Sam Sifton
Assistant Managing Editor, The New York Times. A cookbook for you: "No-Recipe Recipes." Order here: https://www.penguinrandomhouse.com/books/624974/t/…
174.264
Followers
994
Following
24.866
Tweets
594,7
Avg Engagement
2.970
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SamSifton'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:2009-03-30
- Verification:No
- Location:Brooklyn, NY
Data Summary
- Tweets Analyzed:3.235
- Avg Likes per Tweet:18,6
- Avg Retweets per Tweet:576,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.235 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent with his professional and personal content sharing.
18,6
Avg Likes/Tweet
576,1
Avg Retweets/Tweet
60.178
Total Likes
1.863.729
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
2
Median Retweets
29
75th Percentile
588.465
Top Tweet
3,41
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
43,0%
Original
20,2%
Replies
28,6%
Retweets
8,3%
Quotes
0,0%
Threads
0,4%
With Media
61,0%
With Links
4,9%
With #Tags
65,6%
With @Mentions
4,0%
With Emojis
93
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,47
Reply/Original Ratio
0,29
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86,3%
Weekday Posts
13,7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.235 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 924 retweets (29% 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 3.235 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 followersHis audience includes readers of The New York Times, food and culture enthusiasts, and followers of his personal updates. The audience is primarily interested in lifestyle, food, and media-related content.
Average
Audience Quality
23,3%
Suspicion Index
25,4%
Low-Quality %
93
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
35,5%
Empty Bio
22,3%
<10 Tweets
21,5%
Mass Following (>2K)
0,0%
New (<90 days)
42,1%
Low Ratio (<0.1)
0,0%
New (<180 days)
71,1%
No URL
15,2%
<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.
166.800.130
Total Potential Reach
93
Median Follower Reach
457
75th Percentile Reach
15,2%
>1K followers
2,7%
>10K followers
0,7%
>50K followers
0,4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
60,2%
Creators
30.111 accounts
17,4%
Consumers
8.721 accounts
22,3%
Dormant
11.168 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):
502
Verified Followers
0.5% of total
10.020
Protected Accounts
10.02% 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 |
|---|---|---|---|
| @washingtonpost | 20.040.894 | News Outlet | Politics, News, Journalism |
| @JohnCena | 14.100.479 | Wrestler | Wrestling, Motivation, Self-promotion |
| @FoodNetwork | 6.031.375 | Culinary TV | cooking, baking, streaming |
| @kristina | 5.302.912 | Actress | Travel, Food, Fashion |
| @altonbrown | 4.393.336 | Chef | Cooking, Science, Humor |
| @Nigella_Lawson | 2.756.762 | Chef | cooking, updates, contact |
| @Pajaropolitico | 2.681.694 | Journalist | víctimas, corrupción, historias |
| @nytchinese | 2.663.422 | News Outlet | News, Chinese culture, Technology |
| @bflay | 2.614.476 | Chef | Cooking, New York, Father |
| @6BillionPeople | 2.033.408 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59.536
Followers With Bio
40.464
Followers Without Bio
59.54%
% With Bio
40.46%
% 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 3.235 analyzed1.141.770
Combined Engagement
0
Total Likes
1.141.770
Total Retweets
228.354
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: Kobe was a legend on the court and just getting started in what would have been just as meaningful a second act. To lose G…
RT @KimmyMonte: this dog literally failed every single test thrown at him to become a service dog and i am scream laughing. but imho he’s s…
RT @Drrramina: I can’t stop watching this https://t.co/mwBN1olaK1
RT @HenpeckedHal: My 20 year old cousin got his own apartment and it's going pretty well https://t.co/SaPSogpo0r
RT @ItsBlackCulture: To all the non-tennis-playing men who think they can win a point against Serena, watch this... 🙃👸🏾🎾 https://t.co/GEDQb…
Key Insights & Takeaways
He frequently shares personal and professional updates, which resonate well with his audience. His content often includes links to articles and personal milestones, indicating a blend of professional and personal storytelling. He maintains a balance between his role at The New York Times and personal reflections, which helps in building a loyal following.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 174.264
- + 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 @SamSifton reveals an well-established Twitter presence with 174.264 followers. The account demonstrates a content-creator strategy, averaging 594,7 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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