Customer Loyalty, Data and Development
How to Use Data and AI to Predict and Improve Your NPS Score
Net Promoter Score (NPS) has become a KPI at many organizations, and for good reason. It is simple to measure and has the distinctive ability to indicate how the business will perform on several other metrics, including customer retention and revenue.
The challenge with current NPS data approaches
While NPS is easy to measure, it is difficult to improve. Organizations understand that detractors have low NPS because they have had an unsatisfactory experience at some point in their customer journey. However, identifying where or when the unsatisfactory experience occurred is a challenge. This is especially true for financial services organizations, where customers have unique and complex journeys through various different products and services. NPS suffers from these challenges for a few reasons:
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Grow Click Rates to 10% Using One-Click Email Surveys
In our last blog post, we touted the benefits and popularity of one-click email surveys, particularly compared to traditional tools like Google Forms and SurveyMonkey. But how do these surveys perform in terms of engagement?
Online surveys typically suffer from low response rates (and even lower completion rates, especially if a survey takes more than a few minutes to complete). A University of Florida study found that online surveys are 11% less effective than mail/phone surveys, and response rates of 2% are not uncommon. The advantage, of course, is that online surveys cost very little to run, and give easy access to tens of thousands of respondents.
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Why You Should Send One-Click Email Surveys
Every company wants to be asking customers how they can improve their products and deliver a better customer experience. This feedback is often collected through telephone calls, focus groups, or conference workshops. From our experience, the most common approach is a digital survey, where a customer receives an email asking them to fill out a long website-based feedback form. (more…)
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Introducing our Guide to Cohort Analysis
Marketers know that customer retention plays an important role in fostering customer loyalty and revenue growth. After all, if you are losing a large chunk of the customers you bring in every month, then your hard-earned customer acquisition efforts are being siphoned away by churn.
But how do you know if your recent marketing and retention campaigns are performing well? In aggregate, top-line metrics such as customer growth or total revenue tell you very little about your individual customers, and can even hide recent successes – or problems – in your acquisition or retention efforts. Are newer customers acting in a similar way as our customers have in the past? Do these new customers spend as much as past customers? How much are they likely to spend in their first year?
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