Blog for Marketing Attribution | Rockerbox

Webinar Recap: Enhancing Attribution with Validation and Calibration

Written by Ashley McAlpin | Dec 3, 2024 9:35:22 PM

In this insightful session, panelists Will Burghes, Head of Professional Services at Rockerbox, Eli Hile, Senior Director of data and analytics at Tombras, and Aoun Jafarey, Senior Vice President, Client Solutions & Data Science at Publicis Groupe delved into the intricacies of marketing measurement, emphasizing the importance of validation and calibration. The discussion revolved around leveraging methodologies like Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), and incrementality testing to refine attribution accuracy and optimize media investments.

Catch the session on demand here.

Key Takeaways

  1. Validation vs. Calibration
    • Validation: The process of assessing the reliability of attribution results using external data (e.g., testing, MMM).
    • Calibration: Adjusting attribution results to create unified KPIs, reflecting true marketing impact.
  2. Why Validation Matters
    • Ensures decisions are based on robust, cross-referenced data.
    • Helps mitigate biases and limitations inherent in single-model approaches.
    • Builds confidence in media investments by aligning closer to real-world outcomes.
  3. Choosing the Right Methodology
    • MMM: Ideal for holistic impact analysis, especially for established channels with extensive historical data.
    • Incrementality Testing: Flexible for new channels or tactics; effective for measuring specific questions like baseline incrementality.

Note: Channels like podcasts and influencers often demand tailored validation approaches due to control constraints.

  1. Real-World Applications
    • Case studies highlighted discrepancies between perceived and actual performance in channels like brand search, revealing surprising insights. For instance, tests showed significant variation in incrementality between brand and non-brand search terms.
  2. Integrating Insights into Strategy
    • Use tools like BI dashboards (e.g., Tableau, Power BI) to incorporate calibration multipliers into daily reporting.
    • Employ testing results to refine attribution models and optimize budget allocation.
  3. Handling Contradictions in Data
    • Expect differences between MMM, MTA, and testing outputs.
    • Prioritize testing for channels with significant discrepancies to reconcile and validate results.
  4. Future-Proofing Data Foundations
    • Invest in robust data collection infrastructure, focusing on granularity and consistency.
    • Standardize taxonomies across campaigns for seamless analysis and reporting.
    • Regularly audit data systems to ensure readiness for evolving methodologies.
  5. Communicating with Leadership
    • Address resistance to change by highlighting waste or missed opportunities.
    • Use real-world stories and low-risk tests to build credibility and buy-in for new approaches.

Final Thoughts


The webinar reinforced that while no model is perfect, combining methodologies like MMM and testing, paired with a strong data foundation, empowers marketers to navigate complexity and drive measurable impact. Participants left with actionable strategies to enhance their marketing measurement frameworks and foster alignment across teams and stakeholders.