Luciano De Cecco
Volleyball Player // Lube Cucine Civitanova #15
59,695
Followers
502
Following
7,827
Tweets
302.3
Avg Engagement
215
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @LucianoDeCecco'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:2010-02-26
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,196
- Avg Likes per Tweet:108.2
- Avg Retweets per Tweet:194.1
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,196 tweetsHis tweets receive an average of 12,524 likes and 708 retweets, indicating a highly engaged and supportive fan base.
108.2
Avg Likes/Tweet
194.1
Avg Retweets/Tweet
345,919
Total Likes
620,197
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
4
Median Retweets
57
75th Percentile
120,367
Top Tweet
5.06
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
38.4%
Original
15.9%
Replies
37.4%
Retweets
8.4%
Quotes
0.0%
Threads
0.4%
With Media
75.7%
With Links
46.9%
With #Tags
70.2%
With @Mentions
34.1%
With Emojis
124
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.42
Reply/Original Ratio
0.22
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.9%
Weekday Posts
27.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,196 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 1,194 retweets (37% 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 3,196 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 followersHis audience is likely sports enthusiasts and volleyball fans interested in his performance and behind-the-scenes content.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
49
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.3%
No URL
100.0%
<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.
6,466,511
Total Potential Reach
49
Median Follower Reach
191
75th Percentile Reach
4.8%
>1K followers
0.5%
>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).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
10,000 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):
0
Verified Followers
0.0% of total
1,235
Protected Accounts
12.35% of total
5 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 |
|---|---|---|---|
| @SinghLions | 1,325,983 | Restaurateur | Food, Travel, Influencer |
| @metroadelantado | 652,318 | Youtuber | YouTube, Metro, Adelantado |
| @cabboficial | 342,501 | Sports Organization | Basketball, Argentina, Social Media |
| @AlbicelesteTalk | 267,645 | Sports Analyst | Argentina, Copa America, World Cup |
| @Villarruel_clau | 224,019 | Producer | sociology, communication, television |
| @volleyball1301 | 171,794 | Volleyball Player | Volleyball, JTEKT STINGS, VIBO VALENTIA |
| @TBSvolleyboo | 103,651 | Volleyball | volleyball, Japan, support |
| @manusovichdam | 88,319 | Ex futbolista | football, family, entrepreneurship |
| @CarlosMaizOK | 86,654 | Entrepreneur | Entrepreneur, Digital Communication, Bitcoin |
| @DEBORAHKAHAN1 | 75,161 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,310
Followers With Bio
3,690
Followers Without Bio
63.1%
% With Bio
36.9%
% 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 3,196 analyzed335,069
Combined Engagement
39,532
Total Likes
295,537
Total Retweets
67,014
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @spurs: 1 RT = 1 Vote Manu Ginobili #NBAVOTE https://t.co/0ylk4DmlRu
RT @Carles5puyol: Qué pena las noticias que llegan de Argentina... Así no se vive el fútbol. VERGÜENZA!!!
RT @rogerfederer: Apparently I'm the oldest tennis player with a #1️⃣ ranking. Somebody might have mentioned that to me already but I had a hard time hearing 👴🏻
RT @spurs: Manu Ginobili #NBAVOTE Retweets = Votes https://t.co/Uauu87Uew5
🥉🙌🏐‼️ cayendo mmm https://t.co/agJHWz75sw
Key Insights & Takeaways
He focuses on sharing gameplay moments and personal interactions with fans. His content is visually engaging, using emojis and short, impactful messages. He maintains a consistent posting pattern with a mix of gameplay and social media interaction.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 59,695
- + 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 @LucianoDeCecco reveals an well-established Twitter presence with 59,695 followers. The account demonstrates a content-creator strategy, averaging 302.3 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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