Article • 2024-04-06 • 3 min read

Distributed ROAS

Surya Kunju
Surya Kunju
AI Systems & Applied Machine Learning • YouTube: @suryakunju
Distributed ROAS

Digital marketing has relied heavily on Return on Ad Spend (ROAS) as a primary metric and I believe that focusing solely on ROAS can limit our perspective on marketing success.

I'd like to introduce a new concept called ROAS Distribution.

This approach involves assessing the distribution of ROAS across different campaigns within the customer journey. It offers a more comprehensive understanding of marketing effectiveness than traditional, isolated campaign-level ROAS analysis.

Let me explain using an example:

Imagine three campaigns:

Traditionally, focusing solely on each campaign's ROAS might lead us to conclude that the social media campaign is underperforming. However, ROAS Distribution considers the broader picture. The social media campaign, despite its lower ROAS, plays a crucial role in attracting potential customers at the initial stage of the funnel.

ROAS Distribution provides a holistic view of the customer journey, allowing marketers to understand how different campaigns contribute to overall success. It enables a more nuanced analysis, optimization, and strategic allocation of marketing resources.

Discovering Insights with ROAS Distribution Analysis:

Implementing ROAS Distribution:

Case Study: Increase website sales of a specific product line

Campaigns:

Results

ROAS Distribution

Conclusion?

The three marketing campaigns, run simultaneously over the same date range, demonstrated significantly different ROAS values. This highlights the importance of using multiple channels and tailored targeting strategies to reach different audience segments effectively.

Key findings:

Recommendations

ROAS Distribution empowers marketers to see the bigger picture. By analyzing the distribution of ROAS across all campaigns, we can optimize the entire marketing funnel, not just individual campaigns. This revolutionary approach paves the way for smarter budget allocation, targeted experimentation, and ultimately, a maximized return on every marketing dollar invested.

Want More Hands-On AI & Systems Deep Dives?

I publish weekly production architectures, live coding breakdowns, and technical analyses on YouTube.