AC Monza
Official Twitter account of AC Monza ⚪🔴
31,484
Followers
77
Following
11,241
Tweets
57.5
Avg Engagement
398
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ACMonza'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: Mid-Tier (10K+)
- Account Age:2010-05-29
- Verification:No
- Location:Monza
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:52.4
- Avg Retweets per Tweet:5.1
- Followers Analyzed:27,542
Engagement Analysis
Based on 3,250 tweetsThe account maintains a high average engagement with 4,527 likes and 428 retweets per tweet, indicating strong fan interaction and support.
52.4
Avg Likes/Tweet
5.1
Avg Retweets/Tweet
170,427
Total Likes
16,471
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
12
Median Likes
1
Median Retweets
29
75th Percentile
8,822
Top Tweet
1.83
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
84.7%
Original
5.7%
Replies
1.4%
Retweets
8.2%
Quotes
0.0%
Threads
0.2%
With Media
95.1%
With Links
50.1%
With #Tags
18.9%
With @Mentions
96.2%
With Emojis
117
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.07
Reply/Original Ratio
5.89
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.4%
Weekday Posts
30.6%
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 45 retweets (1% 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 27,542 followersThe audience is primarily composed of football fans, especially those loyal to AC Monza, with a focus on emotional and community-driven interactions.
Average
Audience Quality
27.2%
Suspicion Index
32.2%
Low-Quality %
39
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.5%
Empty Bio
29.2%
<10 Tweets
14.7%
Mass Following (>2K)
0.0%
New (<90 days)
57.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
20.8%
<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.
54,770,799
Total Potential Reach
39
Median Follower Reach
188
75th Percentile Reach
6.0%
>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).
53.0%
Creators
14,606 accounts
17.8%
Consumers
4,892 accounts
29.2%
Dormant
8,044 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):
164
Verified Followers
0.6% of total
2,367
Protected Accounts
8.59% 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 |
|---|---|---|---|
| @JohnCena | 14,106,724 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,409 | - | - |
| @OfficialASRoma | 2,304,615 | Football Club | Football, Sports, Italy |
| @BeatsByAssassin | 2,267,203 | Multitalented | Actor, Director, Rapper |
| @DiMarzio | 1,767,066 | Journalist | Calcio, Calciomercato, Libri |
| @NicoSavi | 1,758,759 | Broadcaster | Lucca, Metanopoli, giovane old |
| @KPBofficial | 1,687,568 | Footballer | Football, Fashion, Music |
| @tribundergi | 1,296,824 | Sports Magazine | Football, Culture, Istanbul |
| @play_eFootball | 915,534 | Gaming | Soccer, Gaming, Updates |
| @SerieA | 715,459 | Sports Organization | Football, Competitions, Official |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
15,567
Followers With Bio
11,975
Followers Without Bio
56.52%
% With Bio
43.48%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed30,507
Combined Engagement
27,816
Total Likes
2,691
Total Retweets
6,101
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
“Caro Pablo, siamo tutti qui vicino a te e alla tua famiglia, ti vogliamo bene, continua a lottare come sai fare, sei un guerriero e guarirai presto” Adriano Galliani
SERIE 🅰️🅰️🅰️🅰️🅰️🅰️🅰️🅰️!!!!!!!!!!!! https://t.co/fibbftTvNc
BENTORNATO A CASA 🔥⚪️❤️ #ACMonza #Monza #WelcomeBackPessina https://t.co/bOS1g4fmuC
Benvenuto Stefano Sensi 🔥⚪️🔴 #ACMonza #Monza #WelcomeSensi https://t.co/ScN7MDst8S
GRAZIE RAGAZZI ❤️ MONZA IN SERIE 🅰️!!! https://t.co/zhGAbIAtKC
Key Insights & Takeaways
The account often shares emotional messages and support for players, showing a deep connection with fans. It uses hashtags and emojis to create a sense of community and excitement. The content is highly focused on team events, player returns, and emotional moments.
Strengths
- + Established follower base of 31,484
- + 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 @ACMonza reveals an growing Twitter presence with 31,484 followers. The account demonstrates a content-creator strategy, averaging 57.5 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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