The Crew
The first club in @MLS. Three-time Supporters' Shield winners. 2008 & 2020 MLS Cup Champions. #Crew96 #VamosColumbus
205.910
Followers
1.502
Following
85.159
Tweets
110,3
Avg Engagement
2.402
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ColumbusCrew'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:2008-10-25
- Verification:Yes
- Location:Columbus, Ohio
Data Summary
- Tweets Analyzed:3.245
- Avg Likes per Tweet:98,2
- Avg Retweets per Tweet:12,1
- Followers Analyzed:50.000
Engagement Analysis
Based on 3.245 tweetsThe club's tweets are highly engaging, with a consistent average number of likes and retweets. The use of hashtags and links to game highlights helps drive interaction and interest.
98,2
Avg Likes/Tweet
12,1
Avg Retweets/Tweet
318.686
Total Likes
39.145
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
4
Median Retweets
129
75th Percentile
7.610
Top Tweet
0,54
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
58,5%
Original
30,3%
Replies
9,4%
Retweets
1,7%
Quotes
0,0%
Threads
0,4%
With Media
48,4%
With Links
49,8%
With #Tags
67,1%
With @Mentions
61,5%
With Emojis
86
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,52
Reply/Original Ratio
0,18
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
59,9%
Weekday Posts
40,1%
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 306 retweets (9% 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 primarily soccer fans, especially those who support Columbus Crew and are interested in MLS news and updates. The content appeals to both casual and dedicated fans of the team.
Average
Audience Quality
24,1%
Suspicion Index
27,9%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36,5%
Empty Bio
27,7%
<10 Tweets
12,4%
Mass Following (>2K)
0,0%
New (<90 days)
50,7%
Low Ratio (<0.1)
0,0%
New (<180 days)
87,3%
No URL
19,3%
<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.
67.072.469
Total Potential Reach
40
Median Follower Reach
190
75th Percentile Reach
5,5%
>1K followers
0,8%
>10K followers
0,2%
>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).
53,8%
Creators
26.880 accounts
18,6%
Consumers
9.281 accounts
27,7%
Dormant
13.839 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):
495
Verified Followers
0.49% of total
9.937
Protected Accounts
9.84% 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 |
|---|---|---|---|
| @TwitterSports | 14.735.670 | - | - |
| @JohnCena | 14.099.750 | Wrestler | Wrestling, Motivation, Self-promotion |
| @brfootball | 6.698.305 | Sports Media | Soccer, Sports, News |
| @Wendys | 3.908.975 | Fast Food | Fast food, fries, tweets |
| @cavs | 3.346.824 | Sports Team | Basketball, NBA, G League |
| @USMNT | 2.338.665 | Soccer Player | Soccer, United States, Men's National Team |
| @IanWright0 | 2.282.034 | Footballer | Football, Podcasting, Writing |
| @EzekielElliott | 2.172.453 | Athlete | Football, Running, Ohio State |
| @Bucks | 1.991.973 | Sports Team | Basketball, Travel, Fashion |
| @KameronBennett | 1.817.935 | DJ | Music, DJing, Booking |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58.185
Followers With Bio
42.814
Followers Without Bio
57.61%
% With Bio
42.39%
% 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 analyzed14.267
Combined Engagement
12.489
Total Likes
1.778
Total Retweets
2.853
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
Our No. 4. Our leader. Our captain. https://t.co/AYjwhwPASH
This is the way. #Crew96 | @tipico https://t.co/qzi0c9B782
Magic from El Mago 🪄 #Crew96 | 0-1 https://t.co/OLoyVeNVnh
🗣 CUUUUUUUUUUUCHOOOOOOOOOO #Crew96 | 2-3 https://t.co/D63mrWKKAp
stroLLed, troLLed… then got roLLed https://t.co/nJbUdZ7Cxm
Key Insights & Takeaways
The club emphasizes leadership and team identity through their tweets. They frequently share game highlights and key moments to engage fans. Hashtags like #Crew96 are used to foster a sense of community and loyalty.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 205.910
- + 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 @ColumbusCrew reveals an well-established Twitter presence with 205.910 followers. The account demonstrates a content-creator strategy, averaging 110,3 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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