Raffaele Auriemma
Writer, Mediaset sports commentator, anchor man, stably in football Scrittore, giornalista e opinionista per Mediaset, conduttore radio-tv ed ex avvocato
317,145
Followers
961
Following
43,786
Tweets
30.2
Avg Engagement
603
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RafAuriemma'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:2011-08-19
- Verification:No
- Location:Napoli
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:19.1
- Avg Retweets per Tweet:11.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsHis tweets typically receive a moderate to high number of likes and retweets, indicating a dedicated and engaged audience. The engagement is consistent across his posts, suggesting a loyal following.
19.1
Avg Likes/Tweet
11.1
Avg Retweets/Tweet
62,071
Total Likes
36,170
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
13
75th Percentile
9,129
Top Tweet
0.1
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
25.3%
Original
5.2%
Replies
53.0%
Retweets
16.6%
Quotes
0.0%
Threads
0.0%
With Media
78.8%
With Links
73.9%
With #Tags
65.7%
With @Mentions
8.2%
With Emojis
122
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.31
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.6%
Weekday Posts
28.4%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
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 1,721 retweets (53% 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 includes football fans, sports enthusiasts, and media professionals interested in sports commentary and analysis. The content appeals to those following Italian football and media trends.
Below Average
Audience Quality
38.4%
Suspicion Index
52.2%
Low-Quality %
3
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
61.3%
Empty Bio
56.9%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
78.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.3%
No URL
43.2%
<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.
19,414,966
Total Potential Reach
3
Median Follower Reach
24
75th Percentile Reach
1.7%
>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).
22.8%
Creators
11,411 accounts
20.3%
Consumers
10,146 accounts
56.9%
Dormant
28,443 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):
112
Verified Followers
0.11% of total
3,818
Protected Accounts
3.82% of total
6 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 |
|---|---|---|---|
| @sscnapoli | 2,062,004 | Soccer Club | Football, Napoli, Sports |
| @KameronBennett | 1,812,629 | DJ | Music, DJing, Booking |
| @NicoSavi | 1,757,136 | Broadcaster | Lucca, Metanopoli, giovane old |
| @matteosalvinimi | 1,508,888 | Politician | Politics, Leadership, Italy |
| @soledadobrien | 1,318,216 | Journalist | working, mom, journalist |
| @rogerhamilton | 928,725 | Entrepreneur | education, entrepreneurship, futurism |
| @FabioDeLuigi | 905,444 | Actor | Comedy, Acting, Entertainment |
| @LuisOmarTapia | 894,179 | Sports commentator | Soccer, Champions League, Commentator |
| @lbertozzi | 652,657 | Sports Journalist | Futebol internacional, ESPN Brasil, Fox Sports Brasil |
| @Matt_VanDyke | 506,530 | Founder | veterans, training, supplies |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
29,828
Followers With Bio
70,172
Followers Without Bio
29.83%
% With Bio
70.17%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,250 analyzed18,046
Combined Engagement
1,431
Total Likes
16,615
Total Retweets
3,609
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @kkoulibaly26: Napoli, terra mia. 💙 Kalidou https://t.co/lZoFdWrcuB
RT @dries_mertens14: Non è un addio, è un arrivederci 💙 https://t.co/osnXUaLBQr
RT @Lor_Insigne: Per Diego, per Sempre 💙 https://t.co/JB9QFo7eLa
Chiedo per un amico: c’è una norma del regolamento che vale solo per #Rabiot? #InterJuventus
RT @ZZiliani: Spett.le @FIGC, alla luce dei fatti nuovi emersi su #InterJuve del 2018 ti saremmo grati se la tua Procura riaprisse le indag…
Key Insights & Takeaways
He often engages with fans by asking for opinions on specific players and teams, which encourages interaction. He shares analysis and commentary on current sports events, providing valuable insights to his followers. He uses hashtags effectively to highlight key topics and trends, increasing visibility and reach.
Strengths
- + Established follower base of 317,145
- + 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 @RafAuriemma reveals an growing Twitter presence with 317,145 followers. The account demonstrates a content-creator strategy, averaging 30.2 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access