How to Calculate the Customer Health Index for Sustained Performance and Improved Client Retention (By up to 95%)

customer health indexThe customer’s Net Promoter Score (NPS) was in the highest percentile, yet I found myself closing the account. How did we miss this churning customer? Were there early warning signs we’d failed to notice?

I used to work as a technical customer service representative for an environmental testing laboratory. It was my job to keep an eye on the accounts I handled. I needed to make sure the customers were happy and meeting their goals with us. For this, we relied heavily on NPS scoring, but this measure was failing us.

NPS scoring could be failing you, too.

The problem is that NPS metrics give reactive, snapshot values. Plus there are other aspects to an account’s health beyond customer satisfaction. For instance, you need to understand your customer’s goals and whether they’re on track to meeting those goals.

According to McKinsey and Company, perfecting account health scoring can improve client retention by up to 95%. If I knew this, I could have prevented that one account from churning. In this Process Street article, we introduce a more comprehensive and proactive means of determining the health of your accounts: the customer health index (CHI).

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How to Have a Customer Health Score Beyond Just NPS (Which We Know 46% of You Use!)

How to Have a Customer Health Score Beyond Just NPS (Which We Know 46% of You Use!)_Rev2-04
To excel at customer success you need to understand your customer health score. According to a study by Gartner, 88% of Account Managers (CSMs) think they can grow by delivering a great service, which is reflected in your customer health score measures.

A customer health score is a metric used to determine whether customers are healthy or at-risk of dropping off. Customers with high health scores are high-value, repeat customers – this comes hand-in-hand with business growth.

In this Process Street article, we give you 7 vital indicators you need for determining customer health. We then explain how you can use these indicators to calculate customer health score values, before looking at examples of customer health scoring in practice.

Click on the relevant subheader to jump to your section of choice, alternatively scroll down to read all we have to say.

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How to Build a Customer Feedback Analysis Process (with AI!)

The following is a guest post submission from Federico Pascual, co-founder and COO of MonkeyLearn.

Customer feedback doesn’t just come in through your site’s contact form – it’s everywhere.

You only have to search the Twitter handle of any product with more than a few hundred users to see that customers love to offer their opinion – positive and negative. It’s useful to be monitoring this and learning from it, but casually collecting feedback on an ad-hoc basis isn’t enough.

Startups thrive on feedback as their ‘North star’, and are constantly evolving based on what their customers request, break, and complain about. Enterprises also can’t overlook the fact that customers are what make any company tick, and must struggle harder than startups to stay relevant and innovate.

So, if you’re just collecting feedback ‘as and when’ it comes in, you’re missing out on data that’s just as important as page views or engagement. It’s like deciding not to bother setting up Google Analytics on your homepage, or not properly configuring your CRM; in the end, you’re deciding to not benefit from data that will have a transformative effect on your product strategy.

With a dataset of feedback – whether that’s from customer reviews, support tickets, or social media – you can dig into the words your customers are using to describe certain parts of your product and get insights into what they like, and what they don’t like. In this post, I’m going to show you how.

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How to Calculate NPS with the Perfect Customer Happiness Survey

Calculate NPS

Customer Happiness is a metric unlike any other.

It’s not founded on principles of revenue, bounce rate or any other traditionally mathematical ideas.

Customer Happiness is based on emotions, not data. And while these emotions can be formulated as data, one of the first steps is to work out how.

In this blog post series we’ve already covered the definition of customer success, why customer success is important and churn for SaaS companies.

Have you ever received this email?

Chances are, you’ve got an email at some point that looks like this:

Microsoft NPS survey

The outcome of this question is used to formulate your Net Promoter Score (NPS), one of the metrics that measures the health of your company and the effectiveness of your Customer Success strategy.

Some companies will ask for your response on a scale of 1-10, some in a series of phrases like the Microsoft example above. I’ve even seen 🙂 and 🙁 as options.

How do these responses translate to a solid representation of customer happiness?

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