Crypto Trends
Bringing you the latest trends in #crypto | Real-time cryptocurrency news alerts
108,091
Followers
3
Following
2,484
Tweets
239.1
Avg Engagement
736
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @CryptoTrends'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:2020-11-30
- Verification:Yes
- Location:United States
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:199.2
- Avg Retweets per Tweet:39.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsThe account has a moderate level of engagement, with an average of 1,490 likes and 305 retweets per tweet. This suggests a dedicated but not overly active follower base.
199.2
Avg Likes/Tweet
39.8
Avg Retweets/Tweet
99,613
Total Likes
19,916
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
83
Median Likes
11
Median Retweets
261
75th Percentile
2,440
Top Tweet
2.21
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
85.8%
Original
13.8%
Replies
0.4%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
27.8%
With Links
56.6%
With #Tags
8.0%
With @Mentions
28.2%
With Emojis
85
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.16
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.2%
Weekday Posts
22.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 2 retweets (0% 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 500 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 followersThe audience is likely interested in cryptocurrency trends, real-time updates, and market analysis. They are likely active traders or investors looking for actionable insights.
Average
Audience Quality
20.5%
Suspicion Index
25.8%
Low-Quality %
36
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.2%
Empty Bio
21.6%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
42.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.4%
No URL
13.4%
<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.
67,630,829
Total Potential Reach
36
Median Follower Reach
145
75th Percentile Reach
6.1%
>1K followers
1.1%
>10K followers
0.3%
>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).
54.1%
Creators
27,049 accounts
24.3%
Consumers
12,145 accounts
21.6%
Dormant
10,806 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):
1,416
Verified Followers
1.42% of total
9,155
Protected Accounts
9.16% 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 |
|---|---|---|---|
| @JohnCena | 14,105,684 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CryptoWeb3_NFT | 4,362,978 | - | - |
| @BabyDogeCoin | 1,883,012 | - | - |
| @WatcherGuru | 1,843,888 | Crypto Analyst | Crypto, NFTs, Real-time |
| @JDaIey | 1,226,285 | Owner | Esports, Gaming, Sponsorship |
| @TheRavenCrypto | 1,000,516 | Cryptocurrency Trader | NFTs, Altcoins, CryptoGemSeeker |
| @ShytoshiKusama | 912,951 | Cryptocurrency influencer | Shiba Inu, Crypto, Volunteer |
| @ZachBoychuk | 830,528 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @MEXC_Global | 792,765 | Cryptocurrency Exchange | Cryptocurrency, Derivatives, CEO |
| @NoraEstia | 781,276 | Crypto Influencer | Crypto, Giveaways, NFT |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,393
Followers With Bio
41,607
Followers Without Bio
58.39%
% With Bio
41.61%
% 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.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 500 analyzed10,942
Combined Engagement
7,477
Total Likes
3,465
Total Retweets
2,188
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
Coinbase needs to relist $XRP
JUST IN: Elon Musk reveals Dogecoin's #Shiba Inu Dog is the new CEO of Twitter 😳 https://t.co/Ntt6p6Eev0
RT @WatcherGuru: BREAKING: 🇺🇸 Federal Reserve raises interest rates by 25bps.
Shiba Inu: Will Burning 111 Trillion $SHIB Annually Take it to $1? https://t.co/ySw9yuaZT6
@WatcherGuru https://t.co/B7oIeZBSoz
Key Insights & Takeaways
The account frequently highlights breaking news and market-moving events, such as relisting announcements and CEO changes. It focuses on high-profile cryptocurrencies like XRP and Dogecoin, which are popular among retail investors. The use of trending topics and viral content, such as Shiba Inu-related news, helps drive engagement and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 108,091
- + 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 @CryptoTrends reveals an well-established Twitter presence with 108,091 followers. The account demonstrates a content-creator strategy, averaging 239.1 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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