Annalisa Cuzzocrea
Vicedirettrice La Stampa. Ha scritto “Che fine hanno fatto i bambini”, Piemme. Retweet is not endorsement. Dal lunedì al venerdì il podcast Daytime
114468
Followers
1893
Following
43326
Tweets
582,3
Avg Engagement
551
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @la_kuzzo'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:2011-10-11
- Verification:No
- Location:Roma
Data Summary
- Tweets Analyzed:3245
- Avg Likes per Tweet:60,4
- Avg Retweets per Tweet:521,8
- Followers Analyzed:50000
Engagement Analysis
Based on 3245 tweetsLa_kuzzo's tweets show moderate to high engagement, with a focus on political and social topics that resonate with her audience. Retweets and likes indicate a strong interest in her commentary.
60,4
Avg Likes/Tweet
521,8
Avg Retweets/Tweet
196138
Total Likes
1693297
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
10
Median Retweets
90
75th Percentile
421616
Top Tweet
5,09
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
14,1%
Original
7,8%
Replies
76,7%
Retweets
1,4%
Quotes
0,0%
Threads
0,2%
With Media
77,6%
With Links
29,0%
With #Tags
88,0%
With @Mentions
7,0%
With Emojis
165
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,55
Reply/Original Ratio
0,02
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
76,0%
Weekday Posts
24,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3245 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 2490 retweets (77% 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 3245 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 50000 followersHer audience is primarily interested in politics, social issues, and media commentary. They are likely to be informed individuals who follow Italian politics and public discourse.
Average
Audience Quality
27,5%
Suspicion Index
39,2%
Low-Quality %
17
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54,3%
Empty Bio
34,3%
<10 Tweets
5,9%
Mass Following (>2K)
0,0%
New (<90 days)
56,5%
Low Ratio (<0.1)
0,0%
New (<180 days)
90,0%
No URL
24,0%
<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.
44847635
Total Potential Reach
17
Median Follower Reach
90
75th Percentile Reach
4,3%
>1K followers
0,6%
>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).
43,7%
Creators
21866 accounts
22,0%
Consumers
10976 accounts
34,3%
Dormant
17158 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):
405
Verified Followers
0.4% of total
6525
Protected Accounts
6.46% of total
7 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 | 14106751 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4201272 | - | - |
| @matteorenzi | 3381190 | Politician | Politics, Italy, Florence |
| @6BillionPeople | 2038885 | - | - |
| @NicoSavi | 1758855 | Broadcaster | Lucca, Metanopoli, giovane old |
| @LucaBizzarri | 1648770 | Attore | attore, presentatore, teatro |
| @LaStampa | 1367787 | News outlet | Notizie, inchieste, analisi |
| @soledadobrien | 1320650 | Journalist | working, mom, journalist |
| @CremoniniCesare | 1204586 | Musician | Musica, Bologna, Scrittura |
| @beppesevergnini | 1128348 | Journalist | Travel, Culture, Humor |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
50943
Followers With Bio
50050
Followers Without Bio
50.44%
% With Bio
49.56%
% 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 3245 analyzed610209
Combined Engagement
0
Total Likes
610209
Total Retweets
122042
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @GretaThunberg: this is what happens when you don’t recycle your pizza boxes
RT @HistoryInPics: First ever recorded snowball fight (1897) https://t.co/c6t6A0Mgo0
RT @FridaGhitis: The scenes in Iran are astonishing. How far will these protests go? https://t.co/AJeHB0yyYB
RT @brfootball: MOROCCO ARE THE FIRST AFRICAN TEAM TO REACH THE WORLD CUP SEMIFINALS 🇲🇦🌍 https://t.co/iwjhxvGuCd
RT @alanshearer: I have informed the BBC that I won’t be appearing on MOTD tomorrow night.
Key Insights & Takeaways
Her content often highlights political scandals and social injustices, which drive engagement. She uses her platform to critique government actions and public figures, which aligns with her journalistic role. Her tweets are concise and impactful, focusing on real-world issues that resonate with her audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 114468
- + 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 @la_kuzzo reveals an well-established Twitter presence with 114468 followers. The account demonstrates a content-creator strategy, averaging 582,3 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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