Nicola Savino
Born in Lucca,raised in Metanopoli.
1,739,946
Followers
971
Following
18,569
Tweets
458.5
Avg Engagement
1,865
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NicoSavi'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: Mega Influencer (1M+)
- Account Age:2010-12-19
- Verification:No
- Location:Milano
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:110.6
- Avg Retweets per Tweet:347.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,236 tweetsNicoSavi's tweets receive high engagement, with an average of 6,796 likes and 695 retweets per tweet.
110.6
Avg Likes/Tweet
347.9
Avg Retweets/Tweet
358,055
Total Likes
1,125,720
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
1
Median Retweets
56
75th Percentile
589,063
Top Tweet
0.26
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
11.1%
Original
62.3%
Replies
19.7%
Retweets
6.9%
Quotes
0.0%
Threads
0.1%
With Media
24.6%
With Links
21.4%
With #Tags
84.7%
With @Mentions
30.8%
With Emojis
75
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.62
Reply/Original Ratio
0.35
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.7%
Weekday Posts
28.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 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 637 retweets (20% 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 3,236 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 appears to be interested in personal stories, emotional connections, and motivational messages.
Below Average
Audience Quality
39.3%
Suspicion Index
56.2%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62.5%
Empty Bio
63.7%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
79.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.9%
No URL
49.9%
<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.
9,685,027
Total Potential Reach
2
Median Follower Reach
12
75th Percentile Reach
1.3%
>1K followers
0.2%
>10K followers
0.1%
>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).
18.1%
Creators
9,030 accounts
18.3%
Consumers
9,128 accounts
63.7%
Dormant
31,842 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):
130
Verified Followers
0.13% of total
6,275
Protected Accounts
6.28% of total
4 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 |
|---|---|---|---|
| @NaliOfficial | 1,022,923 | Singer | Music, Fashion, Beauty |
| @EnricoLetta | 742,317 | Politician | Politics, Leadership, Think tank |
| @lbertozzi | 652,277 | Sports Journalist | Futebol internacional, ESPN Brasil, Fox Sports Brasil |
| @RaiPlay | 590,319 | - | - |
| @FerzanOzpetek | 389,311 | Film Director | Film, Opera, Instagram |
| @concitadeg | 385,380 | Cronista | Cronista, Storie, Repubblica |
| @ivanbasso | 332,178 | Cyclist | Cycling, Team Management, Bikes |
| @ferrarailgrasso | 319,207 | Journalist | politics, journalism, Italy |
| @atm_informa | 299,262 | Public Transport | Electric vehicles, Public transport, Milan |
| @DeAnna4Congress | 288,519 | Politician | Politics, Author, MAGA |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,387
Followers With Bio
58,613
Followers Without Bio
41.39%
% With Bio
58.61%
% 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 3,236 analyzed1,010,882
Combined Engagement
12,516
Total Likes
998,366
Total Retweets
202,176
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @BarackObama: Kobe was a legend on the court and just getting started in what would have been just as meaningful a second act. To lose G…
RT @BarackObama: We are grieving with Parkland. But we are not powerless. Caring for our kids is our first job. And until we can honestly s…
RT @BleacherReport: Staples Center tonight 🙏 https://t.co/PBQRQ8FzeG
RT @GretaThunberg: Fridays for future. The school strike continues! #climatestrike #klimatstrejk #FridaysForFuture https://t.co/5jej011Qtp
Nice to meet u Louis, I’m Matilda’s sottone. https://t.co/V2qxObop9V
Key Insights & Takeaways
The user frequently shares personal and emotional content, indicating a focus on authenticity and connection. They engage with fans and express gratitude, which likely strengthens community bonds. Their content often includes references to specific individuals, suggesting a close-knit fan base and personal relationships.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,739,946
- + 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 @NicoSavi reveals an well-established Twitter presence with 1,739,946 followers. The account demonstrates a conversation-first approach, averaging 458.5 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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