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Without effective UX analytics that goes beyond collecting data, you’re losing valuable customers. Unfortunately, the research backs this up, with a staggering 90% of users reporting that they stopped using an app due to poor performance. It covers key topics, such as: Defining UX analytics. What is UX analytics?
Think of Net Promoter Score (NPS) software as a tool to measure your customers’ feelings about your product, and categorize them based on their level of loyalty (promoters, neutrals, and detractors). The great advantage of these tools is that they streamline the creation, distribution, and analysis of NPS surveys.
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Well, it’s not quite that simple – despite the influx of customer conversations, it can be hard to derive meaningful insights from all that data. Identifying the right insights is key to operating at scale while keeping your customer experience personal, but it’s a huge challenge to find the signal in the noise.
When your company adopts multiple SaaS solutions to drive productivity, you unknowingly create a perfect storm for data fragmentation. Your customer information lives in Salesforce, while your support tickets are in Zendesk, your product usage data in Mixpanel, and your marketing campaigns in HubSpot. Sound familiar?
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You know your product collects tons of data. Datavisualizationtools help turn your messy spreadsheets into clear, interactive insights. The best ones dont even need SQL or data science skills. Because product analytics should be easy and accessible for everyone, not just data experts.
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Speaker: Daniel O'Sullivan, Product Designer, nCino and Jeff Hudock, Senior Product Manager, nCino
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Speaker: Dean Yao, Director of Marketing at Jinfonet
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Case Study: Improving Data-Driven Decision Making for CSR Leadership Civian is a data-driven platform designed to help businesses measure, optimize, and showcase the social and economic impact of their investments in communities. Feature Engagement Users most frequently gravitated toward the map to explore and compare data.
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A customer sentiment dashboard is a great way to visualize customer feedback and see what users love (or hate) about your product. But how do you collect the right data for your analysis? This article shows you a step-by-step process and some of the best tools to use. Track customer behavior for experience insights.
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If you are a SaaS company, the chances are you’ve come across the term “self-serve analytics” at some point online. Unlike traditional data analysis methods, self-serve analytics equips everyone in your organization to explore data and take the right actions in real time. Choosing a good business intelligence tool.
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