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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?
Product managers are now expected to be not only customer-obsessed but also data-fluent. In this episode, Jenna Gaudio shares essential insights on how modern PMs must evolve their skillsets to handle massive data flows, navigate regulations, and responsibly craft intelligent product experiences.
Featuring an engaging discussion with Inis Hormann (Marketing Director Germany, Cepheid) and Steve Kury (Leadership Development Consultant, SHK Leadership Consulting), the session provided actionable insights for PMs at every level. Navigating Pushback Resistance to experimentation is a common challenge for product managers.
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.
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
Using a custom ChatGPT model combined with collaborative team workshops, product teams can rapidly move from initial customer insights to validated prototypes while incorporating strategic foresight and market analysis. By the time we launch, the market may have moved on from the problem we originally set out to solve.
While “use data to drive decision-making” sounds obvious, there’s a HUGE gap between saying it and doing it well. So, how do you get started with product analytics ? In this article, we’ll talk about: What product analytics is and why you need a solid strategy. What is product analytics?
You can gather all the user feedback or behavioral data you want or even generate tons of Google Analyticsreports. Despite all these efforts, you’re probably still not acting on product analytics correctly. Why actionable product analytics are important. This causes siloed data and integration issues.
This unique combination developed both her analytical thinking skills and her ability to question assumptions – capabilities that would later prove valuable in her product career. Over ten years, she rose through the ranks until everyone in the company reported to her.
The world of dataanalytics is changing fast as organizations look to gain competitive advantages through the application of timely data. Choosing the best solution for your dashboards and reports starts with understanding the types of analytics solutions on the market.
He shares practical insights from the Product Development and Management Association (PDMA) framework and explains how product managers can use these principles to improve their product development process. Portfolio Management During our conversation, Jack shares valuable insights from managing product portfolios at Sony Ericsson.
The core focus of these activities is on thorough market research, continuous customer engagement, and strategic product development. This led him to research and identify 19 core activities specific to product management, with clear separation from product marketing, sales, and go-to-market functions.
How AI captures customer needs that human product managers miss Watch on YouTube TLDR In my recent conversation with Carmel Dibner from Applied Marketing Science, we explored how artificial intelligence is transforming Voice of the Customer (VOC) research for product teams. However, these early efforts faced significant limitations.
How Do You Stay True to Your Product Vision While Adapting to Market Realities? Below is a preview of key insights. Run structured stakeholder sessions to ensure leadership, engineering, and marketing teams remain aligned. Make switching easier Allow parallel use with existing tools and automate data migration from competitors.
Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.
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?
How to plan a dashboard people will use: 10 Key Steps Dashboard user interface elements in light and dark modes Our team has built dashboards for a wide range of businesses, and we’ve picked up a few key insights along the way. A truly functional dashboard is always the result of collaboration.
As product managers, we often focus on the development and success of the products we bring to market. For example, if your brand centers around being a data-driven decision-maker, ensure that your communications emphasize this. Share case studies, write posts that highlight your analytical approach, and offer insights backed by data.
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.
Fact: Only 8% of sales and marketing professionals say their data is between 91% - 100% accurate. In 2019, DiscoverOrg commissioned Forrester Consulting to evaluate sales and marketing intelligence practices in the B2B space. of companies achieved a score indicating maturity in data management practices in the space.".
Let’s review everything your customer success team has to do in the absence of any customer success tools. Collect customer data to calculate complex formulas for tracking metrics, monitor customer health scores, and resolve support tickets while continuously trying to improve retention and expansion.
Introduction to customer satisfaction surveys Customer satisfaction surveys are vital tools for understanding what customers think, feel, and experience. Surveys provide a range of insights, from quick feedback after a purchase to in-depth assessments of brand loyalty. Don’t worry, we’ve got you.
You see, although we work hard to make Userpilot the best product adoption tool on the market, we know it isnt the perfect fit for every business. Robust resource center functionalities for offering self-service help. Custom dashboards to track key metrics at a glance. for collecting user sentiment data.
James shares insights from his research studying companies that consistently launch successful products. James shares that many teams are now working with their second or third generation of AI tools, particularly in sales and marketing. Building the Right Culture Culture plays a vital role in launch success.
Data normalization. It’s not a far stretch to suggest that the topic isn’t exactly what gets marketers excited in their day-to-day workflow. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. Why is this so essential?
How product managers are transforming innovation with AI tools Watch on YouTube TLDR In this deep dive into AI’s impact on product innovation and management, former PayPal Senior Director of Innovation Mike Todasco shares insights on how AI tools are revolutionizing product development.
Proactive Problem Solving Doug was motivated to write Proactive Problem Solving by two pieces of data showing the impact of reactive problem solving: The average manager wastes 3.5 These principles aren’t just theoretical – they’re practical tools that any product team can implement to enhance their innovation process.
90% of executives say they prefer visual storytelling over dense reports. Its a technique borrowed from the world of film and designbut it might just be the most underrated tool in a product managers toolbox. Customers dont care about data structures. Execs dont care about architecture diagrams. They care about impact.
Reveal Embedded Analytics For SaaS companies, user growth should accelerate success, not burden your analytics infrastructure. Yet for many SaaS leaders, BI costs surge faster than customer acquisition, and legacy systems struggle to cope with growing data volumes and concurrent user demands. The result? You’re not alone.
47% of marketers said they have a database management strategy in place, but there is room for significant improvement. Marketing and sales teams are feeling pressured to deliver authentic messaging to buyers at every point of their customer journey. New tactics to acquire data to reach marketing goals.
Atif brings valuable insights from a recent PDMA executive workshop where leaders discussed their real-world challenges with strategic decision making and innovation strategy. In this episode, he shares some insights from that workshop and his experience in product leadership.
In our latest Alchemer Connect-focused webinar, Rosie Davenport, Director of Product Marketing at Alchemer, sat down with Justin Falk, Product Manager for Integrations and API, to showcase one of the most critical parts of modern customer experience: connecting and automating your feedback data across systems. The result? No dev team.
Most product teams get mobile app analytics wrong. They track 47 different key performance indicators (KPIs) in their mobile analytics platform , spend hours debating dashboard numbers, yet can’t predict which users will churn next week The problem here isn’t a lack of data.
When you’re building a mobile product , data is your lifeline. Whether for tracking feature adoption or spotting drop-off points, the right analyticstool can make or break your growth. Some tools are great for marketers, and others are for product or development teams.
Speaker: Richard Cheng, Associate Product Manager, Mark43
Mark43 is on a mission to bring public safety data management into the 21st century. To fix traditionally paper-heavy and error-prone processes, they needed a secure and easy-to-use product experience that simplified and unified crime data collection and management. How efficient intelligence and analytics will benefit your users.
Reveal Embedded Analytics We know how difficult it is to create dashboards, especially for web applications. However, running business operations or targeted campaigns without insights into their effectiveness is not an option. Thats what dashboards are for. It offers several options when it comes to dashboard libraries.
How an AI-powered fashion startup achieved product-market fit Watch on YouTube TLDR In this episode, we’re joined by Anya Cheng, former product leader at Meta, eBay, McDonald’s, and Target, and current founder of the AI-powered fashion startup Taelor. This led her to explore whether others faced similar challenges.
Reveal Embedded AnalyticsData-driven companies have a hidden advantage! Theyve consistently outperformed their counterparts, reporting significantly higher metrics across operational efficiency (81% vs. 58%) , revenue growth (77% vs. 61%), and employee satisfaction (68% vs. 39%). How is this possible?
The choice is tough because there’s no single tool that covers all use cases. What’s worse, you will find multiple tools in each category, making it incredibly difficult to pick the tool that satisfies your needs and offers the best value for money. Which product feedback software should you choose for your SaaS?
In our 24-criterion evaluation of B2B marketingdata providers, we identified the 11 most significant vendors — Data Axle, Dun & Bradstreet, Enlyft, Global Database, InsideView, Leadspace, Oracle, SMARTe, Spiceworks Ziff Davis, TechTarget, and ZoomInfo Technologies — and researched, analyzed, and scored them.
In 2006, British mathematician Clive Humby made the infamous statement: Data is the new oil. Like oil, raw data needs to be refined, processed and turned into something useful because its value lies in its potential. Unfortunately, most people have yet to understand what it truly means to use data. moment that makes users stick.
Are you struggling to make sense of scattered user data? The right customer analytics platform helps you uncover exactly how customers interact with your product: so you can spot issues early, optimize user journeys, and drive sustainable growth. Choose the best fit for your needs and transform data into actionable strategies.
The market doesnt need another AI gimmick. Its a tool. And tools only work when you know what youre building. The obsession with appearances has two big downsides: Buzzword, without strategy: Instead of focusing on how AI can actually enhance their business, startups are treating it like a marketing gimmick.
How Companies Are Funding User Research in 2025: Insights from the User Interviews Research Budget Report User Interviews 2025 Research Budget Report is a crucial resource for understanding how modern organizations are approaching the financial side of user research. Only 17% experienced reductions.
But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.
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