Pietro Balzano Prota
🇮🇹 - HEAD OF MEDIA at @Firs1_Sports 📱 Giornalista ✍️ former director @radiorossonera
56,731
Followers
2,441
Following
74,767
Tweets
186.4
Avg Engagement
318
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @PBPcalcio'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:2015-07-07
- Verification:No
- Location:Milan, Lombardy
Data Summary
- Tweets Analyzed:3,249
- Avg Likes per Tweet:100.6
- Avg Retweets per Tweet:85.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,249 tweetsThe account has a high average engagement rate with likes and retweets, indicating that their content is well-received by followers. The consistent interaction suggests a loyal and interested audience.
100.6
Avg Likes/Tweet
85.8
Avg Retweets/Tweet
326,881
Total Likes
278,869
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
3
Median Likes
0
Median Retweets
80
75th Percentile
147,924
Top Tweet
3.29
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
31.1%
Original
54.5%
Replies
9.2%
Retweets
5.2%
Quotes
0.0%
Threads
0.1%
With Media
25.7%
With Links
22.3%
With #Tags
72.5%
With @Mentions
34.4%
With Emojis
95
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.75
Reply/Original Ratio
0.56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
68.4%
Weekday Posts
31.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,249 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 300 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 3,249 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 10,000 followersThe audience primarily consists of football fans, especially those interested in Italian clubs and sports journalism. They are likely to be active on social media and interested in real-time updates and analysis.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
31
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
100.0%
<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.
20,873,155
Total Potential Reach
31
Median Follower Reach
138
75th Percentile Reach
3.5%
>1K followers
0.5%
>10K followers
0.1%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
610
Protected Accounts
6.1% 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 | 14,098,329 | Wrestler | Wrestling, Motivation, Self-promotion |
| @VittorioSgarbi | 895,462 | Art Historian | Art, History, Culture |
| @zaycevartist | 585,609 | - | - |
| @IamMzilikazi | 555,255 | Musician | Pan-African music, Album, Rise |
| @Moreno | 429,498 | Influencer | Business, Manager, Serious |
| @angelomangiante | 370,627 | Journalist | Football, Sports, Journalism |
| @Gunnersc0m | 352,946 | Sports Media | Football, Arsenal, Betting |
| @WhistleFC | 287,229 | - | - |
| @MatteMoretto | 210,609 | Sports journalist | Calciomercato, Italy, Spain |
| @Kubwa5Safaris | 160,050 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,279
Followers With Bio
4,721
Followers Without Bio
52.79%
% With Bio
47.21%
% 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 3,249 analyzed220,668
Combined Engagement
4,700
Total Likes
215,968
Total Retweets
44,134
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
RT @Benzema: Le Ballon D’Or Du Peuple https://t.co/IxsDmR2451
RT @KMbappe: Pray for the King 👑🙏🏽🇧🇷 @Pele
RT @elonmusk: Followed by creator monetization for all forms of content
RT @acmilan: AC Milan profondamente addolorato piange la scomparsa dell’indimenticabile Silvio Berlusconi e si stringe con affetto alla famiglia, ai collaboratori e agli amici più cari. “Domani sogneremo altri traguardi, inventeremo altre sfide, cercheremo altre vittorie. Che val
caption this… https://t.co/bYUHsJ2PSo
Key Insights & Takeaways
The account frequently shares content related to AC Milan and other football clubs, indicating a strong focus on Italian football. The use of hashtags and links suggests an effort to drive traffic and engagement through multimedia content. The account's verified status is zero, which may indicate a personal or independent media presence rather than an official entity.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 56,731
- + High community engagement through conversations
- + 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 @PBPcalcio reveals an well-established Twitter presence with 56,731 followers. The account demonstrates a conversation-first approach, averaging 186.4 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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