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This week on Productside Stories, host Rina Alexin sits down with Abner Rosales , Senior Director of Product Management Analytics at Experian. Making Smart, Data-Driven Decisions Decision-making can make or break your product, especially when data is involved. Why Listen to This Episode?
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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?
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Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise. Master the balance between analytics and action.
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The path from IC to Chief Product Officer isn’t just about gaining more responsibility it’s about transforming how you think about product development, team leadership, and business strategy. Over ten years, she rose through the ranks until everyone in the company reported to her.
Tips for managing global innovation projects Watch on YouTube TLDR In this episode of Product Mastery Now, I speak with Jack Hsieh about successful product development strategies. Portfolio Management During our conversation, Jack shares valuable insights from managing product portfolios at Sony Ericsson.
Speaker: Eric Feinstein, Professional Services Manager, Looker
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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.
Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value.
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That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.
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. Its a strategy for getting things done. They care about impact.
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.
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.
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As B2B companies pivot to keep pace with a quickly changing marketplace, a data-centric approach to lead generation can be the difference between remaining competitive or being left behind. In this whitepaper, you’ll see real-world examples from leading B2B businesses and learn new ways of using data to: Improve lead quality.
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