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Archive | Customer Success

Figure 2. Customer Analytics Maturity Matrix

Customer Success Executives Need to Answer These 3 Critical Questions

In today’s subscription-based economy, customers are no longer trapped in long-term contracts; instead, they are able to jump to competitors easily when they become dissatisfied with their current vendor. Consequently, many subscription-based and SaaS companies are turning to the practice of Customer Success to retain their customers. Customer Success is the function in a company […]

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4 Reasons Why Customer Retention Matters to Your Customer Acquisition Efforts

Business growth depends on acquiring new customers and keeping them around for a long time. Yet businesses are over 2x more likely to focus on acquisition efforts than they are retention efforts. In today’s post, I want to discuss why businesses need to increase their focus on customer retention efforts and why the are imperative to your […]

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Use These Four Criteria to Develop and Evaluate Your Customer Health Score

Businesses have been putting the customer at the center of their strategy for decades. Adopting a customer-centric strategy, businesses are building their company around the customer to ensure their customers remain satisfied with the relationship and receive value from their products and services. Business leaders are now relying on customer metrics as a way of […]

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How Data Science Helps Customer Success Leaders Answer 5 Important Questions About Customer Churn

Data science methods and related tools (i.g., predictive analytics, machine learning) can help companies improve their customer success programs by answering 5 important questions about customer churn, including what is the current churn/retention rate (e.g., descriptive analytics), who is at risk for churning (predictive analytics), what actions can prevent churn (i.e., prescriptive analytics) and more. […]

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Figure 2. Analytical Leaders

Why You Need to Adopt Data Science and Machine Learning in your Customer Experience/Success Program

A study of 80+ companies showed that analytical leading companies (those who use analytics to gain a competitive advantage), more so than analytical lagging companies, leverage their data differently. Analytical Leaders focus their analytics to improve customer loyalty while Analytical Laggards focus their efforts primarily to reduce enterprise costs. Additionally, Analytical Leaders, compared to Analytical […]

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Figure 1. Companies vary on their ability to compete on analytics.

Customer Analytics Best Practices: Free White Paper

We surveyed 80+ customer-centric professionals in companies with formal customer-centric programs (e.g., customer experience, customer success) to determine the state of analytics in customer programs as well as identify what analytical leading companies (companies who use analytics to gain a competitive advantage) do differently in their customer programs compared to their analytical lagging counterparts. We […]

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State of Analytics In Customer Programs: Customer Loyalty Focus, Machine Learning Adoption and the Data Science Skill Gap

A new customer analytics survey of 80+ companies provides a look into the state of analytics in customer programs. Only 32% of respondents are satisfied with their company’s use of analytics to create a competitive advantage. The use of multiple survey methods is the most common practice across companies (80% of companies). The use of […]

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bob@businessoverbroadway.com | 206.372.5990

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