Melbourne Victory
Official Twitter account of Melbourne Victory Football Club
105,760
Followers
6,211
Following
43,118
Tweets
66.6
Avg Engagement
745
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @gomvfc'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:2009-05-28
- Verification:No
- Location:Melbourne, Victoria
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:62.3
- Avg Retweets per Tweet:4.2
- Followers Analyzed:9,998
Engagement Analysis
Based on 3,250 tweetsThe account maintains a steady level of engagement, with an average of 2,871 likes and 168 retweets per tweet. The content is designed to foster interaction and community among followers.
62.3
Avg Likes/Tweet
4.2
Avg Retweets/Tweet
202,549
Total Likes
13,765
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
26
Median Likes
1
Median Retweets
64
75th Percentile
6,476
Top Tweet
0.63
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
81.5%
Original
12.3%
Replies
1.9%
Retweets
4.3%
Quotes
0.0%
Threads
0.1%
With Media
45.6%
With Links
31.8%
With #Tags
17.2%
With @Mentions
45.8%
With Emojis
106
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.15
Reply/Original Ratio
2.24
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
54.7%
Weekday Posts
45.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 62 retweets (2% 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 3,250 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 consists of football fans, particularly those interested in the Melbourne Victory team. The audience is likely to be sports enthusiasts from Australia and possibly international supporters of the club.
Average
Audience Quality
28.0%
Suspicion Index
31.8%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.3%
Empty Bio
32.0%
<10 Tweets
17.7%
Mass Following (>2K)
0.0%
New (<90 days)
55.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.0%
No URL
22.3%
<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.
27,649,750
Total Potential Reach
35
Median Follower Reach
181
75th Percentile Reach
5.6%
>1K followers
1.0%
>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).
47.5%
Creators
4,749 accounts
20.5%
Consumers
2,045 accounts
32.0%
Dormant
3,204 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):
63
Verified Followers
0.63% of total
851
Protected Accounts
8.51% of total
4 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 | 14,093,333 | Wrestler | Wrestling, Motivation, Self-promotion |
| @luisnani | 3,886,748 | Footballer | Football, Champion, Winner |
| @ZachBoychuk | 827,948 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @IamMzilikazi | 550,136 | Musician | Pan-African music, Album, Rise |
| @FootyScran | 540,601 | Food Blogger | football, food, photography |
| @THE_THEO_FORD | 472,440 | - | - |
| @GenoaCFC | 394,009 | Football Club | Football, History, Passion |
| @sistoney67 | 387,969 | Football Reporter | Football, Reporter, BBC Sport |
| @HerthaBSC | 369,410 | Football Club | Football, Berlin, eSports |
| @canva | 281,003 | Design | design, creativity, assistance |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,868
Followers With Bio
4,132
Followers Without Bio
58.68%
% With Bio
41.32%
% 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 3,250 analyzed23,877
Combined Engagement
20,167
Total Likes
3,710
Total Retweets
4,775
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
Things you love to see 😍 https://t.co/EqPsw0SRNM
Football friends! 😍 🇪🇸 @D_DeGea 🇵🇹 @luisnani https://t.co/PzcVpKzRAZ
The match has been abandoned.
He’s here! Welcome @luisnani!
RT @luisnani: What an unforgettable night! 🙌🏾 Incredible that my @gomvfc debut would be against @ManUtd, a club that has given me so much. Thank you to all the fans, it was amazing! 💙❤️ #MVFC #MelbourneVictory #MUFC #ManchesterUnited #Friendly #Australia #Aleague #football #memor
Key Insights & Takeaways
The account frequently shares content that highlights positive and emotional moments, such as fan interactions and celebratory posts. It also communicates important match-related updates, such as match cancellations, which can impact fan engagement. The use of emojis and direct mentions of players helps to create a more personal and engaging experience for followers.
Strengths
- + Established follower base of 105,760
- + 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 @gomvfc reveals an growing Twitter presence with 105,760 followers. The account demonstrates a content-creator strategy, averaging 66.6 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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