Adam Richman
Gastronaut. Cook, Host, Producer, Author, MvF OG. TV: Books: America The Edible, Straight Up Tasty BUSINESS INQUIRIES: [email protected]
581,895
Followers
10,777
Following
30,300
Tweets
672.8
Avg Engagement
3,398
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AdamRichman'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:2009-03-20
- Verification:No
- Location:An Aisle Seat
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:50.8
- Avg Retweets per Tweet:622.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,238 tweetsAdam's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is well-received and often shared within his community.
50.8
Avg Likes/Tweet
622.0
Avg Retweets/Tweet
164,466
Total Likes
2,013,992
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
1
Median Retweets
60
75th Percentile
92,654
Top Tweet
1.16
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
17.9%
Original
39.9%
Replies
20.9%
Retweets
21.3%
Quotes
0.0%
Threads
0.6%
With Media
45.5%
With Links
15.4%
With #Tags
70.6%
With @Mentions
8.2%
With Emojis
100
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.23
Reply/Original Ratio
1.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.4%
Weekday Posts
28.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 677 retweets (21% 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 3,238 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 food enthusiasts, travelers, and fans of his TV and book work. They are likely interested in culinary adventures and entertainment.
Average
Audience Quality
28.6%
Suspicion Index
36.2%
Low-Quality %
20
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.7%
Empty Bio
38.9%
<10 Tweets
8.4%
Mass Following (>2K)
0.0%
New (<90 days)
60.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.7%
No URL
28.7%
<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.
61,991,797
Total Potential Reach
20
Median Follower Reach
115
75th Percentile Reach
4.5%
>1K followers
0.7%
>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).
44.1%
Creators
22,033 accounts
17.0%
Consumers
8,520 accounts
38.9%
Dormant
19,447 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):
1,024
Verified Followers
1.02% of total
10,862
Protected Accounts
10.86% 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 |
|---|---|---|---|
| @LFC | 23,613,504 | Sports Team | Football, Anti-hate, Unity |
| @PostMalone | 7,013,349 | Musician | Music, Tattoos, Beer |
| @Olympics | 6,410,696 | Sports Organization | Inspiring, Friendship, Excellence |
| @jakepaul | 4,596,324 | Boxer | Boxing, Influencer, Content Creator |
| @GuyFieri | 3,531,956 | Chef | Food, Flavor, Cooking |
| @Alex_OxChambo | 3,072,137 | Footballer | Liverpool FC, England International, NikeUK Ambassador |
| @HISTORY | 2,799,668 | Historian | past, present, future |
| @ava | 2,629,000 | - | - |
| @SteveNash | 2,522,349 | Basketball Player | Basketball, Philanthropy, Community |
| @USMNT | 2,339,772 | Soccer Player | Soccer, United States, Men's National Team |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
57,482
Followers With Bio
42,518
Followers Without Bio
57.48%
% With Bio
42.52%
% 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 3,238 analyzed377,768
Combined Engagement
0
Total Likes
377,768
Total Retweets
75,554
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @strobist: 360-degree action cams finally finding a valid use case https://t.co/bcRgfF0s5v
RT @buitengebieden: The ending.. 😂 https://t.co/AaVOUAXCdw
RT @benyahr: We literally just want healthcare
RT @MeCookieMonster: Me no cry because cookie is finished. Me smile because cookie happened.
RT @microscopicture: most detailed image of a human cell to date https://t.co/XnI8WTuoQO
Key Insights & Takeaways
His tweets often include personal anecdotes and behind-the-scenes moments, which resonate with his audience. He frequently interacts with fans and shares updates about his projects and travels. His use of hashtags and links to external content helps drive engagement and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 581,895
- + High community engagement through conversations
- + 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 @AdamRichman reveals an well-established Twitter presence with 581,895 followers. The account demonstrates a conversation-first approach, averaging 672.8 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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