This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
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?
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.
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.
Speaker: Eric Feinstein, Professional Services Manager, Looker
For a long time, Product Managers have found it challenging to design interfaces inside their products that users could use for reporting. It seems like PMs and engineers have grown to hate embedded reporting. How to evaluate embedded analyticsolutions as strategy to greatly reduce initial and on-going engineering effort.
In the latest TPG Live session, Driving Impact Through Influence and Experimentation , we dived into strategies product managers can use to expand their influence, foster innovation, and navigate the evolving landscape of product management. Navigating Pushback Resistance to experimentation is a common challenge for product managers.
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.
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.
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.
Speaker: Megan Brown, Director, Data Literacy at Starbucks; Mariska Veenhof-Bulten, Business Intelligence Lead at bol.com; and Jennifer Wheeler, Director, IT Data and Analytics at Cardinal Health
Join data & analytics leaders from Starbucks, Cardinal Health, and bol.com for a webinar panel discussion on scaling data literacy skills across your organization with a clear strategy, a pragmatic roadmap, and executive buy-in. Unlocking enhanced levels of value and insight from data using a semantic layer.
I’m going to take a wild guess and assume that you already understand the importance of mobile in-app feedback tools. You also might be reading this post thinking: “Who’s adding new tools to their tech stack right now?” Do you have the right tools to capture that voice? Mobile in-app feedback tools & solutions.
Actionable Strategies for Strengthening Your PM Brand Developing your personal brand requires deliberate effort and a clear strategy. Be Consistent Across Platforms Your brand should be cohesive across various channels—whether it’s your LinkedIn profile, industry blogs, or internal communications.
Listen to the audio version of this article: [link] AI Strategy Benefits My research shows that AI can help you make better strategic decisions faster, at least for certain products. [1] 2] Market Research AI-based tools can discover user and customer trends using predictiveanalytics.
And not because AI itself is broken, but because companies keep treating it like a science project instead of a tool that actually needs to solve problems. Some common AI failurestories: The Data Hoarders : Companies that think collecting more data will somehow lead to an AI breakthrough.
Speaker: Dean Yao, Director of Marketing at Jinfonet
What's the next big trend in analyticssoftware and applications? You've probably used it without even knowing: embedded reporting and analytics. They also want to provide what their users ask for: reporting and analytics from within the context of the applications they are already using.
In this post, were exploring the conversation we had in one of our Productside Stories episodes this season with Joeri Devisch , a veteran of product, technology, and transformation work at global companies. Joeri emphasizes that data and intuition are not oppositestheyre collaborators. Data + context = better decisions.
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.
Reveal Embedded Analytics For product owners, leveraging data is not just an advantageits a necessity. Product analytics empowers you to understand gaps in your offering and how users engage with your product. Both embedded analytics and product analytics are designed to help product owners in diverse ways.
While it may sound too good to be true, the reality is that you can achieve this by implementing an effective customer expansion strategy. In this article, you will explore why customer expansion matters for your SaaS growth, discover various customer expansion tactics, and learn how to embed them in successful expansion campaigns.
As a product or technology leader, you likely know there’s a tremendous value that can be gained from predictiveanalytics. Having insights about people, such as understanding purchase intent or pinpointing future inventory needs, gives products the ability to leverage that data and provide significant added value.
New research from Harvard Business Review AnalyticServices reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. In addition, many don’t have the strategies, talent, and culture needed to succeed.
Jordan is a Management level, revenue-driven, B2B SaaS Product Management and Project Management leader. He translates complex business problems into solutions that are easily consumed by engineering, marketing and sales. Paul Hurwitz Director of Active Analytics, ActiveHealth Management.
We covered how to manage messy opportunity solution trees , the most common challenges teams face when getting started with the discovery habits, what Im working on next, and so much more. I started my career as a software engineer. How are we building production-quality software? I think that was in 2004. What does that mean?
The objective is to receive feedback and prioritize it internally against (1) company objectives (2)customer pains/experience (3) Quarterly Product OKRs and ship out solutions. . A feedback loop is: part of a system in which some portion (or all) of the system’s output is used as input for future operations. Get 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.
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.
Throughout our conversation, we explore insights from their creative process that can be applied to product innovation and management. Analytics let Leah and Phillip see what aspects of their content viewers are engaging with most. How do you currently balance intuitive decision-making with data-driven approaches?
Let’s explore nine market-proven user onboarding strategies that transform curious first-timers into loyal advocates who stick around long-term. For example, let’s say your team is developing new project management software for small- to medium-sized businesses. Asana’s in-app onboarding flow. Frustrating, right?
Are you struggling to make sense of scattered user data? The right customer analyticsplatform 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.
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
Join this webinar panel for practical advice on how to build and foster a data literate, self-service analysis culture at scale using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.
What happens when you build a product or service around what you think potential customers want, only for them to buy something else? The solution seems obvious: improve your customer research process. What is customer research in SaaS? For starters, it shows you dont know your customers well enough. The short answer: yes.
In a fast-paced industry like SaaS, leveraging business analytics effectively can be the key to staying competitive and driving product growth. Business analytics offers invaluable insights that help SaaS companies optimize operations, enhance customer experiences, and make data-driven decisions.
Journey Into the World of Strategy. The notion of a strategy in product management seems like something that only high-level stakeholders at the executive level should care about. After all, many product managers tend to treat a strategy as something that’s scared and driven top-down from the executive management level.
When Jane, a seasoned product manager, started her new role at a fast-growing SaaS company, she was ready to make an impact. With the right strategies, you can hit the ground running, build trust, and leverage your expertise to thrive in your new role. Pro Tip: Pair your quick wins with data. The good news?
Written by Mixpanel’s Director of AnalyticsStrategy, Fatih Koca, get the tools, insights, and framework top companies use to define their product metrics. Tracking the right metrics is crucial to innovating your products and growing your business.
Which product feedback software should you choose for your SaaS? 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.
Creating a solid app is only half the battle won. Without measuring and aggressively improving the right mobile app metrics, youll struggle to stay afloat. Most apps experience 89.3%-98.7% churn within 30 days, and in-app purchase conversion rates are often below 5% for the small number of users who remain.
In this episode of Productside Stories, Neha Bansal , Head of Product at Meta Ads Manager Reporting, joins Nicole Tieche to discuss her career, the high-speed role of AI in advertising, and how PMs can stay ahead of industry shifts. Stepping into product leadership means balancing strategic vision, customer focus, and emerging tech.
It requires meaningful collaboration between researchers and data scientists. It requires thought and intentionality around how we store, handle, interpret, and leverage vast quantities of qualitative and quantitative data. And it requires answering the right questions using insights and evidence.
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and dataanalytics are set to play pivotal roles in shaping success. Understanding these trends is not only essential to staying ahead of the curve, but critical for those striving to remain competitive and innovative in an increasingly data-driven world.
Unfortunately, “If you build it, they will come” does not hold true when it comes to the mobile app launch. This famous line from Field of Dreams is all too representative of how many app publishers face the ‘inessentiality’ of mobile marketing. They focus all of their time and resources on building a great app. It’s marketing.
SaaS: 85%95%. SaaS companies typically rely on subscription models so CRR is expected to behigh. Established customer relationships and financial product stickiness (customers typically avoid switching to other finance service) lead to high retention rates. SaaS companies typically use monthly or annual retention.
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.
We started in episode 307 with an introduction to the body of knowledge, explored strategy in episode 309, portfolio management in 311, development process in 313, and now we are discussing Design & Development Tools. These are tools that are used in a product process to move from idea to market-ready product.
We organize all of the trending information in your field so you don't have to. Join 96,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content