Giorgia Palmas 🌴
498,199
Followers
174
Following
12,826
Tweets
116.6
Avg Engagement
566
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Giorgia_Palmas'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:2011-12-07
- Verification:No
- Location:Milano
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:67.4
- Avg Retweets per Tweet:49.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsHer tweets receive an average of 1,505 likes and 149 retweets, indicating a moderately engaged audience. The engagement is likely driven by football-related content and promotions.
67.4
Avg Likes/Tweet
49.2
Avg Retweets/Tweet
218,850
Total Likes
159,549
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
28
Median Likes
3
Median Retweets
66
75th Percentile
44,017
Top Tweet
0.23
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
76.7%
Original
7.8%
Replies
13.4%
Retweets
2.1%
Quotes
0.0%
Threads
0.2%
With Media
83.9%
With Links
53.3%
With #Tags
42.7%
With @Mentions
67.4%
With Emojis
119
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.1
Reply/Original Ratio
0.16
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.1%
Weekday Posts
27.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 435 retweets (13% 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 3,246 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 followersHer audience is likely football fans, especially those interested in AC Milan. The content is tailored towards fans who follow the team closely.
Below Average
Audience Quality
36.4%
Suspicion Index
47.8%
Low-Quality %
7
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
58.3%
Empty Bio
50.6%
<10 Tweets
8.4%
Mass Following (>2K)
0.0%
New (<90 days)
76.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
37.2%
<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.
14,206,917
Total Potential Reach
7
Median Follower Reach
41
75th Percentile Reach
1.9%
>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).
28.0%
Creators
13,977 accounts
21.4%
Consumers
10,698 accounts
50.6%
Dormant
25,325 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):
77
Verified Followers
0.08% of total
5,942
Protected Accounts
5.88% 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 |
|---|---|---|---|
| @ClaMarchisio8 | 2,141,884 | Footballer | Calcio, Ambiente, Torino |
| @PReina25 | 1,278,179 | Footballer | Football, Goalkeeping, Family |
| @TheoHernandez | 799,904 | Footballer | Football, Nike, Sponsorship |
| @alfosignorini | 690,809 | - | - |
| @chetempochefa | 556,775 | - | - |
| @Dylan_Bostic | 349,471 | Wrestler | Pro Wrestling, Boxing, Acting |
| @MarcoMelandri33 | 299,312 | Motorcycle Racer | MotoGP, Visittrentino, Racing |
| @DeAnna4Congress | 288,503 | Politician | Politics, Author, MAGA |
| @cmdotcom | 201,422 | Sports Journalist | Football, News, Italy |
| @WWFitalia | 199,392 | Environmental Activist | environment, sustainability, wildlife |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
30,480
Followers With Bio
70,517
Followers Without Bio
30.18%
% With Bio
69.82%
% 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 3,246 analyzed85,167
Combined Engagement
0
Total Likes
85,167
Total Retweets
17,033
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @acmilan: 🏆 SIAMO NOI, SIAMO NOI, I CAMPIONI DELL'ITALIA SIAMO NOI! 🇮🇹 🏆 #SassuoloMilan #SempreMilan #AlwaysWithYou https://t.co/4tEngK…
RT @Twitter: Nothing can cancel Mother's Day.
RT @acmilan: 𝙈𝘼𝙈𝙈𝘼 𝙈𝙄𝘼𝘼𝘼𝘼𝘼𝘼! #MilanJuve #SempreMilan @pumafootball https://t.co/5RJGHwyXke
RT @acmilan: The derby is ❤️🖤 #InterMilan #SempreMilan https://t.co/GeZ7mtjcXB
RT @acmilan: Your memory will never fade, your legacy will last forever Ciao, Kobe! ❤ #SempreKobe https://t.co/ojj1Ky1s5Y
Key Insights & Takeaways
Her account is heavily focused on promoting MilanTV and football events. She uses hashtags and mentions to increase visibility and engagement. Her content is primarily informational and promotional in nature.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 498,199
- + 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 @Giorgia_Palmas reveals an well-established Twitter presence with 498,199 followers. The account demonstrates a content-creator strategy, averaging 116.6 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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