Retweets/Tweet
76,945
Total Likes
697,476
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
2
Median Retweets
40
75th Percentile
252,925
Top Tweet
1.04
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
24.8%
Original
43.1%
Replies
27.8%
Retweets
4.3%
Quotes
0.0%
Threads
0.2%
With Media
41.0%
With Links
3.2%
With #Tags
77.2%
With @Mentions
31.9%
With Emojis
134
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.74
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
82.8%
Weekday Posts
17.2%
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 3,211 tweetsContent Type Distribution
Content Breakdown
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 893 retweets (28% 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 3,211 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 50,000 followersHer audience includes crypto enthusiasts, investors, and industry professionals interested in news and analysis. They are likely looking for in-depth insights and expert opinions on blockchain and cryptocurrency developments.
Good
Audience Quality
20.0%
Suspicion Index
21.4%
Low-Quality %
79
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.1%
Empty Bio
18.4%
<10 Tweets
15.8%
Mass Following (>2K)
0.0%
New (<90 days)
40.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.1%
No URL
11.7%
<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.
103,012,965
Total Potential Reach
79
Median Follower Reach
340
75th Percentile Reach
12.8%
>1K followers
2.4%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
61.1%
Creators
30,554 accounts
20.5%
Consumers
10,260 accounts
18.4%
Dormant
9,186 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):
4,668
Verified Followers
4.62% of total
7,066
Protected Accounts
7.0% 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 | 14,100,245 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CryptoWeb3_NFT | 4,366,240 | - | - |
| @garyvee | 3,166,798 | Entrepreneur | Family, CEO, Investor |
| @BNBCHAIN | 3,010,955 | Cryptocurrency | Cryptocurrency, Blockchain, Decentralized Finance |
| @MarcusButler | 2,789,119 | Entrepreneur | Fashion, Podcasting, YouTube |
| @WhaleCartel | 2,726,145 | - | - |
| @Medium | 2,193,995 | Platform | Writing, Ideas, Platform |
| @BillyM2k | 2,191,696 | Blogger | crypto, blogging, affiliate marketing |
| @Casey | 2,077,720 | YouTuber | family, work |
| @KapilMishra_IND | 1,409,848 | Politician | BJP, Hindu, Unity |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,056
Followers With Bio
32,934
Followers Without Bio
67.39%
% With Bio
32.61%
% 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 3,211 analyzed403,694
Combined Engagement
0
Total Likes
403,694
Total Retweets
80,739
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @elonmusk: Should I step down as head of Twitter? I will abide by the results of this poll.
RT @FIFAWorldCup: The best #FIFAWorldCup Final ever.
RT @Cartoonbrains: Don't log out of Twitter if you have 2FA. The microservice for it has been shut down. You won't be able to log back in.
RT @cz_binance: This afternoon, FTX asked for our help. There is a significant liquidity crunch. To protect users, we signed a non-binding…
RT @binance: As a result of corporate due diligence, as well as the latest news reports regarding mishandled customer funds and alleged US…
Network & Following Analysis
Based on 1,957 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
26.2%
Verified Accounts
27.2%
High Authority (>50K)
0.9%
Dormant Accounts
2.7%
Low Quality
16,487
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
39.4%
Individuals
772 accounts
60.4%
Brands/Orgs
1,183 accounts
0.1%
Media/News
2 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @ Elon Musk | 64,779,393 | - | - |
| @ Joe Biden | 31,854,358 | - | - |
| @ Hillary Clinton | 31,026,788 | - | - |
| @ Stephen Curry | 15,635,799 | - | - |
| @ Meta | 13,721,526 | - | - |
| @ Vice President Kamala Harris | 11,671,975 | - | - |
| @ Mark Cuban | 8,565,149 | - | - |
| @ Steve Aoki | 8,210,214 | - | - |
| @ Nancy Pelosi | 7,263,583 | - | - |
| @ Elizabeth Warren | 6,983,755 | - | - |
Key Insights & Takeaways
She frequently engages with industry leaders and experts through interviews, providing unique perspectives on crypto trends. Her content often sparks debate, especially around regulatory issues and market dynamics. She maintains a professional tone while occasionally sharing personal milestones, which adds a human element to her brand.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 232,010
- + 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 @laurashin reveals an well-established Twitter presence with 232,010 followers. The account demonstrates a conversation-first approach, averaging 241.2 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