Learn how the most successful modern companies leverage customer behavior data and analytics to drive customer acquisition, retention and growth—and why you should too.
Expressing customer behaviors in SQL or other query languages is awkward, difficult to debug, and challenging to communicate and document. 'Thinking in journeys' is a new analytics approach built around customer behavior that fundamentally changes the way you'll think about customer analytics.
This post takes a detailed look at the importance of churn, the different types of churn, reviews different ways to calculate customer and revenue churn and, most importantly, discusses new ways to reduce churn using journey analytics.
Customer journey analytics is a lot more than a software solution—it is a whole new approach to marketing and customer experience. To do it right means to become customer-obsessed and not just customer-focused. This blog post will help define the 8 most important factors to include in your evaluation when selecting a customer journey analytics platform.
Customer journey analytics platforms are a great, even necessary, addition to your marketing technology stack across both B2C and B2B companies. From segmentation, targeting and journey discovery to customer behavior monitoring and engagement, customer journey analytics tools enhance marketing campaigns every step of the way and deliver more value from your martech stack.
A large majority of companies still see each device and each interaction as a separate customer, fracturing the customer journey into disparate fragments. This post explains why optimizing omnichannel customer journeys is critically important, the constraints in doing so, and how customer journey analytics can help.