Unlocking the holy grail of true ROAS measurement

In this episode, Nora Hungersilver, is joined by data and tech veterans Brent Banning (Pragmaticians) and Ted Goon (Riserata). Discover how to navigate the explosion of marketing data, unify online and offline insights, and build truly effective ROAS measurement frameworks. From understanding data consolidation to avoiding common reporting pitfalls, this session is packed with expert advice and real-world examples to help you optimize your marketing spend and drive measurable growth.

Sun Sep 21 2025
  • The critical importance of unifying marketing data for comprehensive ROAS insights.
  • Practical approaches to automating data integration, including online and offline sources.
  • Identifying and overcoming common challenges in marketing reporting and attribution.
  • Strategies to leverage data for smarter decision-making and improved campaign performance.

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Learn from Supermetrics' experts how to use data to fuel growth and maximize the ROI of your marketing spend.

Key takeaways:

1. More data, better decisions (If Managed Well)

Marketers today are dealing with a 230% increase in data since 2020, yet 56% in APAC lack time for proper analysis. Unified data helps cut through the noise and drive meaningful decisions.

2. Start with the "Why"

Before consolidating data, clearly define what you want to measure and the questions you need to answer for your stakeholders.

3. Prioritize and automate strategically

Begin by unifying data from your biggest spending channels (e.g., social) and gradually integrate other sources. Automation, even if partial, is key to building a valuable historical data asset.

4. Beware of data silos and naming conventions

Inconsistent naming conventions and departmental silos are major pitfalls. Foster a culture of data sharing and ensure data is regularly pulled in-house.

5. Integrate offline data for a full picture

Overcome the challenge of connecting offline and online data by ensuring data accessibility and understanding how different sources can "talk" to each other to accurately attribute customer journeys.

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