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24 Essential Types of Charts for Data Visualization: Examples & Use Cases

Userpilot

Graphs and charts are a great way to display statistics and visualize data points. As we move deeper into the era of data, data visualization is even more important. It helps product managers motivate teams to action, impress stakeholders, and quickly derive actionable insights. A horizontal funnel chart.

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Your Guide to User Behavior Analytics (UBA) for SaaS

Userpilot

Collecting and interpreting user behavior analytics is crucial due to the extreme competitiveness in the SaaS space, which only continues to escalate. This guide will go over what user behavior analytics are, why they’re important, what you can track, and how to analyze user behavior. Why is user behavior analytics important?

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A Decade of Product Management

Melissa Perri

Not every company has seen all these changes, but by and large I think it's been a positive push forward and I'm proud of where we've come from and where we have gotten to. -- 2014: "I do not need Product Managers, I can run my company myself,I have the strategy." 2019: "Product reports to the CPO." What are your predictions?

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Connecting Data is a Team Sport

TIBCO - Thought Leadership

I recently teamed up with Austrian customer Raiffeisen Bank , Dutch partner Connected Data Group , and German partner QuinScape to deliver a webinar entitled “Next-Generation Data Virtualization Has Arrived.” We talked about Erik’s latest insights on the European data and analytics market as well as his fast-growing business.

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Concept Testing Examples and Methods for SaaS

Userpilot

TL;DR Concept testing evaluates an idea before it’s introduced to the market to gauge its potential success. Concept testing helps to build customer relationships, understand customer needs , and gather market research data to drive decision-making. Through concept testing, you gather tangible data from real users.

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Customer Retention Analytics – The Ultimate Guide

Userpilot

How much does your business stand to gain from using customer retention analytics? In this guide, we’ll provide step-by-step processes to generate hard, actionable data and clear strategies for making the most of your relationship with your customers. There are two kinds of customer retention analytics: periodic and retrospective.

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How to succeed in 2020: the most important insights from 8 recent market research studies

The Product Coalition

After all, when you know exactly what metrics are growing, what market leaders are betting on, how and what budgets are spent, what marketing solutions are chosen, what practices should be implemented and what to focus on in the near future, life becomes better. Marketers succeed in personalization in real time.