Daniel Tognetti

Daniel Tognetti

@TognettiDaniel

Animador. Conductor de @SehRadio en AM 530. Hincha de Ferro, de Maradona y de Messi.

Buenos Aires, Argentina. https://www.facebook.com/unsupportedbrowser Joined 2010-03-17 Date of Analysis: Dec 16, 2025

416,719

Followers

2,577

Following

33,041

Tweets

537.5

Avg Engagement

2,123

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @TognettiDaniel'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:2010-03-17
  • Verification:No
  • Location:Buenos Aires, Argentina.

Data Summary

  • Tweets Analyzed:3,245
  • Avg Likes per Tweet:134.6
  • Avg Retweets per Tweet:402.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,245 tweets

His tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent across his posts, suggesting a loyal and active follower base.

134.6

Avg Likes/Tweet

402.8

Avg Retweets/Tweet

436,887

Total Likes

1,307,143

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

27

Median Retweets

262

75th Percentile

66,410

Top Tweet

1.29

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

19.2%

Original

2.4%

Replies

75.1%

Retweets

3.4%

Quotes

0.0%

Threads

0.0%

With Media

37.4%

With Links

12.5%

With #Tags

90.1%

With @Mentions

21.4%

With Emojis

137

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.12

Reply/Original Ratio

0.04

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.0%

Weekday Posts

23.0%

Weekend Posts

Top Hashtags

#siempreeshoy (82) #identikit (32) #ferro (17) #novendanlacostanera (17) #podcast (9) #verdadesafiladas (6) #ahora (5) #trucogallo (5) #urgente (5) #argentina (5)

Most Mentioned

@tognettidaniel (416) @ibanezsoy (368) @alfredozaiat (356) @trucogallo (271) @sehradio (226) @somosradioam530 (158) @alfreserramanci (89) @efabregat (79) @dariopignotti (60) @adrianmurano (57)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,245 tweets

Content Type Distribution

Content Breakdown

Original Tweets 622 (19%)
Replies 77 (2%)
Retweets 2,437 (75%)
Quote Tweets 109 (3%)

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 2,437 retweets (75% 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 tweets

Engagement 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 followers

His audience likely includes sports fans, radio listeners, and followers of his personal interests. The content appeals to those who enjoy sports commentary and cultural references.

Average

Audience Quality

23.2%

Suspicion Index

29.2%

Low-Quality %

26

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.0%

Empty Bio

23.2%

<10 Tweets

8.4%

Mass Following (>2K)

0.0%

New (<90 days)

52.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.9%

No URL

14.3%

<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 Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

35,621,340

Total Potential Reach

26

Median Follower Reach

142

75th Percentile Reach

6.6%

>1K followers

0.7%

>10K followers

0.2%

>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).

54.7%

Creators

27,338 accounts

22.2%

Consumers

11,084 accounts

23.2%

Dormant

11,578 accounts

131

Verified Followers

0.26% of total

3.4%

Professional Bios

founder, dev, analyst, etc.

0.09

Median Follow Ratio

follower/following

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):

Argentina (1,384) Ciudad Autónoma de Buenos Aire (1,323) Buenos Aires, Argentina (1,314) Buenos Aires (447) Córdoba, Argentina (400) Rosario, Argentina (373) La Plata, Argentina (369) Mar del Plata, Argentina (192) Mendoza, Argentina (176) argentina (144)

228

Verified Followers

0.23% of total

7,406

Protected Accounts

7.41% 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
@PabloIglesias 2,711,709 Politician politics, journalism, Star Wars
@GuilhermeBoulos 2,228,964 Activist Social Justice, Housing Rights, Activism
@GiorgioJackson 1,326,874 Politician politics, engineering, volleyball
@VillegasPoljak 1,138,443 Minister politics, culture, Venezuela
@MidiaNINJA 1,121,437 Journalist Narrativas Independentes, Jornalismo, Ação
@PamelaDav 1,103,296 TV Host -
@vicdalessandro 783,883 Actor Acting, Travel, Fitness
@gerardotc 655,362 Escritor Modeling, Acting, Writing
@PabloEchenique 612,589 Scientist Science, Politics, Activism
@Pimenta13Br 601,735 Político politics, journalism, leadership

Top Keywords in Follower Bios

peronista (3,007) vida (1,967) hincha (1,921) docente (1,486) politica (1,471) siempre (1,459) militante (1,365) argentina (1,338) nacional (1,296) social (1,269)

Top Hashtags in Follower Bios

#tropak (32) #niunamenos (31) #argentina (31) #cfk (23) #compol (19) #todosconcristina (19) #peronista (18) #uba (18) #esley (17) #cfk2023 (16)

54,024

Followers With Bio

45,976

Followers Without Bio

54.02%

% With Bio

45.98%

% 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 $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,245 analyzed

186,171

Combined Engagement

0

Total Likes

186,171

Total Retweets

37,234

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Sports Radio Personal Interests Media Promotion Cultural References

Key Insights & Takeaways

He frequently shares links to specific content, indicating a focus on promoting media and events. His tweets often reference notable athletes and cultural figures, suggesting a personal and passionate connection to these topics. He uses a mix of personal and professional content to maintain audience interest and engagement.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 416,719
  • + 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 @TognettiDaniel reveals an well-established Twitter presence with 416,719 followers. The account demonstrates a content-creator strategy, averaging 537.5 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.

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

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025