Product Analytics
User engagement ultimately assesses how frequently, and how long a user interacts with your product, app or website.
Product Analytics
Funnel analysis helps product managers and marketing teams understand the user flow across a website. The goal of funnel analysis is to observe the steps a user takes to get to a desired outcome.
Terminology
Each of your software products, apps and digital tools collect a wealth of product usage data, which gives your organization quantifiable information about your end users, and their relationship with your technology.
Product Analytics
Retention rate shows the percentage of customers who pay for a product continuously over a given period. For example, businesses that operate from a subscription-based model will pay close attention to retention rate to estimate customer lifetime value, and to forecast revenue.
As AI, IoT, and data privacy regulations continue to evolve, there is tremendous potential for consumer-focused industries to transform the way they interact with customers. In a privacy-first DX 2.0 economy, a brand's success depends on its ability to quickly generate comprehensive 360° customer profiles, analyze data from multiple channels, and deliver dynamic and hyper-personalized experiences in real-time.
The future of privacy compliance is still in limbo, but one to keep tabs on. President Biden’s recent executive order may have laid the framework for a new era of transatlantic privacy compliance, but it will likely be several months before the framework receives EU regulator approval, let alone the enviable legal challenges to follow. In the meantime, the stakes have never been higher for transatlantic brands.
Customer data platforms (CDPs) help businesses aggregate and analyze customer data from multiple channels. As brands interact with consumers through various touchpoints, the CDP cleans and unifies the data to build more complete customer profiles. But getting a true 360° view of user behavior remains a challenge.
Time-series data is everywhere—whether or not your brand is equipped to handle it. Data-driven organizations need time-series analysis platforms to make the most of their data, but some brands may not realize there are different techniques for achieving time-series analysis. The question isn’t whether time-series analytics platforms are worth it—they are—but knowing which analysis technique is best suited for your brand goals and needs.
Explore what a true self-service customer experience analytics platform can do for your business.
Learn how Bleacher Report uses Scuba to rapidly gain insights into user behavior, increase conversion and engagement, build satisfaction, and redesign their web and mobile applications.
Learn how Scuba is helping Edmunds enable self-service analytics for business users, analysts and executives - faster than complex SQL-based queries.
One of the largest telecomms in the world set an ambitious goal – to dramatically improve their customer experience. They wanted a real time customer experience analytics solution to tackle changing consumer demands and growing competitive pressures.
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