Categoría: Marketing analytics

The pitfalls and practical realities of using generative AI in your analytics workflow

The key to a successful generative AI project is for the end user to have a clear expectation for the final output.

The post The pitfalls and practical realities of using generative AI in your analytics workflow appeared first on MarTech.

4 tips to ease the transition from UA to GA4

It’s less than two months until Universal Analytics sunsets. The «Google Whispere» is here to help you transition to Google Analytics 4.

The post 4 tips to ease the transition from UA to GA4 appeared first on MarTech.

Google sets deadline for getting data out of Universal Analytics

UA stops collecting data on July 1. For the following year users will have Viewer access to historical data and reports in the user interface.

The post Google sets deadline for getting data out of Universal Analytics appeared first on MarTech.

Google to remove GA4 integration with Optimize

The good news is that Google plans to replace it with something bigger and better.

The post Google to remove GA4 integration with Optimize appeared first on MarTech.

Spend on marketing analytics and data infrastructure to grow sharply

Winterberry Group predicts more than a 30% increase in data and analytics investments across the U.S. and Europe.

The post Spend on marketing analytics and data infrastructure to grow sharply appeared first on MarTech.

Why we care about marketing attribution modeling

Learn more about attribution modeling, what it is, different types of attribution modeling and how you can use it as a digital marketer.

The post Why we care about marketing attribution modeling appeared first on MarTech.

Should you use your data warehouse as your CDP?

There’s a case for and against using your data warehouse as a customer data platform. Here are three ways to make it work.

The post Should you use your data warehouse as your CDP? appeared first on MarTech.

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