Laura Cremaschi
INSTAGRAM: https://www.facebook.com/unsupportedbrowser Facebook: https://www.facebook.com/unsupportedbrowser BONAS di AVANTI UN ALTRO 2017
70,836
Followers
258
Following
20,639
Tweets
96.8
Avg Engagement
159
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Cremaschina'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:2011-02-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,104
- Avg Likes per Tweet:26.0
- Avg Retweets per Tweet:70.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,104 tweetsThe account maintains a steady level of engagement with an average of 510 likes and 88 retweets per tweet. The content seems to resonate well with the audience, as indicated by the consistent interaction.
26.0
Avg Likes/Tweet
70.8
Avg Retweets/Tweet
80,775
Total Likes
219,736
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
4
Median Retweets
58
75th Percentile
12,527
Top Tweet
1.37
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
46.9%
Original
5.6%
Replies
47.5%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
43.1%
With Links
71.6%
With #Tags
54.4%
With @Mentions
35.3%
With Emojis
88
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.5%
Weekday Posts
29.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,104 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 1,473 retweets (47% 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 3,104 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 likely includes young adults interested in lifestyle, fashion, and motivational content. They may follow for visual inspiration and daily positivity.
Below Average
Audience Quality
36.2%
Suspicion Index
41.4%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.2%
Empty Bio
33.9%
<10 Tweets
25.1%
Mass Following (>2K)
0.0%
New (<90 days)
74.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.6%
No URL
22.6%
<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.
2,570,278
Total Potential Reach
35
Median Follower Reach
121
75th Percentile Reach
2.7%
>1K followers
0.2%
>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).
41.8%
Creators
4,184 accounts
24.3%
Consumers
2,428 accounts
33.9%
Dormant
3,388 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):
6
Verified Followers
0.06% of total
1,623
Protected Accounts
16.23% of total
6 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 |
|---|---|---|---|
| @peregopaola | 314,948 | TV Host | - |
| @khalsih1 | 277,776 | Presenter | Sports, Broadcasting, Media |
| @officialmaz | 112,732 | TV Host | Calcio, Viaggi, Natura |
| @dea_channel | 40,285 | - | - |
| @NicolaRaiano | 35,755 | - | - |
| @niccolo_zaniolo | 32,425 | - | - |
| @JayMuscle1 | 30,782 | - | - |
| @Toni_ct_1 | 29,906 | - | - |
| @mirnyelv | 27,519 | - | - |
| @RAMOMZAGO_SOLA | 25,705 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3,977
Followers With Bio
6,023
Followers Without Bio
39.77%
% With Bio
60.23%
% 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 3,104 analyzed38,761
Combined Engagement
0
Total Likes
38,761
Total Retweets
7,752
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @neymarjr: 🎂 https://t.co/7O3uTaVVNx
RT @crocerossa: Centri Emergenza #CRI attivati per intervento zone colpite. Cosa fare in caso di ulteriori scosse di #terremoto. https://t.co/g4H0O0FcH7
RT @Fedez: Cuore in arresto, favorisca i sentimenti. 💍❤️ https://t.co/0m39N1lrND
RT @BleacherReport: The sports world lost a legend today. RIP Kobe Bryant. https://t.co/SwgFUndUee
RT @sempreciro: I bambini lo sanno quando sei triste.Ti vengono vicino e ti fanno credere di aver bisogno di coccole. Ed invece sono loro che le fanno a te.
Key Insights & Takeaways
The user frequently shares visually appealing content, likely focusing on aesthetics and lifestyle. The engagement is moderate but consistent, suggesting a loyal and active follower base. The use of emojis and short, catchy phrases indicates a casual and approachable tone.
Strengths
- + Established follower base of 70,836
- + 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 @Cremaschina reveals an growing Twitter presence with 70,836 followers. The account demonstrates a content-creator strategy, averaging 96.8 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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