Alfredo Pedullà
Pane, calcio e mercato. Tutte le sere (o quasi) da 16 anni sempre su @tvdellosport
355,052
Followers
1,013
Following
292,243
Tweets
16.8
Avg Engagement
1,714
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AlfredoPedulla'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:2012-06-02
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:14.3
- Avg Retweets per Tweet:2.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive around 521 likes and 39 retweets on average, indicating a moderate level of engagement. The content is often focused on match analysis and opinion pieces, which resonate with his followers.
14.3
Avg Likes/Tweet
2.5
Avg Retweets/Tweet
46,447
Total Likes
8,094
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
11
Median Likes
1
Median Retweets
17
75th Percentile
2,382
Top Tweet
0.05
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
84.1%
Original
14.7%
Replies
1.0%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
83.3%
With Links
1.8%
With #Tags
15.7%
With @Mentions
5.2%
With Emojis
32
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.17
Reply/Original Ratio
0.15
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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 33 retweets (1% 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 3,250 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 primarily consists of Italian sports fans, especially those interested in football and transfer market updates. The content is tailored for viewers familiar with Italian football culture and media.
Average
Audience Quality
34.4%
Suspicion Index
48.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.4%
Empty Bio
50.0%
<10 Tweets
6.2%
Mass Following (>2K)
0.0%
New (<90 days)
70.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.7%
No URL
39.0%
<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.
26,801,529
Total Potential Reach
4
Median Follower Reach
42
75th Percentile Reach
2.5%
>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).
30.1%
Creators
15,055 accounts
19.9%
Consumers
9,959 accounts
50.0%
Dormant
24,986 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):
207
Verified Followers
0.21% of total
6,387
Protected Accounts
6.39% of total
4 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 | 14,102,338 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ManUnitedZone_ | 1,374,418 | - | - |
| @tribundergi | 1,296,213 | Sports Magazine | Football, Culture, Istanbul |
| @futbolarena | 1,118,039 | Sports Media | Football, Digital Content, Platform |
| @ertemsener | 842,020 | Journalist | Football, Journalism, Commentating |
| @UtdDistrict | 742,919 | Sports Journalist | Football, Manchester United, Coverage |
| @EPLBible | 651,333 | Sports News | Football, Premier League, Transfers |
| @IamMzilikazi | 546,760 | Musician | Pan-African music, Album, Rise |
| @GenoaCFC | 392,832 | Football Club | Football, History, Passion |
| @zammit_marc | 387,772 | Filmmaker | Film, Acting, Producing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
46,836
Followers With Bio
53,164
Followers Without Bio
46.84%
% With Bio
53.16%
% 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 3,250 analyzed6,503
Combined Engagement
2,645
Total Likes
3,858
Total Retweets
1,301
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
40%
With @Mentions
20%
With Links
Topical Analysis:
RT @RafaeLeao7: Infelizmente as redes sociais são um instrumento onde toda gente pensa que pode dizer o que quiser .. triste são essas pess…
RT @acmilan: Official Statement: @_OlivierGiroud_ ➡ https://t.co/HA1zJQodng Comunicato Ufficiale: Olivier Giroud ➡ https://t.co/t4E2Quogmc…
La #Juve gioca alle 21: la sentenza la diamo alle 17, alle 18, alle 19, entro le 20, dentro il riscaldamento o tra il primo e il secondo tempo? Un minimo di… no eh?
Un po’ di onestà intellettuale di opinionisti, seconde voci in diretta da #Napoli, amici degli amici. Niente. Prevale “ottimo secondo tempo”. “Grande reazione”. L’#Italia fa ridere, #Mancini fa piangere. Adesso ci pensa #Pafundi, poi convocheremo qualche uruguaiano o libanese
#Gravina: “Stadi? In #Italia siamo lontani anni luce”. Il primo a essere in ritardo anni luce sulle riforme promesse veramente è lui. E se il 19 aprile va in un determinato modo c’è una sola strada. Una
Key Insights & Takeaways
He frequently engages with sports analysis and commentary, often sharing opinions on match performances and player evaluations. He uses his platform to discuss broader sports issues, such as stadium conditions and reform proposals. His content is highly focused on Italian football, with a particular emphasis on major clubs like Juventus and Napoli.
Strengths
- + Established follower base of 355,052
- + 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 @AlfredoPedulla reveals an growing Twitter presence with 355,052 followers. The account demonstrates a content-creator strategy, averaging 16.8 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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