12,264
Followers
179
Following
492
Tweets
1,153.2
Avg Engagement
12
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @delpretetuti'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:2017-08-03
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:487
- Avg Likes per Tweet:40.1
- Avg Retweets per Tweet:1,113.1
- Followers Analyzed:12,341
Engagement Analysis
Based on 487 tweetsThe average engagement per tweet is around 1,678 likes and 59 retweets, indicating a relatively active and interested audience.
40.1
Avg Likes/Tweet
1,113.1
Avg Retweets/Tweet
19,519
Total Likes
542,070
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
3
Median Retweets
105
75th Percentile
46,315
Top Tweet
94.03
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
17.0%
Original
24.2%
Replies
56.7%
Retweets
2.1%
Quotes
0.0%
Threads
0.0%
With Media
52.4%
With Links
16.4%
With #Tags
81.9%
With @Mentions
42.1%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.42
Reply/Original Ratio
0.04
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
71.9%
Weekday Posts
28.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 487 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 276 retweets (57% 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 487 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 12,341 followersThe audience appears to be football fans, particularly those interested in PumasMX and related players.
Good
Audience Quality
18.6%
Suspicion Index
22.5%
Low-Quality %
60
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.2%
Empty Bio
13.3%
<10 Tweets
8.5%
Mass Following (>2K)
0.0%
New (<90 days)
45.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.3%
No URL
7.9%
<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.
30,272,363
Total Potential Reach
60
Median Follower Reach
223
75th Percentile Reach
5.4%
>1K followers
0.9%
>10K followers
0.3%
>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).
72.1%
Creators
8,894 accounts
14.6%
Consumers
1,803 accounts
13.3%
Dormant
1,644 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):
44
Verified Followers
0.36% of total
1,365
Protected Accounts
11.06% of total
7 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 | 14,106,644 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,227 | - | - |
| @PumasMX | 2,416,063 | Sports Team | Soccer, Mexico, University |
| @MartinCharquero | 440,383 | Periodista | fútbol, periodismo, crossfit |
| @Moreno | 429,884 | Influencer | Business, Manager, Serious |
| @Inspiras_ | 412,117 | Magazine Editor | Positividad, Lifestyle, Posible |
| @sudanalytics_ | 321,909 | Fútbol Data | Fútbol, Datos, Sudamérica |
| @TodaLaPrimeraA | 300,667 | Sports Journalist | Football, ESPN, FlashScore |
| @mauroboselli | 285,126 | Footballer | Football, Travel, Sports |
| @jorcervan | 237,664 | Writer | Mythology, Self-discovery, Openness |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,747
Followers With Bio
4,594
Followers Without Bio
62.77%
% With Bio
37.23%
% 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 487 analyzed171,030
Combined Engagement
0
Total Likes
171,030
Total Retweets
34,206
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @TeamLeoM: Se incendia la Patagonia Argentina. Lago Puelo, El Hoyo, El Maitén, Cerro Radal, El Bolsón, necesitan nuestra ayuda y del Estado Nacional. Difundan. https://t.co/mHX8XRuNdW
RT @AguZarate1: Nadie se merecía más el mundial que ellos dos. https://t.co/PH5RjWdhgJ
RT @NiicoCeres: ¿Por qué Messi no juega en la Selección igual que en Barcelona? Te lo explica Xavi en apenas 1:25. https://t.co/0faRxMcE0o
RT @Mascherano: Por que siempre vale la pena INTENTARLO…… https://t.co/1gKy5wjQbt
RT @ASRomaEN: The King of Rome and the GOAT 👑🐐 https://t.co/Jav7OLjHaR
Key Insights & Takeaways
The account frequently shares personal achievements and milestones, which likely help in building a loyal fan base. The use of emojis and hashtags suggests an informal and engaging tone to connect with followers. The account also interacts with other football players, which can enhance its visibility and credibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 12,264
- + 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 @delpretetuti reveals an exceptionally influential Twitter presence with 12,264 followers. The account demonstrates a conversation-first approach, averaging 1,153.2 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.
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