Giancarlo Stanton
Stant'n like my Daddy
340.623
Followers
382
Following
3.901
Tweets
211,1
Avg Engagement
2.144
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Giancarlo818'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:2010-05-16
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3.189
- Avg Likes per Tweet:160,8
- Avg Retweets per Tweet:50,4
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.189 tweetsHis tweets receive high engagement, averaging 16,133 likes and 4,061 retweets, indicating a highly interactive audience.
160,8
Avg Likes/Tweet
50,4
Avg Retweets/Tweet
512.704
Total Likes
160.614
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
18
75th Percentile
26.315
Top Tweet
0,62
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
33,4%
Original
57,8%
Replies
8,5%
Retweets
0,3%
Quotes
0,0%
Threads
0,5%
With Media
21,7%
With Links
13,9%
With #Tags
73,3%
With @Mentions
7,8%
With Emojis
66
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1,73
Reply/Original Ratio
0,03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75,7%
Weekday Posts
24,3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.189 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 271 retweets (8% 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 3.189 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 appears to be fans of motivational content and possibly sports enthusiasts, given the use of hashtags like #SquadUp.
Average
Audience Quality
25,9%
Suspicion Index
32,2%
Low-Quality %
22
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45,1%
Empty Bio
28,4%
<10 Tweets
8,3%
Mass Following (>2K)
0,0%
New (<90 days)
58,9%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,2%
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.
48.554.082
Total Potential Reach
22
Median Follower Reach
107
75th Percentile Reach
3,3%
>1K followers
0,4%
>10K followers
0,1%
>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).
49,9%
Creators
24.939 accounts
21,7%
Consumers
10.848 accounts
28,4%
Dormant
14.213 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):
793
Verified Followers
0.79% of total
12.338
Protected Accounts
12.22% of total
6 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 |
|---|---|---|---|
| @jimmyfallon | 50.792.754 | Comedian | Comedy, TV, Music |
| @JohnCena | 14.103.340 | Wrestler | Wrestling, Motivation, Self-promotion |
| @CarlosLoret | 9.511.979 | Journalist | Reportero, Columna, Colaborador |
| @FallonTonight | 4.506.542 | Entertainment | Comedy, Entertainment, Late-night TV |
| @Faitelson_ESPN | 4.084.547 | - | - |
| @KameronBennett | 1.812.759 | DJ | Music, DJing, Booking |
| @Lesdoggg | 1.402.404 | Comedian | Comedy, Stand-up, Actress |
| @JavierSolorzano | 1.307.452 | Journalist | Periodista, Columnista, Colaborador |
| @KalaniBallFree | 1.244.506 | Athlete | Email Marketing, Entrepreneurship, Social Media |
| @NicolleDWallace | 1.227.094 | TV Host | Mom, dog lover, Host |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
55.982
Followers With Bio
45.017
Followers Without Bio
55.43%
% With Bio
44.57%
% 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 3.189 analyzed111.811
Combined Engagement
101.710
Total Likes
10.101
Total Retweets
22.362
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
We will not be stopped. #SquadUp https://t.co/0cCNv6anY5
MVP!!!!!!!!!!!!!!!! https://t.co/TiCLAueer1
DAMN it feels good to be back! https://t.co/jeffXqMTAN
Honored to be a part of history! Now it's time to get back to work. 💪🏾 https://t.co/6wLSxzrkJv
Back @ it!! https://t.co/MobbSfSCA0
Key Insights & Takeaways
High follower count suggests a large and active audience. Content often includes motivational and celebratory messages. Top tweets focus on achievement and team spirit.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 340.623
- + 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 @Giancarlo818 reveals an well-established Twitter presence with 340.623 followers. The account demonstrates a conversation-first approach, averaging 211,1 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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