Mediaset Infinity
Il servizio di streaming del gruppo #Mediaset
286,219
Followers
416
Following
59,651
Tweets
59.6
Avg Engagement
266
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MedInfinityIT'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:2012-09-27
- Verification:Yes
- Location:Cologno Monzese, Lombardia
Data Summary
- Tweets Analyzed:3,229
- Avg Likes per Tweet:48.3
- Avg Retweets per Tweet:11.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,229 tweetsThe account sees a steady level of engagement with average likes and retweets, indicating a loyal but not highly interactive audience. The content is well-received but not viral.
48.3
Avg Likes/Tweet
11.3
Avg Retweets/Tweet
155,982
Total Likes
36,491
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
17
Median Likes
5
Median Retweets
45
75th Percentile
2,411
Top Tweet
0.21
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
74.0%
Original
0.2%
Replies
25.7%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
83.7%
With Links
92.7%
With #Tags
35.4%
With @Mentions
69.2%
With Emojis
144
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
78.5%
Weekday Posts
21.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,229 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 830 retweets (26% 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 3,229 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 likely composed of fans of Mediaset TV shows and media enthusiasts. They are interested in entertainment news, show promotions, and behind-the-scenes content.
Below Average
Audience Quality
41.5%
Suspicion Index
62.7%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
70.7%
Empty Bio
68.2%
<10 Tweets
1.8%
Mass Following (>2K)
0.0%
New (<90 days)
80.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
97.7%
No URL
54.8%
<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.
19,334,862
Total Potential Reach
1
Median Follower Reach
6
75th Percentile Reach
0.9%
>1K followers
0.1%
>10K followers
0.0%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
15.9%
Creators
7,928 accounts
16.0%
Consumers
7,976 accounts
68.2%
Dormant
34,096 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):
43
Verified Followers
0.04% of total
5,673
Protected Accounts
5.62% of total
3 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 | 14,102,311 | Wrestler | Wrestling, Motivation, Self-promotion |
| @alfosignorini | 690,586 | - | - |
| @Giorgia_Palmas | 503,218 | Actress | Fashion, Beauty, Lifestyle |
| @sportmediaset | 459,238 | Sports News | Sport, News, Tempo reale |
| @simone_paciello | 331,044 | Influencer | crisis, llamas, humor |
| @PrimeVideoIT | 280,484 | Streaming | celebrities, hunters, reality TV |
| @tvsorrisi | 210,278 | Entertainment | TV, Sorrisi, Canzoni |
| @Sabatini | 153,189 | Influencer | - |
| @CarmeChaparro | 151,820 | Journalist | Periodismo, Escritura, Mujeres |
| @mfyapimtv | 122,745 | Production | TV, production, entertainment |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
35,140
Followers With Bio
65,859
Followers Without Bio
34.79%
% With Bio
65.21%
% 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 3,229 analyzed9,027
Combined Engagement
8,423
Total Likes
604
Total Retweets
1,805
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Sei stato un gigante, nella vita e nel tuo modo di fare televisione. Ci mancherai, Maurizio. https://t.co/uf7QWB9Y1A
👀❤️ #Amici22 https://t.co/tihIFJWnPl
Non vi è già venuta voglia di riguardare l'intervista dei #Prelemi a #Verissimo? 😍 https://t.co/jbWTEc03Wm
Maria. ❤️ #CePostaPerTe https://t.co/p25ry4p9MQ
Giulia, lui ti ama! 😍😍😍 #Verissimo #Prelemi https://t.co/llZGfog6Yv
Key Insights & Takeaways
The account often shares content related to popular TV shows and media events, which helps maintain audience interest. It uses hashtags effectively to increase visibility and engagement. The top tweets include emotional and nostalgic messages, suggesting a focus on connecting with the audience on an emotional level.
Strengths
- + Established follower base of 286,219
- + 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 @MedInfinityIT reveals an growing Twitter presence with 286,219 followers. The account demonstrates a content-creator strategy, averaging 59.6 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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