Giovanni Albanese
Giornalista sportivo ✍️ Seguo la Juventus ⚪⚫ 📺 @tvdellosport 📲 @Gazzetta_it
78,447
Followers
835
Following
24,561
Tweets
329.6
Avg Engagement
441
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GiovaAlbanese'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:2012-03-13
- Verification:No
- Location:Torino
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:302.4
- Avg Retweets per Tweet:27.2
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,238 tweetsHis tweets typically receive around 3,780 likes and 463 retweets on average, indicating a highly engaged audience.
302.4
Avg Likes/Tweet
27.2
Avg Retweets/Tweet
979,287
Total Likes
88,033
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
152
Median Likes
11
Median Retweets
463
75th Percentile
7,232
Top Tweet
4.2
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
55.5%
Original
16.7%
Replies
25.9%
Retweets
1.9%
Quotes
0.0%
Threads
0.0%
With Media
44.5%
With Links
70.5%
With #Tags
46.0%
With @Mentions
26.7%
With Emojis
137
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.3
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 839 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 3,238 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 followersHis audience is primarily interested in Juventus and Italian sports, with a focus on match analysis and player updates.
Average
Audience Quality
31.3%
Suspicion Index
43.4%
Low-Quality %
14
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.0%
Empty Bio
40.1%
<10 Tweets
9.5%
Mass Following (>2K)
0.0%
New (<90 days)
62.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
28.9%
<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.
6,050,000
Total Potential Reach
14
Median Follower Reach
89
75th Percentile Reach
3.4%
>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).
37.2%
Creators
3,718 accounts
22.7%
Consumers
2,274 accounts
40.1%
Dormant
4,008 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):
42
Verified Followers
0.42% of total
618
Protected Accounts
6.18% 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 |
|---|---|---|---|
| @Amer_Abdulla | 1,465,113 | Sports Commentator | Sports, Commentator, Media |
| @lbertozzi | 653,867 | Sports Journalist | Futebol internacional, ESPN Brasil, Fox Sports Brasil |
| @eurofootcom | 437,996 | Sports Media | Football, Europe, Home |
| @iMiaSanMia | 352,244 | Football Fan | Bayern, Germany, Die Mannschaft |
| @AlfredoPedulla | 296,698 | Journalist | Calcio, Mercato, TV del Calcio |
| @Sabatini | 152,870 | Influencer | - |
| @X99i3 | 127,683 | مترجم | Translation, Saudi clubs, News |
| @plbrasil1 | 92,189 | - | - |
| @DeanJonesSoccer | 91,930 | Soccer Analyst | Transfer news, Podcasting, Brand partnerships |
| @JackPittBrooke | 85,104 | Sports Journalist | Tottenham Hotspur, England, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
4,199
Followers With Bio
5,801
Followers Without Bio
41.99%
% With Bio
58.01%
% 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 3,238 analyzed28,119
Combined Engagement
20,162
Total Likes
7,957
Total Retweets
5,624
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
#Pogba ha scelto il ❤ #Juventus https://t.co/QO0dhAtKcg
RT @PauDybala_JR: Il saluto di tutti voi tifosi ieri è stato per me il più grande premio che potessi portarmi dietro. Grazie 🤍🖤 https://t.co/kytI5XnsDa
#Candreva (in basso a sinistra) tiene in gioco tutti? #Juventus #JuveSalernitana https://t.co/VW5DGv2BuW
La #Juventus l'ha chiusa così. https://t.co/Z3XjLFhQDM
🥁🐙⚪⚫
Key Insights & Takeaways
He frequently shares content related to key players like Pogba and Candreva His tweets often include links to video content, suggesting a multimedia approach He uses hashtags effectively to highlight specific matches and events
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 78,447
- + 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 @GiovaAlbanese reveals an well-established Twitter presence with 78,447 followers. The account demonstrates a content-creator strategy, averaging 329.6 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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