BWT Alpine F1 Team
The official X account of BWT Alpine F1 Team 💙🩷 Drivers: @OconEsteban & @PierreGASLY
2,156,541
Followers
2,745
Following
86,164
Tweets
1,323.2
Avg Engagement
35,947
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @AlpineF1Team'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:2009-04-02
- Verification:Yes
- Location:Enstone and Viry-Châtillon
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:1,227.4
- Avg Retweets per Tweet:95.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account consistently receives high average likes and retweets, indicating strong audience interaction. Engagement is further boosted by mentions from drivers and race-specific content.
1,227.4
Avg Likes/Tweet
95.8
Avg Retweets/Tweet
3,989,132
Total Likes
311,268
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
390
Median Likes
21
Median Retweets
1,041
75th Percentile
115,503
Top Tweet
0.61
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.4%
Original
15.1%
Replies
4.6%
Retweets
2.8%
Quotes
0.0%
Threads
1.0%
With Media
68.2%
With Links
82.3%
With #Tags
27.5%
With @Mentions
58.7%
With Emojis
92
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.2
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
45.0%
Weekday Posts
55.0%
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 149 retweets (5% 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 followersThe primary audience includes Formula 1 fans, motorsport enthusiasts, and followers of the drivers Esteban Ocon and Pierre Gasly. The account also attracts general sports and entertainment followers.
Average
Audience Quality
34.9%
Suspicion Index
51.6%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
60.4%
Empty Bio
53.5%
<10 Tweets
2.4%
Mass Following (>2K)
0.0%
New (<90 days)
71.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.5%
No URL
42.7%
<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.
8,482,814
Total Potential Reach
4
Median Follower Reach
28
75th Percentile Reach
1.6%
>1K followers
0.2%
>10K followers
0.1%
>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).
27.9%
Creators
13,973 accounts
18.5%
Consumers
9,264 accounts
53.5%
Dormant
26,763 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):
321
Verified Followers
0.32% of total
10,982
Protected Accounts
10.87% of total
3 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 |
|---|---|---|---|
| @muyskerm | 651,942 | Gamer | Gaming, Podcasts, Partnerships |
| @Moreno | 430,173 | Influencer | Business, Manager, Serious |
| @thomaspower | 288,420 | Entrepreneur | AI, Bitcoin, Climate |
| @bandsports | 276,961 | Sports Broadcaster | esportes, canal, oficial |
| @ConorSketches | 258,957 | Impressionist | GOLF, FOOTBALL, GAA |
| @darcydonavan | 240,338 | Actress | Acting, Music, Producing |
| @cryptoguru_me | 206,117 | - | - |
| @f1trolls_ | 200,222 | - | - |
| @VenetianVegas | 177,618 | Hospitality | Las Vegas, Forbes Travel Guide, Stories |
| @NFTGUYY | 153,500 | NFT Promoter | NFTs, Giveaways, Crypto |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
38,589
Followers With Bio
62,410
Followers Without Bio
38.21%
% With Bio
61.79%
% 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 analyzed282,383
Combined Engagement
264,886
Total Likes
17,497
Total Retweets
56,477
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
BWT Alpine F1 Team: Liked by @PierreGasly 💙 https://t.co/8DgNUpGJAE
https://t.co/qhtYPn0Gka
@FabrizioRomano @PierreGASLY 🤔
😃👍 #CanadianGP 🇨🇦 https://t.co/VuyXMkfIpA
Moving in day. Hello, @PierreGASLY 👋 #F1Testing #Gasly https://t.co/rq8wacQPoN
Key Insights & Takeaways
The account benefits from direct engagement with drivers, which increases credibility and follower interaction. Content related to specific races, like the Canadian GP, drives higher engagement and shares. Verified status and driver association contribute to the account's authority and visibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 2,156,541
- + 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 @AlpineF1Team reveals an exceptionally influential Twitter presence with 2,156,541 followers. The account demonstrates a content-creator strategy, averaging 1,323.2 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