Food52
Eat thoughtfully, live joyfully. https://f52.co/food52
643,805
Followers
13,780
Following
83,310
Tweets
43.5
Avg Engagement
5,270
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Food52'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:2009-02-24
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:34.7
- Avg Retweets per Tweet:8.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsFood52's tweets receive an average of 2,413 likes and 572 retweets, indicating strong audience interaction. The content is both informative and relatable, encouraging participation.
34.7
Avg Likes/Tweet
8.9
Avg Retweets/Tweet
112,509
Total Likes
28,720
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
19
Median Likes
5
Median Retweets
42
75th Percentile
6,363
Top Tweet
0.07
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
95.6%
Original
3.0%
Replies
0.9%
Retweets
0.6%
Quotes
0.0%
Threads
0.0%
With Media
97.0%
With Links
5.2%
With #Tags
7.6%
With @Mentions
6.9%
With Emojis
112
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.03
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.3%
Weekday Posts
22.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 29 retweets (1% 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 3,245 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 is likely food enthusiasts, home cooks, and lifestyle seekers. They are interested in recipes, cooking techniques, and cultural food trends.
Below Average
Audience Quality
41.6%
Suspicion Index
62.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.5%
Empty Bio
72.9%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
78.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.7%
No URL
60.4%
<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.
27,747,752
Total Potential Reach
1
Median Follower Reach
9
75th Percentile Reach
1.1%
>1K followers
0.2%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
12.2%
Creators
6,089 accounts
14.9%
Consumers
7,462 accounts
72.9%
Dormant
36,449 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):
451
Verified Followers
0.45% of total
10,039
Protected Accounts
9.94% 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 |
|---|---|---|---|
| @JohnCena | 14,105,328 | Wrestler | Wrestling, Motivation, Self-promotion |
| @OMGFacts | 6,284,688 | Fact Curator | Factual, Curious, All Things |
| @dwell | 1,336,377 | Home design | modern home design, home decor, architecture |
| @RecetasLigeras | 872,617 | Cocinero | saludable, cocina, sencillas |
| @NOH8Campaign | 801,889 | Activism | equality, bullying, discrimination |
| @BootstrapCook | 556,979 | - | - |
| @IamMzilikazi | 546,083 | Musician | Pan-African music, Album, Rise |
| @SlimJim | 492,358 | Snack Influencer | meat, long boi, champions |
| @marielaviteri | 415,573 | Journalist | Radio, Revista, Tele |
| @LGUS | 376,642 | Electronics | Smart Appliances, Electronics, Innovation |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
47,798
Followers With Bio
53,200
Followers Without Bio
47.33%
% With Bio
52.67%
% 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 3,245 analyzed21,172
Combined Engagement
16,616
Total Likes
4,556
Total Retweets
4,234
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Fact: All good things start with onion and garlic! https://t.co/3fZ6M0FHw9
"You can upgrade the flavor of any dish with ramen seasoning" - @bts_bighit's Jin https://t.co/HX87NaAU8k
"I'm just letting the dishes soak for a few minutes!" https://t.co/WGxB9giSOk
Tag yourself. We're a 6-minute simmer! 🥚 https://t.co/pQwnIJAhMu
Every. Single. Day. 🍴 https://t.co/SY4eMCVW2k
Key Insights & Takeaways
The account often highlights simple yet effective cooking tips that resonate with everyday cooks. They incorporate references to popular culture, like K-pop stars, to engage a broader audience. Their content emphasizes mindfulness in eating and joy in living, aligning with a lifestyle-focused approach.
Strengths
- + Established follower base of 643,805
- + 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 @Food52 reveals an growing Twitter presence with 643,805 followers. The account demonstrates a content-creator strategy, averaging 43.5 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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