Sweat Еconomy 💧
💧Sweatcoin: 130M+ users in Web2 💧Sweat Wallet: on ramp to Web3 💧SWEAT (NEP-141): token.sweat 💧SWEAT (ERC-20): 0xb4b9dc1c77bdbb135ea907fd5a08094d98883a35
468,740
Followers
40
Following
2,434
Tweets
384.1
Avg Engagement
453
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SweatEconomy'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:2022-01-24
- Verification:Yes
- Location:Planet Earth
Data Summary
- Tweets Analyzed:1,995
- Avg Likes per Tweet:310.8
- Avg Retweets per Tweet:73.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,995 tweetsThe account maintains high engagement with an average of 5,286 likes and 1,811 retweets per tweet. It leverages trending topics and partnerships to boost visibility and interaction.
310.8
Avg Likes/Tweet
73.3
Avg Retweets/Tweet
620,051
Total Likes
146,153
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
0
Median Retweets
566
75th Percentile
15,714
Top Tweet
0.82
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
29.7%
Original
66.1%
Replies
3.0%
Retweets
1.3%
Quotes
0.0%
Threads
0.3%
With Media
42.1%
With Links
6.4%
With #Tags
74.2%
With @Mentions
52.7%
With Emojis
126
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.23
Reply/Original Ratio
0.42
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
85.0%
Weekday Posts
15.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,995 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 60 retweets (3% 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 1,995 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 primary audience is likely crypto enthusiasts, fitness users, and individuals interested in Web3 and blockchain technology. The account also targets potential investors and users of financial apps.
Average
Audience Quality
26.8%
Suspicion Index
39.3%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.9%
Empty Bio
37.2%
<10 Tweets
4.4%
Mass Following (>2K)
0.0%
New (<90 days)
52.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
25.6%
<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.
11,454,903
Total Potential Reach
9
Median Follower Reach
53
75th Percentile Reach
2.2%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
38.5%
Creators
19,255 accounts
24.3%
Consumers
12,147 accounts
37.2%
Dormant
18,598 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):
21
Verified Followers
0.02% of total
6,369
Protected Accounts
6.31% 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 | 14,106,764 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,313 | - | - |
| @Karijelinek | 1,004,056 | Modelo | Modelo, Actriz, Influencers |
| @_snuppy08 | 699,202 | Multitalented | actor, conductor, bailarin |
| @abdulsalamzaeef | 387,584 | Politician | Taliban, Afghanistan, Islamic scholar |
| @RadioShack | 379,052 | Retail | electronics, gadgets, technology |
| @yunaincrypto | 368,904 | Crypto Influencer | NFT, BNB, SOL |
| @Beast_Cryptox | 251,635 | - | - |
| @BasindaBTK | 246,377 | - | - |
| @darcydonavan | 240,339 | Actress | Acting, Music, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
48,961
Followers With Bio
52,038
Followers Without Bio
48.48%
% With Bio
51.52%
% 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 Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,995 analyzed47,919
Combined Engagement
30,330
Total Likes
17,589
Total Retweets
9,584
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
The easiest way to walk into crypto. Link 👉 https://t.co/0yvQc6De4t https://t.co/a6ZEqFHvCL
🎉Five of the best exchanges in the world listing SWEAT from day one (13th Sept)!💧 @okx @bitfinex @FTX_Official @kucoincom @Bybit_Official https://t.co/1jHoI3hNxk
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RT @Bybit_Official: 🚶 Share a 300,000 $USDT Prize Pool With Bybit x SWEAT Event! @SweatEconomy 🔽 Earn 6-10 USDT by completing 3 simple tasks: ✅ Sign up on Bybit ✅ KYC LV. 1 ✅ Deposit $SWEAT or trade $SWEAT 🧑🤝🧑 Share with friends for unlimited reward! 👉 Join now: https://t.co
What a day! Our Sweat Wallet is the No.1 Finance app in 25 countries! It is also Top 5 in Finance in 52 countries. This is how millions #walkintocrypto https://t.co/bADD2vPBWC
Key Insights & Takeaways
The account focuses on promoting its ecosystem and growth metrics, such as user numbers and app rankings. It highlights key partnerships with major crypto exchanges to build credibility and reach. It uses celebratory and motivational language to engage followers and drive interest in its projects.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 468,740
- + 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 @SweatEconomy reveals an well-established Twitter presence with 468,740 followers. The account demonstrates a conversation-first approach, averaging 384.1 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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