SoulCycle
Mind Altering Fitness. We move people to move the world 🌎
246,587
Followers
306
Following
100,628
Tweets
8.1
Avg Engagement
535
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @soulcycle'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:2009-06-20
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,187
- Avg Likes per Tweet:5.3
- Avg Retweets per Tweet:2.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,187 tweetsThe account maintains a consistent level of engagement with average likes and retweets, indicating a loyal and active follower base. The use of humor and relatable content helps drive interaction.
5.3
Avg Likes/Tweet
2.8
Avg Retweets/Tweet
16,830
Total Likes
8,838
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
2
75th Percentile
1,566
Top Tweet
0.03
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
8.0%
Original
82.7%
Replies
6.6%
Retweets
2.6%
Quotes
0.0%
Threads
0.1%
With Media
13.4%
With Links
6.1%
With #Tags
91.7%
With @Mentions
14.9%
With Emojis
76
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
10.34
Reply/Original Ratio
0.4
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
84.9%
Weekday Posts
15.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,187 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 211 retweets (7% 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 3,187 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 primary audience is health-conscious individuals, particularly millennials and Gen Z, interested in fitness and wellness. The content also appeals to those looking for motivation and humor in their daily routines.
Average
Audience Quality
34.7%
Suspicion Index
49.7%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.6%
Empty Bio
57.0%
<10 Tweets
7.7%
Mass Following (>2K)
0.0%
New (<90 days)
62.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.0%
No URL
44.8%
<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.
84,475,287
Total Potential Reach
8
Median Follower Reach
70
75th Percentile Reach
4.5%
>1K followers
0.8%
>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).
29.2%
Creators
14,583 accounts
13.9%
Consumers
6,935 accounts
57.0%
Dormant
28,482 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):
236
Verified Followers
0.23% of total
6,782
Protected Accounts
6.72% 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 |
|---|---|---|---|
| @JohnCena | 14,101,244 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AppleMusic | 10,297,523 | Music streaming | Music, Social Justice, Diversity |
| @tylerperry | 6,703,323 | Filmmaker | Writer, Director, Producer |
| @radioleary | 2,657,186 | - | - |
| @6BillionPeople | 2,034,934 | - | - |
| @shondarhimes | 1,931,638 | TV Producer | - |
| @KameronBennett | 1,814,183 | DJ | Music, DJing, Booking |
| @ObispoPascal | 1,707,806 | Singer | Music, Album, Vinyl |
| @PeytonList | 1,658,549 | Actress | Actress, Fashion, Travel |
| @StaceySolomon | 1,558,913 | TV Personality | Family, TV, Singing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,856
Followers With Bio
62,141
Followers Without Bio
38.47%
% With Bio
61.53%
% 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 3,187 analyzed4,791
Combined Engagement
2,495
Total Likes
2,296
Total Retweets
958
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
A note from our CEO https://t.co/UwxBWR76B0
RT @Genius: pool side convo about your summer last night
No one: Me: https://t.co/xVi3YwsuTW
RT @DanneelHarris: Hey guys we are throwing a workout party at SoulCycle in Austin for a good cause! On Sept. 15, @jensenackles and I will…
My SoulCycle Instructor: "how is everyone feeling this morning?" My brain - Don’t say it Don’t say it Don’t say it Don’t say it Don’t say it Don’t say it Don’t say it Don’t say it Don’t say it Don’t say it Don’t say it Don’t say it Me: "WOOOOoooooOOOOOOooo!!!"
Key Insights & Takeaways
The account uses humor and relatable scenarios to connect with followers. It highlights the personal and emotional journey of fitness. The CEO's message adds a layer of authenticity and leadership.
Strengths
- + Established follower base of 246,587
- + 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 @soulcycle reveals an growing Twitter presence with 246,587 followers. The account demonstrates a conversation-first approach, averaging 8.1 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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