Blockasset
Access Greatness | The Web3 Sport Ecosystem | $BLOCK | Who You Got? Join Our Community. https://discord.com/invite/blockasset
67,574
Followers
865
Following
6,206
Tweets
110.8
Avg Engagement
208
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Blockassetco'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:2021-05-13
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:36.1
- Avg Retweets per Tweet:74.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,237 tweetsThe account has an average of 3,614 likes and 324 retweets per tweet, indicating a moderately engaged audience. It frequently interacts with popular sports figures and events.
36.1
Avg Likes/Tweet
74.7
Avg Retweets/Tweet
117,009
Total Likes
241,749
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
5
Median Retweets
51
75th Percentile
100,088
Top Tweet
1.64
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
18.8%
Original
48.9%
Replies
28.2%
Retweets
4.1%
Quotes
0.0%
Threads
0.1%
With Media
56.7%
With Links
20.7%
With #Tags
86.1%
With @Mentions
59.3%
With Emojis
129
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.61
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.6%
Weekday Posts
20.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 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 913 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 3,237 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 audience appears to be interested in sports, particularly UFC events, and Web3 technologies. They are likely engaged with community-driven content and brand interactions.
Good
Audience Quality
19.0%
Suspicion Index
19.1%
Low-Quality %
102
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
31.4%
Empty Bio
11.5%
<10 Tweets
20.5%
Mass Following (>2K)
0.0%
New (<90 days)
37.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.9%
No URL
6.9%
<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.
42,195,675
Total Potential Reach
102
Median Follower Reach
380
75th Percentile Reach
12.8%
>1K followers
2.7%
>10K followers
1.0%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.3%
Creators
7,233 accounts
16.2%
Consumers
1,620 accounts
11.5%
Dormant
1,147 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):
439
Verified Followers
4.39% of total
578
Protected Accounts
5.78% 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 | 14,094,071 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ScottGShore | 1,421,877 | Reality TV Star | Reality TV, Techno music, MTV |
| @SinghLions | 1,328,114 | Restaurateur | Food, Travel, Influencer |
| @belufrancese | 977,157 | Influencer | NFTs, Crypto, Bitcoin |
| @TaylorMusk7 | 911,163 | Social Media Marketer | Crypto, WEB3, NFTs |
| @emilioopaz | 854,873 | - | - |
| @NoraEstia | 781,666 | Crypto Influencer | Crypto, Giveaways, NFT |
| @GinoAssereto | 691,342 | Marketing Strategy Advisor | Crypto, Marketing, NFT |
| @sinanguler | 657,706 | Basketball | Basketball, Husband, Father |
| @CryptoGemsCom | 524,913 | Sports Analyst | Fenerbahce, FBBasketbol, FENERBAHÇE |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,862
Followers With Bio
3,138
Followers Without Bio
68.62%
% With Bio
31.38%
% 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 3,237 analyzed144,732
Combined Engagement
21,590
Total Likes
123,142
Total Retweets
28,946
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @FIFAWorldCup: 🇦🇷🏆
@DailyLoud https://t.co/4kqNB11jzY
RT @ufc: HOLY S**T!!!! @LEON_EDWARDSMMA IS THE WW CHAMPION OF THE WORLD!!! #UFC278 https://t.co/Ms9rwG1Ota
RT @elonmusk: SBF was bad at League. Nuff said.
@DailyLoud When he see’s these pics.. https://t.co/82MEKEOhAG
Key Insights & Takeaways
The account leverages high-profile sports events like UFC 273 to drive engagement and visibility. It collaborates with influencers like @DailyLoud to expand its reach and community interaction. The use of hashtags and links suggests a strategy to promote both content and community participation.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 67,574
- + 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 @Blockassetco reveals an well-established Twitter presence with 67,574 followers. The account demonstrates a conversation-first approach, averaging 110.8 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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