David Carretta
Corrispondente dalle istituzioni europee di @RadioRadicale mi capita di scrivere anche per @ilfoglio_it Ma qui le opinioni sono soltanto mie.
54,421
Followers
1,126
Following
55,779
Tweets
300.5
Avg Engagement
608
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @davcarretta'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:2011-05-13
- Verification:No
- Location:Brussels
Data Summary
- Tweets Analyzed:3,245
- Avg Likes per Tweet:68.6
- Avg Retweets per Tweet:231.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,245 tweetsAverage likes and retweets suggest a moderate level of audience interaction. The content resonates with a niche group interested in political and journalistic discourse.
68.6
Avg Likes/Tweet
231.9
Avg Retweets/Tweet
222,674
Total Likes
752,550
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
6
Median Retweets
122
75th Percentile
65,623
Top Tweet
5.52
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
13.6%
Original
40.2%
Replies
28.1%
Retweets
18.2%
Quotes
0.0%
Threads
0.2%
With Media
56.9%
With Links
7.2%
With #Tags
58.8%
With @Mentions
9.1%
With Emojis
157
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.96
Reply/Original Ratio
0.65
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
84.1%
Weekday Posts
15.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,245 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 911 retweets (28% 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 3,245 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 includes politically engaged individuals and followers of Italian media outlets. They are likely interested in European politics and current affairs.
Average
Audience Quality
21.5%
Suspicion Index
26.5%
Low-Quality %
75
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.0%
Empty Bio
18.9%
<10 Tweets
15.4%
Mass Following (>2K)
0.0%
New (<90 days)
42.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.4%
No URL
13.0%
<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.
95,095,721
Total Potential Reach
75
Median Follower Reach
346
75th Percentile Reach
11.6%
>1K followers
1.6%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.2%
Creators
32,577 accounts
15.9%
Consumers
7,973 accounts
18.9%
Dormant
9,450 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):
693
Verified Followers
1.33% of total
3,411
Protected Accounts
6.54% of total
8 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 |
|---|---|---|---|
| @JohnCena | 14,106,641 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,424 | - | - |
| @matteorenzi | 3,381,138 | Politician | Politics, Italy, Florence |
| @miguelhotero | 1,926,986 | Journalist | Politics, Journalism, Leadership |
| @robertosaviano | 1,854,447 | Author | Books, Journalism, Activism |
| @sole24ore | 1,812,464 | News Outlet | Economics, Finance, Business |
| @NicoSavi | 1,758,760 | Broadcaster | Lucca, Metanopoli, giovane old |
| @LucaBizzarri | 1,648,488 | Attore | attore, presentatore, teatro |
| @SinghLions | 1,336,493 | Restaurateur | Food, Travel, Influencer |
| @soledadobrien | 1,320,625 | Journalist | working, mom, journalist |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
31,622
Followers With Bio
20,504
Followers Without Bio
60.66%
% With Bio
39.34%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,245 analyzed186,025
Combined Engagement
0
Total Likes
186,025
Total Retweets
37,205
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @Tweet_Dec: Happy 6th anniversary to the greatest moment in the history of the internet https://t.co/QYAunxfrUR
RT @TrollFootball: Pele did it first RIP Legend 🙏 https://t.co/KVb1hIRgZi https://t.co/9x9D0ak4W0
RT @ByDonkeys: Solidarity with Ukraine ✊ (Russian Embassy, London) https://t.co/efRXKgDuqV
RT @TimothyDSnyder: Ukrainian decathlete Volodymyr Androshchuk will not be representing his country at the Paris Olympics because he was just killed by the Russian armed forces. In other news, the IOC announces that Russian athletes are welcome in Paris.
RT @PeterGleick: Does everyone realize that Ukrainian president Zelenskyy saluted US veterans on Veterans Day, but Donald Trump didn't? https://t.co/hNC7KcdF9q
Key Insights & Takeaways
davcarretta often shares interactions between journalists and politicians, highlighting the dynamics of media and power. Their tweets reflect personal views on European policy and societal trends, such as the use of cash. They emphasize the potential and challenges of the European Union, particularly in times of crisis.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 54,421
- + 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 @davcarretta reveals an well-established Twitter presence with 54,421 followers. The account demonstrates a conversation-first approach, averaging 300.5 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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