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5 ways marketers leave customer value on the table (and what to do about it)

As marketers, we’re often extremely focused on bringing new customers into the fold. And let me tell you there’s nothing wrong with that. In fact, it’s entirely necessary, especially during certain stages of your business lifecycle.

But here’s the deal – you’re most certainly leaving value on the table with customers that you already have.

Confusion Matrices Hold the Key to a High Performing Predictive Model

Most of us probably realize that there is incredible power in predictive models and machine learning models. These models can help predict our customers’ future behavior before it happens, create individualized customer experiences, and help us connect to our customers on a deeper level.

However, did you know that every predictive model comes with its own set of trade-offs? That’s right, many times, by maximizing predictive accuracy in one area, you can actually increase your error in another area.

Read on to learn how to balance these trade-offs and take advantage of predictive modeling.

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