Gabriel Costa
📈 Trader since 2018 - 👨🎓Engineer - DEFi - Investor - TG Channel https://t.me/Gabrielcalls 🔥 #BNB #ETH #NFTs
13,581
Followers
6,915
Tweets
43.9
Avg Engagement
25
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gabrielpfc1996'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:2017-05-20
- Verification:No
- Location:Rochester, NY
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:1.7
- Avg Retweets per Tweet:42.2
- Followers Analyzed:16,183
Engagement Analysis
Based on 500 tweetsThe account has an average of 76 likes and 50 retweets per tweet, showing moderate engagement. The content is often promotional and community-focused, encouraging interaction.
1.7
Avg Likes/Tweet
42.2
Avg Retweets/Tweet
849
Total Likes
21,107
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
0
75th Percentile
17,535
Top Tweet
3.23
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
2.0%
Original
95.6%
Replies
2.4%
Retweets
0.0%
Quotes
0.0%
Threads
0.0%
With Media
80.4%
With Links
3.6%
With #Tags
99.0%
With @Mentions
93.4%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
47.8
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
62.4%
Weekday Posts
37.6%
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 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 12 retweets (2% 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 16,183 followersThe audience appears to be interested in cryptocurrency, trading, and DeFi projects. They are likely active traders and investors looking for market insights and opportunities.
Average
Audience Quality
31.0%
Suspicion Index
10.3%
Low-Quality %
82
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
9.0%
Empty Bio
13.8%
<10 Tweets
51.6%
Mass Following (>2K)
0.0%
New (<90 days)
72.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.5%
No URL
11.6%
<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.
18,471,873
Total Potential Reach
82
Median Follower Reach
206
75th Percentile Reach
5.9%
>1K followers
0.9%
>10K followers
0.3%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
82.6%
Creators
13,367 accounts
3.6%
Consumers
586 accounts
13.8%
Dormant
2,230 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):
163
Verified Followers
1.01% of total
419
Protected Accounts
2.59% of total
3 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 |
|---|---|---|---|
| @sofizamolo | 1,124,942 | Model | Fashion, Television, Blogging |
| @belufrancese | 1,002,122 | Influencer | NFTs, Crypto, Bitcoin |
| @CryptoGemsNFT_ | 975,011 | Crypto Researcher | Crypto, NFTs, DeFi |
| @tulioorocha_ | 825,481 | Cryptocurrency Advisor | Crypto, Marketing, Collaboration |
| @NoraEstia | 781,281 | Crypto Influencer | Crypto, Giveaways, NFT |
| @GinoAssereto | 695,000 | Marketing Strategy Advisor | Crypto, Marketing, NFT |
| @CryptoGemsCom | 573,007 | Sports Analyst | Fenerbahce, FBBasketbol, FENERBAHÇE |
| @FabriLemus7 | 492,488 | Crypto Influencer | Crypto, Content Creation, Investing |
| @SuperLitho | 461,149 | - | - |
| @HeiraCrypto | 446,945 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14,723
Followers With Bio
1,460
Followers Without Bio
90.98%
% With Bio
9.02%
% 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 analyzed20,546
Combined Engagement
331
Total Likes
20,215
Total Retweets
4,109
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
80%
With @Mentions
20%
With Links
Topical Analysis:
RT @FIFAWorldCup: The greatest #FIFAWorldCup ever.
RT @AKITA_network: AkitaDAO token, $HACHI is live now and trading on Uniswap. $HACHI Contract Address: 0x967B0c95295ead8fAef70d26A7846AeCD…
RT @BTC_Archive: #Bitcoin just broke $22,000 😎 https://t.co/u2KDKcPdy9
GM fam! What is the next trending #altcoin? 👀🔥
RT @gabrielpfc1996: GM fam! What is the next trending #altcoin? 👀🔥
Key Insights & Takeaways
The account frequently promotes specific altcoins and projects, such as the WaterRabbit token. They use hashtags like #BNB, #ETH, and #NFTs to reach a broader audience. Their tweets often include calls to action, such as asking followers to share their portfolios.
Strengths
- + Established follower base of 13,581
- + 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 @gabrielpfc1996 reveals an growing Twitter presence with 13,581 followers. The account demonstrates a conversation-first approach, averaging 43.9 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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