Ryan Foland
Speaker | Sailor | Ginger ⚓️ ⛵️🏝😎 I tweet about #sailing, #speaking, and #startups - 4X TEDx Speaker and 3X Podcast Host
318,107
Followers
238,340
Following
43,849
Tweets
72.1
Avg Engagement
1,782
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ryanfoland'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:2008-07-21
- Verification:No
- Location:Long Beach, CA
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:4.3
- Avg Retweets per Tweet:67.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,238 tweetsHis tweets typically receive an average of 87 likes and 24 retweets, indicating a moderate level of engagement. The content is well-received, with a mix of personal and professional topics resonating with his followers.
4.3
Avg Likes/Tweet
67.7
Avg Retweets/Tweet
14,076
Total Likes
219,231
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
1
Median Retweets
7
75th Percentile
105,500
Top Tweet
0.23
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
32.7%
Original
36.5%
Replies
22.5%
Retweets
8.3%
Quotes
0.0%
Threads
0.4%
With Media
54.7%
With Links
32.1%
With #Tags
77.2%
With @Mentions
21.2%
With Emojis
124
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.12
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.1%
Weekday Posts
22.9%
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 729 retweets (23% 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 professionals in the startup and speaking industries, as well as sailing enthusiasts. The content appeals to those interested in personal growth, business, and maritime culture.
Good
Audience Quality
14.3%
Suspicion Index
8.9%
Low-Quality %
533
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
13.9%
Empty Bio
7.0%
<10 Tweets
34.3%
Mass Following (>2K)
0.0%
New (<90 days)
12.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
63.7%
No URL
4.0%
<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.
215,378,444
Total Potential Reach
533
Median Follower Reach
1,533
75th Percentile Reach
34.6%
>1K followers
5.3%
>10K followers
1.1%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
84.7%
Creators
42,351 accounts
8.3%
Consumers
4,131 accounts
7.0%
Dormant
3,518 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):
2,947
Verified Followers
2.92% of total
7,184
Protected Accounts
7.11% 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 |
|---|---|---|---|
| @JohnCena | 14,103,143 | Wrestler | Wrestling, Motivation, Self-promotion |
| @garyvee | 3,168,399 | Entrepreneur | Family, CEO, Investor |
| @Ahmed1Afify | 3,119,117 | Sports Analyst | Sports, Football, TV |
| @ibrahimabdgawad | 2,279,258 | TV Presenter | Sports, Television, Social Media |
| @KameronBennett | 1,812,648 | DJ | Music, DJing, Booking |
| @toddcarey | 1,685,670 | Musician | Music, Collaboration, Community |
| @StaceySolomon | 1,559,080 | TV Personality | Family, TV, Singing |
| @JETAR9 | 1,526,086 | Inspirational Speaker | Spirituality, Happiness, Clarity |
| @Rt3arb | 1,524,468 | Meteorologist | Politics, News, Middle East |
| @DonnieWahlberg | 1,490,653 | Entertainer | Family, Boston, Entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
88,010
Followers With Bio
12,989
Followers Without Bio
87.14%
% With Bio
12.86%
% 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 analyzed187,064
Combined Engagement
0
Total Likes
187,064
Total Retweets
37,413
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @Y2SHAF: how i feel when i use ‘furthermore’ and ‘therefore‘ in an essay https://t.co/Dio7ZFTgHO
RT @BillNye: The United States we know today was built with the labor of enslaved Black Americans. The last were not freed (officially) unt…
RT @elonmusk: I strongly believe that all managers in a technical area must be technically excellent. Managers in software must write gre…
RT @RexChapman: When I grow up I want to be like Mark Hamill…
RT @david_perell: Read to collect the dots, write to connect them https://t.co/YbgnKKFUNn
Key Insights & Takeaways
Blockchain is not truth, it is integrity. Look out for each other. Be kind. It's free. Today is my birthdayYAY! 42 never felt so good!
Strengths
- + Established follower base of 318,107
- + 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 @ryanfoland reveals an growing Twitter presence with 318,107 followers. The account demonstrates a conversation-first approach, averaging 72.1 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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