To evaluate the true value of our partnership with FDataAnalysis, we need to look beyond surface-level reach. By analyzing recent social metrics and qualitative discussion notes, this report uncovers actionable insights into campaign awareness, audience engagement quality, and platform-specific dynamics, pinpointing exactly where this F1 telemetry collaboration drives the highest impact.
Why this analysis matters
The FDataAnalysis partnership generates meaningful visibility across social channels, but high view counts can sometimes reflect passive exposure rather than active interest. To assess the partnership more fairly, the analysis looks at three levels:
- Total awareness: total views across platforms and years
- Engagement volume: likes and comments in addition to views
- Engagement efficiency: likes-per-view, comments-per-view, and performance relative to the number of posts
This framework helps answer the practical question: not just “Did people see the content?” but also “Did they engage with it?”
Overall partnership performance
Across all tracked FDataAnalysis posts, the partnership has produced a large cumulative reach.
| Year |
Posts |
Total Views |
Key Pattern |
| 2023 |
43 |
2,414,287 |
Early foundation year with activity concentrated on X and Instagram |
| 2024 |
78 |
8,867,498 |
Major growth year, including several breakout posts |
| 2025 |
130 |
15,615,579 |
Largest overall scale and widest platform mix |
| 2026 |
53 |
4,795,093 |
Smaller volume so far, but still substantial reach |
FDataAnalysis is an effective visibility partner. The total reach scale shows that the content is being surfaced widely across audiences.

The graph above combines data across all years to compare views, likes, and comments across platforms. Based on this view, Facebook delivers the highest overall view volume, indicating the strongest reach among the platforms analyzed. At the same time, Facebook also shows relatively stronger comment concentration, suggesting that platform audiences are not only seeing the content but are also more likely to respond in comments.
Why views are not enough
But views alone are not enough to justify performance; a user may scroll past a post and still count as a view. That makes reach useful, but incomplete. To address this, the analysis compares views against likes and comments. This provides a clearer sense of whether the audience is simply exposed to the content or actively responding to it.
A strong partnership should ideally produce both reach and interaction. High views with low engagement may indicate broad exposure, while high engagement relative to views suggests deeper audience interest.
Several posts performed far above the rest (which are being tagged and labeled).

The platform breakdown shows clear differences in how audiences respond. The strongest recurring pattern is that Instagram appears worth continued investment. Over the years, Instagram has consistently shown healthier engagement, especially in likes and, often, comments. Facebook, meanwhile, stands out for comments and a few highly viral moments.
Engagement rate tells a clearer story
When likes and comments are divided by views, the results become more comparable. This helps answer whether engagement is strong relative to audience size.

Based on the analysis above, 2024 appears to have the highest overall engagement rate, and the outlier posts seem to fit within the story for 2024.
Instagram consistently outperforms Facebook in like rate year over year. By contrast, Facebook and Threads show relatively stronger comment concentration than like concentration, though Facebook still delivers a stronger overall performance than Threads. In addition, Threads appears to be showing a growing like-rate over time.
2025 appears weaker in engagement rate than 2024, despite a much larger total volume of content posted.
Performance per post
Another useful lens is performance relative to posting volume. Different years had different numbers of posts, so totals alone can be misleading.

Based on the graph above, we see that in 2024, Facebook generated about 2.4 million views from only 2 posts?! In the same year, Instagram generated roughly 2.4 million views from 37 posts. In 2025, Facebook produced about 6.1 million views from 29 posts. In 2025, Instagram produced about 4.3 million views from 30 posts.
This shows that Facebook can deliver exceptional views per post, especially when a topic goes viral. However, that performance appears to be driven by a small number of standout posts rather than by broad consistency. Instagram, by contrast, appears more stable and repeatable. It may not always deliver the biggest spikes, but it provides a healthier, more consistent engagement profile across a larger set of posts.
In summary, the graphs highlight several key patterns:
- Facebook delivers remarkable reach per post, but this is typically driven by a handful of viral successes rather than consistent performance.
- Instagram offers more stable and high-quality engagement, making it a reliable platform for ongoing interaction.
- Engagement efficiency—likes and comments per view—was at its peak in 2024, with Instagram leading on like rate and Facebook on comment rate.
- Threads, while still smaller in scale, is showing promising growth in engagement.
Curious to see the engagement in action?
Check out his latest posts and follow along here:
If you spot additional trends or want to dive deeper, let’s explore the data together! I had a lot of fun experimenting with JMP (there were plenty of “wow” moments, and it really helped clarify my thought process). Huge thanks to @Jeremy_Tee for your invaluable time teaching me to plot graphs in JMP.