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Search marketing built on deep user data is no longer sustainable. Here’s how to evolve before performance takes a hit.
Some data points are hard and defined, but often the additional points of measurement feel too squishy for the data analysts involved in the modeling process. But for a marketing mix model to be ...
Brands can save 10-15% just by building a CSV data model. API Integrations. API data insights pick up where Excel feed data leaves off. The API is designed with the end-user in mind. The data can be ...
Predictive modeling is a statistical analysis of data used to generate future scenarios for organizations and companies. It can be used in any industry, enterprise, or endeavor in which data is ...
Analyzing attribution data provides you with an understanding of which marketing, sales, and customer success efforts are contributing most effectively and efficiently toward revenue generation.
Marketing mix modeling is emerging as a critical solution, offering data-driven insights to optimize marketing strategies, ...
There can be little doubt that marketing mix modeling (MMM) is having a moment. With the death of the cookie and increasing data privacy concerns from consumers, marketers are seeking alternatives to ...
Marketing measurement is messed up – it’s hard to argue otherwise – and most people agree on the reasons why: vanity metrics, imperfect models, unrealistic expectations. But there’s another issue at ...
Meridian, Google’s new open-source Marketing Mix Model (MMM), has entered the rapidly evolving market for advanced marketing analytics and forecasting tools. This article explores Meridian’s ...
Winning by Design (WbD) today released an updated version of its Bowtie Model, a Customer Journey Model and Data Model that extends the traditional ma ...
Data is more critical to marketing success than ever before, offering insights across the consumer lifecycle that can make or break a campaign. But not all data is created equal.
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