Binance Argentina
Cuenta oficial de @Binance Argentina. El exchange de criptomonedas más grande del mundo. Telegram: https://safu.im/ZYet7gTQ Para soporte: @binancehelpdesk
65,335
Followers
46
Following
6,353
Tweets
47.4
Avg Engagement
243
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @BinanceArg'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:2020-10-16
- Verification:Yes
- Location:Argentina
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:18.3
- Avg Retweets per Tweet:29.0
- Followers Analyzed:10,999
Engagement Analysis
Based on 3,241 tweetsThe account maintains moderate engagement with an average of 1,340 likes and 295 retweets per tweet. Verified accounts make up 1.1% of its followers, indicating a mix of public figures and supporters.
18.3
Avg Likes/Tweet
29.0
Avg Retweets/Tweet
59,453
Total Likes
94,125
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
5
Median Likes
1
Median Retweets
19
75th Percentile
7,426
Top Tweet
0.73
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
48.0%
Original
31.2%
Replies
12.3%
Retweets
8.5%
Quotes
0.0%
Threads
0.0%
With Media
67.4%
With Links
41.7%
With #Tags
39.2%
With @Mentions
58.7%
With Emojis
136
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.65
Reply/Original Ratio
0.69
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.9%
Weekday Posts
16.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 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 398 retweets (12% 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 3,241 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 10,999 followersThe primary audience includes cryptocurrency enthusiasts, investors, and fans of the Argentina national team. It also targets potential users interested in Binance's services and events.
Average
Audience Quality
21.1%
Suspicion Index
33.0%
Low-Quality %
25
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
46.9%
Empty Bio
28.6%
<10 Tweets
6.9%
Mass Following (>2K)
0.0%
New (<90 days)
34.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.8%
No URL
19.2%
<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.
21,852,709
Total Potential Reach
25
Median Follower Reach
116
75th Percentile Reach
4.0%
>1K followers
0.7%
>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).
48.0%
Creators
5,277 accounts
23.4%
Consumers
2,578 accounts
28.6%
Dormant
3,144 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):
122
Verified Followers
1.11% of total
633
Protected Accounts
5.76% 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 | 14,075,068 | Wrestler | Wrestling, Motivation, Self-promotion |
| @SirKunt | 2,280,960 | - | - |
| @fusionistio | 759,480 | Game Developer | Blockchain, game, industry veterans |
| @sinaEstavi | 188,536 | CEO | BTC, BRG, BRGArmy |
| @heyibinance | 181,558 | - | - |
| @Dccnnews | 149,113 | - | - |
| @MorelDLeon | 127,419 | - | - |
| @CryptoVerse_Co | 108,624 | Crypto Influencer | Binance, Crypto, Affiliates |
| @Genius_Crypto_ | 102,858 | Crypto Investor | NFTs, Blockchain, Altcoins |
| @hiRavenCrypto | 94,615 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,841
Followers With Bio
5,158
Followers Without Bio
53.1%
% With Bio
46.9%
% 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 3,241 analyzed25,652
Combined Engagement
0
Total Likes
25,652
Total Retweets
5,130
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @binance: Our response to the SEC's complaint. https://t.co/mgXxGTKr67
RT @cz_binance: #Binance is donating $10M to help the humanitarian crisis in Ukraine & @BinanceBCF launched the crypto-first crowdfunding Ukraine Emergency Relief Fund. 🇺🇦 Our focus is providing on-the-ground support. We just care about the people. ➡️ https://t.co/2vLFFbf5a
RT @binance: see you in the metaverse
RT @cz_binance: If you want to waste time, use the internet. If you want to improve your finances, use crypto.
RT @binance: Maybe we're all NFTs
Key Insights & Takeaways
The account frequently highlights major partnerships and sponsorships, which helps in brand visibility. It actively addresses misinformation and clarifies its stance on unrelated entities, maintaining credibility. The use of hashtags and event-related content increases interaction and community involvement.
Strengths
- + Established follower base of 65,335
- + 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 @BinanceArg reveals an growing Twitter presence with 65,335 followers. The account demonstrates a content-creator strategy, averaging 47.4 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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