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12 Best Customer Insight Tools for SaaS Companies in 2024

Userpilot

If so, you need to invest in the right customer insight tools. These tools are perfect for providing valuable customer insights to make product improvements and optimize your customer experience. Businesses collect customer insights through data monitoring, surveys , interviews, support interactions , and social media.

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14 Best Behavior Analytics Tools For Tracking User Activity

Userpilot

By analyzing user behavior patterns and uncovering valuable insights, behavior analytics tools enable businesses to design strategies that drive retention and business growth. Discover the cutting-edge of behavioral analytics tools! There are different types of behavioral analytics tools used in SaaS.

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Customer Sentiment Dashboard: Definition & Examples

Userpilot

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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Free vs Paid Analytics Platforms: How to Choose One (+ Best Tools in Each Category)

Userpilot

Analytics tools offer a competitive advantage for companies investing in prolonged product growth. However, not all companies can invest precious resources in an analytics tool. In reality, some companies are better served using free vs paid analytics platforms. There are different types of analytics tools.

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How King Crushes New Product Development using Data-Driven Insights

Speaker: Ian Thompson, Head of Business Intelligence at King, and Zara Wells, Strategic Customer Success Manager at Looker

Product Managers looking to leverage data to make informed product design decisions can learn a lot from renowned gaming company King, maker of Candy Crush and many other games - even if their product has seemingly no overlap with games. The key is the strategy and tools for accessing product data at the level that you'd like.

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User Data Analytics: How to Gather Valuable Insights?

Userpilot

What are user data analytics? From this article, you’re going to find out about different types of user data analysis and how to develop a user data analytics strategy that will help your team make data-driven decisions to enhance customer and product experience. Why do they matter?

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Tools of the Trade: Visualizing Discovery with Opportunity Solution Trees

Product Talk

The opportunity solution tree helps visualize all the work that goes into continuous discovery. And while opportunity solution trees have become increasingly common among product teams, there’s still plenty of room for customization, both in the way you set up your trees and the tools you use to build them.

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Embedded Analytics, Everywhere

Speaker: Dean Yao, Director of Marketing at Jinfonet

What's the next big trend in analytics software and applications? You've probably used it without even knowing: embedded reporting and analytics. Software development teams more often now are embedding 3rd party analytics solutions into their products and applications to let them focus on other core areas of their software.

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Connecting Analytics to Strategy - Keeping Your Corporate Objective In Sight

Speaker: Tom Evans, Senior Principal Consultant and Trainer, 280 Group

Data analytics has transformed the way many product managers approach product enhancements, creating strong demand for product managers with skills and expertise in defining and analyzing product metrics to make more valuable product decisions. It’s easy to lose sight of how the product fits into the overall strategy.

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What We Learned From Our Own Data-Driven ABM Strategy

However, ABM practitioners have evolved the strategy from development to implementation. Instead of wading through a series of vague “how-to kick-start your ABM strategy!” ZoomInfo has created the following eBook to help other B2B organizations gain insights on how to launch their own data-driven ABM strategy.

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Post-Pandemic eCommerce Growth: Leverage Product Data, Market Research & Shopping Trends

Speaker: Phil Irvine, VP & Director of Audience Intelligence

The more personalized an organization can be with growth strategies and communications, the more likely engagement would increase and ultimately sales. To accomplish this, organizations have traditionally leaned into historical customer and product data to predict how to engage with their current and future customers in a personalized manner.

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The Forrester Wave™: AI/ML Platforms: Vendor Strategy, Market Presence, and Capabilities Overview

As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams. The Forrester Wave™ evaluates Leaders, Strong Performers, Contenders, and Challengers.

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The Beauty and Brains of Actionable Data: How to Go From Concept to Reality

Speaker: Dr. Joe Perez, Senior Systems Analyst at NC Dept. of Health & Human Services, and Chief Technology Officer at SolonTek

Do you have the vision to combine beauty with brains, thereby driving decisions with data? What value do you see in your data? Dr. Joe Perez will go over the five "Stages of the Spectrum" in action while discovering the difference between impact and influence, and how that difference plays into making data actionable.

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Feedback Frenzy: Restoring Customer and Internal Alignment for Product Success

Speaker: Evan Leong - CEO & Founder, Product Signals

Customer feedback is integral to effective problem management and product development for senior product professionals. How do industry leaders like Apple and Amazon successfully leverage customer and market insights to enhance their products, even with vast customer bases and extensive market data?

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The Product Dev Conundrum: To Build or Buy in a Digital World?

Speaker: Mark Ridley, Owner and Founder, Ridley Industries

In most cases, actually building software should be the last avenue that companies explore to deliver great products, as software engineering, data science and product development are complex, uncertain and hard to manage. What happens to the business if the product provider switches off the service that was bought?