St Louis CITY SC
The newest club in @MLS. Playing in CITYPARK. #AllForCITY
104,723
Followers
1,710
Following
7,746
Tweets
269.0
Avg Engagement
573
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @stlCITYsc'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:2018-09-21
- Verification:No
- Location:St. Louis, MO
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:243.4
- Avg Retweets per Tweet:25.6
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,248 tweetsThe account shows strong engagement with an average of 5,995 likes and 887 retweets per tweet. The content is tailored to generate excitement and interaction around the team's activities.
243.4
Avg Likes/Tweet
25.6
Avg Retweets/Tweet
790,466
Total Likes
83,138
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
91
Median Likes
8
Median Retweets
289
75th Percentile
8,424
Top Tweet
2.57
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
70.0%
Original
19.2%
Replies
6.1%
Retweets
4.7%
Quotes
0.0%
Threads
0.4%
With Media
79.6%
With Links
38.5%
With #Tags
46.6%
With @Mentions
54.4%
With Emojis
97
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
61.2%
Weekday Posts
38.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 199 retweets (6% 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 3,248 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 9,998 followersThe primary audience is likely sports fans, particularly those interested in MLS and the St. Louis CITYSC team. The content appeals to supporters looking for updates on players and match events.
Average
Audience Quality
23.8%
Suspicion Index
39.0%
Low-Quality %
28
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
52.9%
Empty Bio
33.7%
<10 Tweets
6.3%
Mass Following (>2K)
0.0%
New (<90 days)
38.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.1%
No URL
25.1%
<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.
6,090,711
Total Potential Reach
28
Median Follower Reach
142
75th Percentile Reach
4.3%
>1K followers
0.5%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
47.1%
Creators
4,713 accounts
19.2%
Consumers
1,918 accounts
33.7%
Dormant
3,367 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):
80
Verified Followers
0.8% of total
1,307
Protected Accounts
13.07% of total
6 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 |
|---|---|---|---|
| @LeBronJames | 962,115 | - | - |
| @NOH8Campaign | 799,163 | Activism | equality, bullying, discrimination |
| @jonmorosi | 442,300 | Sports Journalist | Baseball, Hockey, Broadcasting |
| @newyorkgrimaldi | 183,422 | Chef | New York, Pizza, Food |
| @MNUFC | 169,954 | Soccer Team | Soccer, MLS, Offseason |
| @travisa850 | 129,920 | Cannabis Advocate | Cannabis, GreenLove, Travel |
| @PopulismUpdates | 106,163 | News Analyst | Global realignment, populism, fun |
| @kharyp | 98,046 | Politician | Gun Violence, Reproductive Rights, Sneakers |
| @adryanmiguel | 97,529 | Radio Host | BAND, Criciúma, AM/FM |
| @GaizkaMendieta6 | 77,989 | Football Pundit | Football, LaLiga, Pundit |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,712
Followers With Bio
5,288
Followers Without Bio
47.12%
% With Bio
52.88%
% 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 3,248 analyzed37,936
Combined Engagement
32,952
Total Likes
4,984
Total Retweets
7,587
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Welcome to CITY, Njabulo Blom! 🇿🇦 We have acquired the versatile 23-year old South African national team midfielder from @KaizerChiefs. 🔗https://t.co/VeHdCxfkdy https://t.co/3FnoWumdn2
Beautiful scenes at CITYPARK 🫶 3-1 | #STLvCLT | #AllForCITY https://t.co/qQTsXycDz3
First three goals. First three points! 2-3 #ATXvSTL | #AllForCITY https://t.co/cuLpV1Hwa8
https://t.co/rDKlEQFJeh
Stateside 🇿🇦 https://t.co/r0ch6kqGnx
Key Insights & Takeaways
The account frequently highlights player acquisitions and match results, which helps build team identity and fan interest. Content is often linked to official team pages and social media, reinforcing brand consistency and credibility. The use of hashtags like #AllForCITY and #STLvCLT helps in community building and tracking engagement around specific events.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 104,723
- + 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 @stlCITYsc reveals an well-established Twitter presence with 104,723 followers. The account demonstrates a content-creator strategy, averaging 269.0 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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