Aston Martin Aramco Cognizant F1 Team

Aston Martin Aramco Cognizant F1 Team

@AstonMartinF1

Updates from the Aston Martin Aramco Cognizant Formula One® Team.

United Kingdom https://shop.astonmartinf1.com/en/home/ Joined 2008-09-05 Date of Analysis: Dec 16, 2025

2,198,545

Followers

798

Following

66,861

Tweets

2,060.3

Avg Engagement

33,363

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @AstonMartinF1'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: Mega Influencer (1M+)
  • Account Age:2008-09-05
  • Verification:Yes
  • Location:United Kingdom

Data Summary

  • Tweets Analyzed:3,249
  • Avg Likes per Tweet:1,901.9
  • Avg Retweets per Tweet:158.4
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,249 tweets

The account consistently receives a high number of likes and retweets, indicating strong audience interaction and interest in the team's updates. The engagement rate suggests a loyal and active fan base.

1,901.9

Avg Likes/Tweet

158.4

Avg Retweets/Tweet

6,179,251

Total Likes

514,528

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

407

Median Likes

21

Median Retweets

1,259

75th Percentile

152,791

Top Tweet

0.94

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

62.2%

Original

33.0%

Replies

3.8%

Retweets

1.0%

Quotes

0.0%

Threads

3.2%

With Media

50.5%

With Links

60.4%

With #Tags

56.3%

With @Mentions

47.7%

With Emojis

128

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.53

Reply/Original Ratio

0.27

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

60.8%

Weekday Posts

39.2%

Weekend Posts

Top Hashtags

#f1 (1111) #sv5 (182) #feelthepassioninside (175) #ls18 (144) #frenchgp (125) #hungariangp (106) #abudhabigp (102) #ausgp (100) #bahraingp (100) #usgp (99)

Most Mentioned

@lance_stroll (265) @alo_oficial (154) @astonmartinf1 (139) @felipedrugovich (79) @conormcdphoto (76) @cognizant (75) @aramco (75) @cryptocom (68) @1jessicahawkins (65) @astonmartin (63)

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Content Strategy Analysis

Based on 3,249 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,021 (62%)
Replies 1,073 (33%)
Retweets 122 (4%)
Quote Tweets 33 (1%)

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 122 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 3,249 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 audience is primarily fans of Formula One and the Aston Martin team, including motorsport enthusiasts and followers of the brand's racing activities. The content is likely shared by both casual fans and dedicated racing followers.

Average

Audience Quality

32.5%

Suspicion Index

50.0%

Low-Quality %

5

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

59.6%

Empty Bio

50.4%

<10 Tweets

2.1%

Mass Following (>2K)

0.0%

New (<90 days)

63.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

92.9%

No URL

40.3%

<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.

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Follower Reach & Influence

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

7,314,593

Total Potential Reach

5

Median Follower Reach

38

75th Percentile Reach

1.6%

>1K followers

0.2%

>10K followers

0.0%

>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).

31.8%

Creators

15,881 accounts

17.8%

Consumers

8,919 accounts

50.4%

Dormant

25,200 accounts

161

Verified Followers

0.32% of total

2.7%

Professional Bios

founder, dev, analyst, etc.

0.06

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):

España (207) Madrid, Comunidad de Madrid (152) Madrid (138) London, England (104) Spain (99) United Kingdom (93) México (87) England, United Kingdom (82) Mexico (74) United States (68)

404

Verified Followers

0.4% of total

12,083

Protected Accounts

12.08% of total

5 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
@BRKsEDU 1,616,315 YouTuber Gaming, YouTube, Content Creation
@Albert_Rivera 1,198,085 Politician Politics, Freedom, Love
@loonaaa8 750,061 Influencer big tits, big heart, secrets
@pritipatel 457,693 Politician Politics, Government, Law
@carrusel 401,952 Sports Commentator Deporte, Emoción, Directo
@TheBraxXter 278,765 Streamer Gaming, Streaming, Business
@alertatotal 243,054 Journalist Politics, Journalism, Flamengo
@lapoelkann_ 193,449 Influencer LOVE, HOPE, Compassion
@SXX6YY 191,815 Adult entertainer Jerk, Hot, Wonder
@EdwardTHardy 153,218 Political commentator Politics, Journalism, Podcasting

Top Keywords in Follower Bios

f (1,666) love (808) vida (798) life (704) real (494) formula (487) madrid (475) enthusiast (451) amante (434) futbol (429)

Top Hashtags in Follower Bios

#f1 (116) #bitcoin (68) #1 (44) #btc (41) #nft (40) #crypto (35) #ln4 (33) #fa14 (26) #eth (22) #ynwa (21)

43,648

Followers With Bio

56,352

Followers Without Bio

43.65%

% With Bio

56.35%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,249 analyzed

569,578

Combined Engagement

502,216

Total Likes

67,362

Total Retweets

113,916

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

20%

With @Mentions

80%

With Links

Topical Analysis:

Formula One Racing Team Updates Fan Engagement Celebrations Brand Promotion

Key Insights & Takeaways

The account uses celebratory and emotional language to engage fans, such as 'YESSSS!' and '¡Feliz Día del Padre!'. It often references key team members like Fernando Alonso, which helps build personal connections with the audience. The use of emojis and links to tweets suggests a focus on creating an interactive and lively online presence.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 2,198,545
  • + 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 @AstonMartinF1 reveals an exceptionally influential Twitter presence with 2,198,545 followers. The account demonstrates a content-creator strategy, averaging 2,060.3 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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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