SFist
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275,813
Followers
1,614
Following
45,917
Tweets
11.2
Avg Engagement
3,412
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SFist'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:2008-03-07
- Verification:No
- Location:San Francisco
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:8.4
- Avg Retweets per Tweet:2.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsSFist's tweets receive consistent engagement, indicating a loyal and active audience. The average likes and retweets suggest that the content is both informative and shareable.
8.4
Avg Likes/Tweet
2.9
Avg Retweets/Tweet
27,214
Total Likes
9,341
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
9
75th Percentile
5,338
Top Tweet
0.04
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
99.9%
Original
0.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.4%
With Media
99.8%
With Links
0.4%
With #Tags
0.4%
With @Mentions
0.0%
With Emojis
236
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
1.0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
89.5%
Weekday Posts
10.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 1 retweets (0% 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 3,250 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 residents and visitors of San Francisco and the Bay Area who are interested in local news and events. The account also attracts followers interested in pop culture and community issues.
Average
Audience Quality
33.4%
Suspicion Index
47.5%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.5%
Empty Bio
48.7%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
64.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.5%
No URL
40.4%
<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.
65,165,749
Total Potential Reach
7
Median Follower Reach
87
75th Percentile Reach
5.0%
>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).
35.5%
Creators
17,754 accounts
15.8%
Consumers
7,904 accounts
48.7%
Dormant
24,342 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):
388
Verified Followers
0.38% of total
9,261
Protected Accounts
9.17% of total
7 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 | 14,102,254 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Meta | 13,952,899 | Tech Entrepreneur | Gaming, Metaverse, Social Connection |
| @chancetherapper | 7,940,471 | Musician | music, video, directing |
| @6BillionPeople | 2,035,256 | - | - |
| 1,153,372 | Social Media | Technology, Community, Entertainment | |
| @JoeyBats19 | 1,048,862 | Baseball Player | Baseball, Philanthropy, Sports |
| @NOH8Campaign | 801,451 | Activism | equality, bullying, discrimination |
| @Jason | 714,271 | Investor | startups, investing, podcasting |
| @daveweigel | 580,632 | Journalist | politics, journalism, unionism |
| @SFMOMA | 574,371 | Museum | modern art, contemporary art, museum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,025
Followers With Bio
62,964
Followers Without Bio
37.65%
% With Bio
62.35%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed7,338
Combined Engagement
3,780
Total Likes
3,558
Total Retweets
1,468
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Thailand’s Number One pop star is set to perform the halftime show at the Warriors’ regular season home finale against the Lakers, and the Dubs need whatever help they can get after losing four straight. https://t.co/otGYvNdpt7
The SFPD could get the power to live-monitor private security cameras all over town, including residential Ring and Nest doorbells, under a contentious new surveillance policy working its way through the Board of Supervisors. https://t.co/BD4B8G18k6
The CEO of Walgreens now says that shoplifting seems to be down and maybe they made too big a deal about the issue — in SF and elsewhere — the last couple of years. https://t.co/GN16FvRQUL
Elon Musk posted another one of his Twitter polls on Sunday, this time asking whether he ought to step down from being acting CEO of Twitter — which is something he's probably been intending to do all along. https://t.co/90aa6hcfNF
A beloved San Francisco drag legend, club owner, and pillar of the local nightlife community has reportedly passed away. Heklina, a.k.a. Stefan Grygelko, was on tour in London with friend and longtime collaborator Peaches Christ. https://t.co/E9rGq7LP9n
Key Insights & Takeaways
The account frequently covers high-profile events and local celebrities, which likely drives engagement. It also addresses social and economic issues, such as shoplifting and police surveillance, showing a commitment to community concerns. The mix of entertainment and news content helps maintain a broad and engaged audience.
Strengths
- + Established follower base of 275,813
- + 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 @SFist reveals an growing Twitter presence with 275,813 followers. The account demonstrates a content-creator strategy, averaging 11.2 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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