126,918
Followers
366
Following
2,835
Tweets
22.5
Avg Engagement
503
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LucaMarchetti'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:2011-08-13
- Verification:No
- Location:Milano
Data Summary
- Tweets Analyzed:2,808
- Avg Likes per Tweet:3.0
- Avg Retweets per Tweet:19.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 2,808 tweetsHis tweets receive consistent engagement, with a balanced mix of likes and retweets, indicating a loyal and active audience. The engagement rate suggests a strong connection with his followers, particularly in the sports journalism niche.
3.0
Avg Likes/Tweet
19.5
Avg Retweets/Tweet
8,319
Total Likes
54,734
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
8
75th Percentile
7,625
Top Tweet
0.18
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
34.4%
Original
42.0%
Replies
23.4%
Retweets
0.1%
Quotes
0.0%
Threads
0.1%
With Media
33.8%
With Links
30.8%
With #Tags
82.5%
With @Mentions
5.9%
With Emojis
89
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.22
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.9%
Weekday Posts
23.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,808 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 658 retweets (23% 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 2,808 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 followersHis audience is primarily interested in sports journalism and media coverage, with a focus on Italian sports and media platforms like SkySport. The audience seems to appreciate his professional insights and personal reflections.
Average
Audience Quality
27.6%
Suspicion Index
35.7%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
54.5%
Empty Bio
28.3%
<10 Tweets
11.0%
Mass Following (>2K)
0.0%
New (<90 days)
58.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.3%
No URL
17.0%
<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.
25,571,293
Total Potential Reach
26
Median Follower Reach
116
75th Percentile Reach
4.2%
>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).
46.2%
Creators
23,122 accounts
25.4%
Consumers
12,725 accounts
28.3%
Dormant
14,153 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):
121
Verified Followers
0.12% of total
6,224
Protected Accounts
6.16% of total
9 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 |
|---|---|---|---|
| @SkySport | 2,973,831 | Sports Media | Sports, Teams, Passion |
| @Variety | 2,912,136 | Entertainment industry | Entertainment, Business, Variety |
| @HusseinY22 | 2,749,002 | Sports Writer | Football, Calcio, Writing |
| @soledadobrien | 1,317,936 | Journalist | working, mom, journalist |
| @LeBronJames | 1,007,473 | - | - |
| @DoentesPFutebol | 806,399 | Sports Blogger | Futebol, Informação, Opinião |
| @SkySportNews | 726,631 | Sports News | Football, Racing, Golf |
| @PleasureEllis | 685,147 | Entertainer | Music, Transformation, Celebration |
| @idextratime | 677,330 | Sports Journalist | Sampah, Laknat, Business |
| @lbertozzi | 652,980 | Sports Journalist | Futebol internacional, ESPN Brasil, Fox Sports Brasil |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
40,736
Followers With Bio
60,262
Followers Without Bio
40.33%
% With Bio
59.67%
% 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 2,808 analyzed24,758
Combined Engagement
0
Total Likes
24,758
Total Retweets
4,952
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @ManUtd: We can confirm that Patrice Evra has extended his contract at #mufc for another year. http://t.co/ZBPsfXL52L
RT @alo_oficial: G R A C I A S !!!!!!!!!! Thanks so much to all of you...!!!! #valenciaAlo
RT @WayneRooney: Gutted capello has quit. Good guy and top coach. Got to be english to replace him. Harry redknapp for me.
RT @didierdrogba: Siempre lui...@MassMarianella Grande 🙌🏾🙌🏾😂😂 #gooddays #legendary #ChelseavsArsenal https://t.co/wZXcs3vin6
RT @emergenzavvf: #HotelRigopiano il momento commovente del salvataggio dei tre bambini #USAR #vigilidelfuoco https://t.co/FmmykZMUTh
Key Insights & Takeaways
His content often highlights sports events and collaborations with other media outlets He maintains a personal and professional tone, blending journalism with personal reflections He frequently interacts with his audience and other journalists, fostering a sense of community
Strengths
- + Established follower base of 126,918
- + 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 @LucaMarchetti reveals an growing Twitter presence with 126,918 followers. The account demonstrates a conversation-first approach, averaging 22.5 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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