Minnesota United FC
official @mls team. unofficial @oasis fan page
174,413
Followers
289
Following
69,393
Tweets
135.1
Avg Engagement
1,486
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MNUFC'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:2010-01-08
- Verification:Yes
- Location:Twin Cities, Minnesota
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:122.9
- Avg Retweets per Tweet:12.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsThe account consistently receives high average likes and retweets, indicating strong audience interaction. The use of fan-driven content and team achievements boosts engagement levels.
122.9
Avg Likes/Tweet
12.3
Avg Retweets/Tweet
399,071
Total Likes
39,806
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
38
Median Likes
2
Median Retweets
92
75th Percentile
64,227
Top Tweet
0.77
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
70.5%
Original
13.2%
Replies
9.7%
Retweets
6.5%
Quotes
0.0%
Threads
0.4%
With Media
72.6%
With Links
21.1%
With #Tags
34.9%
With @Mentions
28.4%
With Emojis
87
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.19
Reply/Original Ratio
0.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
53.0%
Weekday Posts
47.0%
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 316 retweets (10% 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 50,000 followersThe primary audience includes MLS fans and supporters of Manchester United FC, with a secondary focus on Oasis music fans. The audience is likely interested in sports, music, and fan culture.
Average
Audience Quality
23.1%
Suspicion Index
27.3%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.7%
Empty Bio
24.8%
<10 Tweets
13.2%
Mass Following (>2K)
0.0%
New (<90 days)
47.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.1%
No URL
17.0%
<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.
58,944,687
Total Potential Reach
43
Median Follower Reach
213
75th Percentile Reach
7.3%
>1K followers
0.9%
>10K followers
0.2%
>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).
55.5%
Creators
27,750 accounts
19.7%
Consumers
9,852 accounts
24.8%
Dormant
12,398 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):
503
Verified Followers
0.5% of total
11,740
Protected Accounts
11.62% 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 | 14,734,126 | - | - |
| @JohnCena | 14,100,496 | Wrestler | Wrestling, Motivation, Self-promotion |
| @KaizerChiefs | 2,780,994 | Football Club | Football, Soccer, Marketing |
| @KameronBennett | 1,821,428 | DJ | Music, DJing, Booking |
| @Vikings | 1,536,686 | Sports Team | Football, Minnesota, NFL |
| @danielmarven | 901,066 | Entrepreneur | Entrepreneur, Activist, Artist |
| @KickOffMagazine | 896,318 | Sports Journalist | Football, Soccer, News |
| @lamitadmas1 | 861,196 | Sports Fan | Boca Juniors, Passion, Xeneize |
| @ClubPueblaMX | 855,714 | Soccer Club | Futbol, LigaBBVAMx, CopaMx |
| @ZachBoychuk | 828,713 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,119
Followers With Bio
39,878
Followers Without Bio
60.52%
% With Bio
39.48%
% 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 analyzed151,831
Combined Engagement
144,381
Total Likes
7,450
Total Retweets
30,366
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
60%
With Links
Topical Analysis:
we beat a Premier League team tonight, what have you done? https://t.co/r7eLMEup93
.@Everton cheers mates!
yo @Everton, cool it
keeping up with the Premier League https://t.co/xPbJ7CII7k
I'm just going to leave this here... 👀 https://t.co/HUEkcMEsoH
Key Insights & Takeaways
The account blends official team content with fan interactions, creating a unique identity. It uses humor and casual language to connect with followers, such as referencing Oasis and Everton. High engagement suggests that a mix of sports and music-related content resonates well with the audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 174,413
- + 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 @MNUFC reveals an well-established Twitter presence with 174,413 followers. The account demonstrates a content-creator strategy, averaging 135.1 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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