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Post by anamika371 on Jan 13, 2024 21:09:08 GMT 10
Offers a number of products and services to help you get all your relevant customer data in one place. We highly recommend giving them a look! customer-health-scoring-gainsight-interface Via Gainsight. . Nail down your predictive signals Once you’ve determined which outcome you’ll use as the base of your customers’ health scores, you need a way to predict the likelihood of that outcome. This is where predictive signals come in. Essentially, a predictive signal is any behavior that’s related to the outcome you’ve Email Marketing List selected. For simplicity, let’s say you’ve decided to predict the likelihood of churn for each customer. In order to determine the best predictive signals, you need to ask yourself: Which behaviors may indicate that a customer is liable to churn? For now, let’s stick with just three answers: Lack of product usage: If a customer has barely used your product in recent weeks, they may be liable to churn. Narrow product usage. If a customer only uses a narrow range of features within your product, they may be liable to churn. Inadequate results: If your product isn’t making a substantial impact on a customer’s business, they may be liable to churn. I think the importance of picking the right predictive signals is pretty clear: The closer the correlations between your signals and your outcome, the more accurate your customers’ health scores will be. I like to think of each signal as an ingredient and the overall health scoring.
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