Arrow McLaren IndyCar Team
Official home of the Arrow McLaren IndyCar Team. 🧡 Drivers: @PatricioOWard, @malukasdavid & @AlexanderRossi
124,781
Followers
404
Following
21,486
Tweets
593.1
Avg Engagement
1,023
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ArrowMcLaren'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:2011-03-25
- Verification:Yes
- Location:Indianapolis, IN
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:556.4
- Avg Retweets per Tweet:36.7
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,246 tweetsThe account maintains a high level of engagement through celebratory and motivational tweets, often featuring links to race highlights and driver updates. Retweets and likes indicate strong community interaction and support for the team.
556.4
Avg Likes/Tweet
36.7
Avg Retweets/Tweet
1,806,167
Total Likes
119,049
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
262
Median Likes
10
Median Retweets
649
75th Percentile
19,962
Top Tweet
4.75
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
73.7%
Original
19.7%
Replies
4.9%
Retweets
1.8%
Quotes
0.0%
Threads
0.2%
With Media
76.6%
With Links
27.5%
With #Tags
36.7%
With @Mentions
69.0%
With Emojis
83
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.27
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
57.0%
Weekday Posts
43.0%
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 3,246 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 158 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 3,246 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 10,000 followersThe primary audience consists of motorsport fans, IndyCar enthusiasts, and followers of the team's drivers. The content is tailored to engage with fans who are passionate about racing and team achievements.
Average
Audience Quality
23.7%
Suspicion Index
31.5%
Low-Quality %
30
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.7%
Empty Bio
25.8%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
52.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.9%
No URL
18.4%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
4,614,545
Total Potential Reach
30
Median Follower Reach
130
75th Percentile Reach
3.8%
>1K followers
0.4%
>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).
54.5%
Creators
5,454 accounts
19.7%
Consumers
1,968 accounts
25.8%
Dormant
2,578 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):
81
Verified Followers
0.81% of total
1,098
Protected Accounts
10.98% 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 |
|---|---|---|---|
| @LeBronJames | 1,005,149 | - | - |
| @TonyKanaan | 631,148 | Racing Driver | IndyCar, Racing, Endurance |
| @EdwardTHardy | 152,107 | Political commentator | Politics, Journalism, Podcasting |
| @lkQDSNT1BhrOCHd | 103,392 | - | - |
| @sascha348 | 94,654 | Broadcaster | music, sports, events |
| @jameslhbartlett | 76,811 | Entrepreneur | Business, Innovation, Life-long Learning |
| @realluckyharmon | 57,917 | - | - |
| @GaryPaffett | 52,922 | Racing Driver | Motorsport, Development, Advisory |
| @PabloGuzmanDice | 46,267 | Politician | politics, dreams, hope |
| @crisenaredbull | 38,990 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,528
Followers With Bio
4,472
Followers Without Bio
55.28%
% With Bio
44.72%
% 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 3,246 analyzed71,982
Combined Engagement
65,753
Total Likes
6,229
Total Retweets
14,396
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
100%
With Links
Topical Analysis:
The legend. 🔥 https://t.co/Tzrp2CP3EM
Had to do one better. 😉 @PatricioOWard is heading back to the podium in Iowa! 🏆 https://t.co/e9jfH7bVY9
Keep collecting those big points. 👊🧡 Congrats, @PatricioOWard! https://t.co/JxecAGAhNN
Getting it done at Barber! 🏆 Now that’s how you kick off the month of May. 🤩 #INDYCAR / #HIGPA https://t.co/WcXdBwk2Qi
Best view in Mid-Ohio.👀 @PatricioOWard takes pole! https://t.co/PDlPAHLkRC
Key Insights & Takeaways
The account heavily focuses on celebrating driver victories and milestones, which drives engagement. It uses emojis and enthusiastic language to create a lively and supportive tone. Top tweets often include links to race highlights, suggesting a strategy to drive traffic and maintain audience interest.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 124,781
- + 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 @ArrowMcLaren reveals an well-established Twitter presence with 124,781 followers. The account demonstrates a content-creator strategy, averaging 593.1 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