SDS 481: Performance Marketing Analytics — with Kris Tait

Data Quality

Data quality is paramount in performance marketing, as emphasized by Kris Tait. He highlights the necessity of clean, first-party data to optimize marketing strategies effectively. By segmenting customer data based on purchasing behavior, brands can leverage machine learning algorithms from platforms like Google and Facebook to target high-value customers more precisely 1.

If you feed it bad data, you're not in a good scenario there. So that's what you get. Suboptimal performance if you put bad data in.

--- Kris Tait

Investing in data quality allows for predictive modeling and real-time programmatic media buying, which are crucial for staying competitive in today's market 2.

   

First-Party Data

The shift towards first-party data is reshaping marketing strategies, especially with privacy changes like iOS 14.5's app tracking transparency. Kris Tait explains that brands must adapt to having less data on customers, which impacts traditional methods like retargeting 3. This change necessitates innovative approaches using machine learning and data science to maintain effective marketing strategies.

Every brand that we're working with right now is working through that. They're thinking, okay, we're going to have less data on our, on our customers. What do we do about that?

--- Kris Tait

As Jon Krohn notes, understanding the marketing funnel—from prospecting to retargeting—is crucial for navigating this new landscape 4.