[Podcast] Episode 11: Practical Attribution Strategies for Modern Marketers

Practical Attribution Strategies for Modern Marketers

  • Spot Attribution: This focuses on short-term, immediate effects, typically measured within minutes of an ad airing. This granular method allows advertisers to see how each commercial impacts key performance indicators (KPIs) such as website visits or sales, providing an instant understanding of effectiveness.
  • Marketing Mix Modelling (MMM): Unlike spot attribution, MMM captures the broader, long-term impact of TV ads, including the cumulative effect over time. MMM provides a more holistic view by incorporating multiple variables, such as external factors and other channels, to understand the bigger picture.
  • Regional Models: By splitting data regionally, advertisers can analyse the performance of campaigns across different geographical areas. This method compensates for a lack of minute-level granularity and allows for more reliable attribution in the absence of larger audience blocks.
  • Surveys: Surveys like “How did you hear about us?” are increasingly used to track the true impact of VOD and CTV, providing qualitative insights that complement quantitative data..
  • Clean Rooms: These environments allow for secure data sharing between platforms, allowing advertisers to match users and track their behaviour across digital channels.
  • Modelled Data: With tools like Google Analytics 4 relying more on modelled data, it’s crucial for marketers to understand how these models work. However, no single tool offers a complete view. Using multiple tools in conjunction, such as Marketing Mix Modelling (MMM), helps paint a more accurate picture of campaign performance.
  • Ensure Data Quality: The foundation of effective attribution lies in the quality of the data. As the saying goes, “garbage in, garbage out.” Validating data and ensuring it’s clean is critical to producing reliable insights.
  • Set Up a Data Infrastructure: Utilising data lakes — ( essentially cloud-based stores designed to hold vast amounts of structured and unstructured data) allows for better integration and analysis of marketing data. This centralised approach facilitates easier model building and insights generation.
  • Provide a Clear Brief: A strong brief outlining campaign objectives ensures that data analysis is focused on answering the right questions. This clarity simplifies data interpretation and keeps efforts aligned with business goals.
  • Prioritise Consistent Metrics: Measuring consistent metrics across channels is vital. For instance, defining what constitutes a “visit” or “conversion” must be uniform across platforms to avoid discrepancies.
  • Consider External Factors: External variables like seasonality, the economic environment, or a public health crisis can dramatically influence campaign performance. Incorporating these factors into your analysis ensures a more accurate understanding of results.

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