Davide Astori
Designer di fama mondiale e calciatore nel tempo libero :-D
149,323
Followers
1,379
Tweets
32.0
Avg Engagement
473
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DavideAstori'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:2011-10-24
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:1,367
- Avg Likes per Tweet:9.6
- Avg Retweets per Tweet:22.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,367 tweetsThe average likes and retweets per tweet indicate a highly engaged audience. The top tweets show a blend of personal and sports-related content that resonates well with followers.
9.6
Avg Likes/Tweet
22.4
Avg Retweets/Tweet
13,070
Total Likes
30,643
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
18
75th Percentile
2,309
Top Tweet
0.21
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
32.6%
Original
37.3%
Replies
30.1%
Retweets
0.0%
Quotes
0.0%
Threads
0.2%
With Media
23.8%
With Links
16.2%
With #Tags
77.8%
With @Mentions
28.5%
With Emojis
87
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.14
Reply/Original Ratio
0.0
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.8%
Weekday Posts
25.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,367 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 411 retweets (30% 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 1,367 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 a mix of design professionals and football fans, likely interested in both creative and sports-related content. The engagement suggests a dedicated and interactive follower base.
Average
Audience Quality
31.9%
Suspicion Index
46.7%
Low-Quality %
15
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
65.6%
Empty Bio
42.7%
<10 Tweets
5.4%
Mass Following (>2K)
0.0%
New (<90 days)
62.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.5%
No URL
27.7%
<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.
22,503,335
Total Potential Reach
15
Median Follower Reach
65
75th Percentile Reach
1.9%
>1K followers
0.2%
>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).
31.9%
Creators
15,971 accounts
25.4%
Consumers
12,689 accounts
42.7%
Dormant
21,340 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):
81
Verified Followers
0.08% of total
6,641
Protected Accounts
6.58% of total
10 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 |
|---|---|---|---|
| @Variety | 2,912,139 | Entertainment industry | Entertainment, Business, Variety |
| @OfficialASRoma | 2,310,574 | Football Club | Football, Sports, Italy |
| @BeatsByAssassin | 2,261,305 | Multitalented | Actor, Director, Rapper |
| @tribundergi | 1,295,799 | Sports Magazine | Football, Culture, Istanbul |
| @stanzaselvaggia | 1,206,942 | Giornalista | Giornalismo, Podcast, Libri |
| @Nesta | 798,161 | Football Coach | Football, Coaching, Sponsorship |
| @Miralem_Pjanic | 783,455 | Footballer | Football, Family, Travel |
| @Azzurri_En | 779,647 | Sports Team | Football, Italy, Updates |
| @acffiorentina | 736,101 | Football Club | Football, Sports, Italy |
| @Florenzi | 705,532 | Footballer | EURO 2020, Italy, Champion |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
34,607
Followers With Bio
66,392
Followers Without Bio
34.26%
% With Bio
65.74%
% 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 1,367 analyzed7,625
Combined Engagement
2,450
Total Likes
5,175
Total Retweets
1,525
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
80%
With @Mentions
40%
With Links
Topical Analysis:
Ci sono anch'io tra i 3 Milioni di fan della @Serie A TIM !! #IlCalcioèDiChiLoAma http://t.co/uTn7hjiJ3E
RT @XFactor_Italia: ✨🌟✨ #Michele è il vincitore di #XF7! ✨🌟✨ http://t.co/Tr7ShViqHe
RT @sandronesta13: Oggi è il mio primo giorno da ex-calciatore. Un grazie a tutta la gente che in questi anni mi ha dato il loro affetto.#S…
RT @chiellini: FINALE!!!
...la domenica senza la serie A non sembra domenica :-(
Key Insights & Takeaways
His profile blends professional design with personal football passion, creating a unique identity. The use of hashtags and personal milestones suggests a focus on community and fan interaction. The high engagement indicates a loyal and active audience interested in both his professional and personal life.
Strengths
- + Established follower base of 149,323
- + 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 @DavideAstori reveals an growing Twitter presence with 149,323 followers. The account demonstrates a conversation-first approach, averaging 32.0 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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