Sutton Foster
...
168,341
Followers
1,179
Following
4,807
Tweets
176.2
Avg Engagement
1,002
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @sfosternyc'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:2011-02-26
- Verification:No
- Location:..
Data Summary
- Tweets Analyzed:3,110
- Avg Likes per Tweet:78.9
- Avg Retweets per Tweet:97.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,110 tweetsTheir tweets receive an average of 3,533 likes and 751 retweets, indicating strong audience interaction and interest in their content.
78.9
Avg Likes/Tweet
97.3
Avg Retweets/Tweet
245,509
Total Likes
302,461
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
18
Median Retweets
126
75th Percentile
80,520
Top Tweet
1.05
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
26.5%
Original
18.6%
Replies
54.8%
Retweets
0.1%
Quotes
0.0%
Threads
1.2%
With Media
54.1%
With Links
47.2%
With #Tags
87.5%
With @Mentions
4.6%
With Emojis
105
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.7
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
83.2%
Weekday Posts
16.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,110 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 1,705 retweets (55% 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 3,110 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 followersTheir audience appears to be interested in entertainment, particularly TV shows, and social media trends. They engage with a mix of casual and informed users.
Good
Audience Quality
18.2%
Suspicion Index
20.3%
Low-Quality %
64
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.3%
Empty Bio
14.2%
<10 Tweets
12.6%
Mass Following (>2K)
0.0%
New (<90 days)
39.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
81.5%
No URL
8.4%
<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.
138,453,739
Total Potential Reach
64
Median Follower Reach
225
75th Percentile Reach
6.6%
>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).
67.4%
Creators
33,691 accounts
18.4%
Consumers
9,198 accounts
14.2%
Dormant
7,111 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):
305
Verified Followers
0.3% of total
16,376
Protected Accounts
16.21% of total
10 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 |
|---|---|---|---|
| @NetflixBrasil | 26,149,988 | Entertainment | Batalha TUDUM, Fandoms, Site |
| @RealHughJackman | 15,022,388 | Actor | acting, singing, philanthropy |
| @JohnCena | 14,100,423 | Wrestler | Wrestling, Motivation, Self-promotion |
| @JKCorden | 10,712,513 | TV Host | Comedy, Late Night TV, Entertainment |
| @MTVNEWS | 4,999,151 | Entertainment | Entertainment, News, Social |
| @pattonoswalt | 4,668,146 | Comedian | comedy, acting, podcasting |
| @FallonTonight | 4,505,599 | Entertainment | Comedy, Entertainment, Late-night TV |
| @amyschumer | 4,288,787 | - | - |
| @Nickelodeon | 3,884,871 | Entertainment | TV shows, streaming, entertainment |
| @GMA | 3,766,541 | News Anchor | News, Entertainment, Morning TV |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,903
Followers With Bio
32,094
Followers Without Bio
68.22%
% With Bio
31.78%
% 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 3,110 analyzed163,993
Combined Engagement
13,625
Total Likes
150,368
Total Retweets
32,799
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @brittlestar: This just instantly made today better... https://t.co/mAnwSqgA5n
RT @Lin_Manuel: Gmorning. YOU ARE SO LOVED AND WE LIKE HAVING YOU AROUND. *ties one end of this sentence to your heart, the other end to ev…
RT @Lin_Manuel: https://t.co/D7HSofDxLK
Til there was Hugh https://t.co/PDMuL0TOq1
RT @dog_feelings: the human stared. at the tv. for so long. i don’t think. a smile occurred. all day. i just chewed. the remote. to absolut…
Key Insights & Takeaways
They frequently reference popular TV shows, suggesting a focus on entertainment and pop culture. Their content often includes humor and social commentary, which likely drives engagement. They use exclamation marks and emojis to emphasize points, making their tweets more attention-grabbing.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 168,341
- + 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 @sfosternyc reveals an well-established Twitter presence with 168,341 followers. The account demonstrates a content-creator strategy, averaging 176.2 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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