Diesel

Diesel

@DIESEL

Serving denim lovers since 1978. #ForSuccessfulLiving

https://side.xyz/diesel Joined 2010-10-21 Date of Analysis: Dec 16, 2025

212,450

Followers

117

Following

9,382

Tweets

65.9

Avg Engagement

854

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DIESEL'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:2010-10-21
  • Verification:Yes
  • Location:Not specified

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:44.4
  • Avg Retweets per Tweet:21.5
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,248 tweets

Diesel's tweets consistently receive high engagement, indicating a strong connection with its audience. The brand effectively uses collaborations and trending topics to boost interaction.

44.4

Avg Likes/Tweet

21.5

Avg Retweets/Tweet

144,337

Total Likes

69,761

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

27

Median Likes

8

Median Retweets

59

75th Percentile

22,926

Top Tweet

0.31

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

61.8%

Original

33.7%

Replies

4.2%

Retweets

0.3%

Quotes

0.0%

Threads

1.8%

With Media

72.2%

With Links

60.0%

With #Tags

50.5%

With @Mentions

6.9%

With Emojis

125

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.55

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

85.5%

Weekday Posts

14.5%

Weekend Posts

Top Hashtags

#dieseldenim (259) #dieselfallwinter15 (134) #diesel (129) #dieselprespring16 (126) #forsuccessfulliving (120) #dieselprefall15 (118) #dieselspringsummer16 (114) #dieselhashtag (99) #dieselwatch (75) #denim (75)

Most Mentioned

@diesel (180) @formichetti (64) @renzorosso (45) @fossil (33) @nickiminaj (30) @markymarcmode (26) @karrueche (25) @joejonas (25) @hapesocial (21) @gucci1017 (16)

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 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,006 (62%)
Replies 1,096 (34%)
Retweets 135 (4%)
Quote Tweets 11 (0%)

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 135 retweets (4% 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 3,248 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

The primary audience consists of denim enthusiasts and fashion-conscious individuals interested in trends and collaborations. The brand also targets fans of celebrities and influencers featured in its tweets.

Average

Audience Quality

21.5%

Suspicion Index

15.7%

Low-Quality %

58

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

23.0%

Empty Bio

12.5%

<10 Tweets

21.8%

Mass Following (>2K)

0.0%

New (<90 days)

53.7%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.9%

No URL

8.4%

<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.

39,047,723

Total Potential Reach

58

Median Follower Reach

234

75th Percentile Reach

7.9%

>1K followers

0.8%

>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).

74.2%

Creators

37,086 accounts

13.3%

Consumers

6,672 accounts

12.5%

Dormant

6,242 accounts

740

Verified Followers

1.48% of total

9.4%

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):

Metaverse (402) Singapore (287) Japan (208) Hong Kong (197) South Africa (173) United States (164) Lagos, Nigeria (164) Los Angeles, CA (151) Pretoria, South Africa (150) Johannesburg, South Africa (145)

845

Verified Followers

0.84% of total

10,574

Protected Accounts

10.47% 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
@miakhalifa 5,440,863 Former Adult Actress immigrant, شيطان, 🪧
@TomDaley1994 2,250,301 Diver Diving, Goals, Humor
@6BillionPeople 2,034,156 - -
@sattamelissa 1,443,419 Model Showgirl, Model, Fitness
@Fiorello 1,392,230 Entertainer food, humor, Sicilian culture
@Kat_McNamara 1,303,432 Actress Acting, Baking, Nerdiness
@belufrancese 1,000,724 Influencer NFTs, Crypto, Bitcoin
@Jamiebower 997,033 Actor Actor, Musician, Witchcraft
@TheoHernandez 805,220 Footballer Football, Nike, Sponsorship
@NOH8Campaign 801,144 Activism equality, bullying, discrimination

Top Keywords in Follower Bios

nft (5,724) love (2,453) crypto (2,282) life (2,243) web (2,016) music (1,685) nfts (1,442) enthusiast (1,272) collector (1,251) lover (1,248)

Top Hashtags in Follower Bios

#nft (848) #eth (396) #byebyebirdie (336) #crypto (306) #nfts (257) #btc (221) #web3 (213) #bitcoin (213) #suiglobalrider (170) #zkapes (164)

69,534

Followers With Bio

31,463

Followers Without Bio

68.85%

% With Bio

31.15%

% 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 3,248 analyzed

47,736

Combined Engagement

25,454

Total Likes

22,282

Total Retweets

9,547

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

60%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Fashion Denim Celebrity Collaborations Social Commentary Brand Awareness

Key Insights & Takeaways

Collaborations with celebrities and influencers drive engagement and visibility. Highlighting fashion collections and seasonal drops keeps the audience informed and interested. Addressing social issues like online hate through creative campaigns adds depth to the brand's messaging.

Strengths

  • + Established follower base of 212,450
  • + 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 @DIESEL reveals an growing Twitter presence with 212,450 followers. The account demonstrates a content-creator strategy, averaging 65.9 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