Customer Lifetime Value (CLV) is the ultimate KPI. In this post, author Steve Offsey explains why CLV is so important for customer experience leaders.
CX teams are challenged to connect data, identify and prioritize problems and opportunities, and measure the impact of CX initiatives. Read how leading teams are solving CX challenges with customer journey analytics.
By Steve Offsey Customer Experience metrics like Net Promoter Score® (NPS®) clearly matter. NPS has gained a lot of traction in recent years and is now the most widely used CX metric. But now that you’re measuring it, how do you improve NPS? In this post, I’ll provide a detailed look at how to improve NPS. [...]
How to improve your return on investment in platforms like Medallia, Qualtrics and Clarabridge By Steve Offsey Most organizations that have implemented a voice of customer program are happily collecting and analyzing multiple forms of customer feedback. But after an initial burst of excitement from obtaining real customer feedback, your CEO wants to know what’s driving [...]
By Steve Offsey Your company is now competing based on customer experience, but you're only capturing feedback from a quarter of your customers and tracking maybe 1 out of 2500 interactions. You know you need the right customer data analytics tools to discover customer journeys, understand customer behavior and provide your customers with a better experience. [...]
Customer journey analytics is not a monolithic approach designed to address a single problem. All customer journey analytics tools do not include an identical set of capabilities, nor do they prioritize the capabilities they do include in the same way. This post is designed to help you find the best customer journey analytics platform for your business needs.
To deliver on their promise, journey maps need to evolve beyond a fuzzy, static snapshot of customer experience and become measurable and dynamic. Here are 5 ways you can use customer journey analytics to make your journey maps measurable by turning them into dynamic visualizations of your customers’ real-time behavior and its impact on the KPIs your business is measured by.
The debate on the importance of customer experience is over. Nevertheless, CX leaders are finding it difficult to make the quantitative link between customer behavior and business outcomes, so they can move beyond relying on gut feel and qualitative data to prioritize decisions. In this post, I’ll describe how customer journey analytics can help you improve customer experience and make it actionable by directly tying customer experiences to hard metrics like revenue and profitability.
Companies are benefiting from customer journey analytics across marketing and customer experience, as the results are real, immediate and have a lasting effect. In this post, I’ll illustrate five ways you can use customer journey analytics to provide an immediate impact to your business through real use cases covering a variety of industries.
If you find yourself asking ‘what is customer journey analytics?’ you are not alone. Customer Journey Analytics is the weaving together of every touchpoint that a customer interacts with, across multiple channels and over time. It connects millions of events into journeys from your customers’ point of view and is a data-driven approach to discovering, analyzing and influencing your customers’ journeys.