SFGiants
From a keyboard by the Cove
1.763.385
Followers
255
Following
94.786
Tweets
1.431,2
Avg Engagement
9.196
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SFGiants'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: Mega Influencer (1M+)
- Account Age:2009-05-28
- Verification:Yes
- Location:Oracle Park, San Francisco CA
Data Summary
- Tweets Analyzed:3.248
- Avg Likes per Tweet:1.245,8
- Avg Retweets per Tweet:185,4
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.248 tweetsThe account sees high engagement with an average of 21,304 likes and 5,026 retweets per tweet. This indicates a loyal and active fan base that regularly interacts with the content.
1.245,8
Avg Likes/Tweet
185,4
Avg Retweets/Tweet
4.046.304
Total Likes
602.169
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
684
Median Likes
68
Median Retweets
1.696
75th Percentile
40.087
Top Tweet
0,81
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
71,7%
Original
19,1%
Replies
8,7%
Retweets
0,6%
Quotes
0,0%
Threads
0,3%
With Media
71,1%
With Links
34,8%
With #Tags
45,4%
With @Mentions
40,2%
With Emojis
80
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0,27
Reply/Original Ratio
0,07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
64,8%
Weekday Posts
35,2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.248 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 282 retweets (9% 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 3.248 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 consists of baseball fans, particularly those in the San Francisco area and beyond. The account also attracts casual sports enthusiasts and followers of specific players.
Below Average
Audience Quality
35,7%
Suspicion Index
52,8%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
59,0%
Empty Bio
56,9%
<10 Tweets
4,7%
Mass Following (>2K)
0,0%
New (<90 days)
68,8%
Low Ratio (<0.1)
0,0%
New (<180 days)
93,2%
No URL
46,7%
<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.
20.280.408
Total Potential Reach
4
Median Follower Reach
32
75th Percentile Reach
2,1%
>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).
25,8%
Creators
12.877 accounts
17,4%
Consumers
8.684 accounts
56,9%
Dormant
28.439 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):
729
Verified Followers
0.72% of total
9.288
Protected Accounts
9.2% 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 |
|---|---|---|---|
| @DJPaulyD | 3.607.054 | DJ | Music, DJing, Booking |
| @SinghLions | 1.335.269 | Restaurateur | Food, Travel, Influencer |
| @JimCantore | 1.282.540 | Meteorologist | Weather, Meteorology, Nature |
| @NOH8Campaign | 801.955 | Activism | equality, bullying, discrimination |
| @Jason | 709.771 | Investor | startups, investing, podcasting |
| @OccupyDemocrats | 537.537 | Political Activist | Progressive, Grassroots, Politics |
| @KariByron | 486.664 | TV Host | Science, Mythbusting, Exploration |
| @uninterrupted | 474.770 | Athlete Empowerment | Athlete empowerment, Brand founders, MoreThanAnAthlete |
| @THE_THEO_FORD | 469.005 | - | - |
| @Moreno | 430.154 | Influencer | Business, Manager, Serious |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46.346
Followers With Bio
54.653
Followers Without Bio
45.89%
% With Bio
54.11%
% 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 3.248 analyzed150.153
Combined Engagement
122.337
Total Likes
27.816
Total Retweets
30.031
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
https://t.co/03MhZ89Ht4
After 12 years with the #SFGiants, Buster Posey has announced he is retiring from baseball. Thank you for everything, Buster! #ForeverGiant https://t.co/6pU59Tj3nH
Air Brandon https://t.co/Ny9IECUbas
For the first time since 2012, the San Francisco Giants are champions of the National League West. #SFGiants | #ResilientSF https://t.co/6xoDMiKAsF
How it started: How it’s going: https://t.co/8YFZLFGfMu
Key Insights & Takeaways
The account frequently shares player highlights and team news, which drives engagement. It uses emotional storytelling, such as player retirements, to connect with fans. Verified accounts make up a small percentage, suggesting a mix of organic and official content.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1.763.385
- + 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 @SFGiants reveals an exceptionally influential Twitter presence with 1.763.385 followers. The account demonstrates a content-creator strategy, averaging 1.431,2 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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