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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? Why Listen to This Episode?
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.
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?
Most product teams get mobile appanalytics wrong. They track 47 different key performance indicators (KPIs) in their mobile analyticsplatform , spend hours debating dashboard numbers, yet can’t predict which users will churn next week The problem here isn’t a lack of data.
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.
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. Leverage Data: Use findings to guide decisions, reduce uncertainty, and inform future product iterations.
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.
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.
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. In this webinar, you will learn about: Launching data literacy programs and building business cases.
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. But if you ask me, theres simply no one-size-fits-all solution. What works for a startup might not scale for an enterprise.
What separates a good app from a great one? It’s what you do with the behavior data your app collects. And by behavior data, I dont mean installs (thats the easy part). All questions you can only answer with: Mobile app tracking. All questions you can only answer with: Mobile app tracking.
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.
Be Consistent Across Platforms Your brand should be cohesive across various channels—whether it’s your LinkedIn profile, industry blogs, or internal communications. For example, if your brand centers around being a data-driven decision-maker, ensure that your communications emphasize this.
Speaker: Andrew Wynn, Senior Product Manager, Looker
As a product manager, you know how helpful custom tailored datasolutions can be to doing your job well. But proper dataanalyticssolutions take work to deliver - it's not as simple as just building a dashboard. Learn product analytics best practices from Andrew Wynn, Product Manager at Looker.
When your company adopts multiple SaaSsolutions 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 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.
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.
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.
Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale
Data and analytics leaders across industries can benefit from leveraging multiple types of diverse external data for making smarter business decisions. Data and analytics specialists from AWS Data Exchange and AtScale will walk through exactly how to blend and operationalize these diverse data external and internal sources.
How product managers can use AI to get more actionable insights from qualitative data Today we are talking about using qualitative data to drive our work in product and consequently improve sales. Before founding Viable, he held senior leadership roles in engineering, technology, and product.
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?
Nearly 60% of mobile teams still rely on self-hosted push tools. They trade short-term savings for long-term pain: no analytics, poor timing control, and zero personalization. If youre serious about building a mobile app, you cant afford to make such costly mistakes. One swipe, and your user is back in the app.
Tracking user behavior analytics in mobile apps is a whole different challenge compared to the web. Without a global DOM or easy auto-capture tools, tracking mobile app user behavior takes more planning. And the behavioral data you do collect depends on what you choose to track and how you track it. Not so much.
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.
1] Below are four examples of how this can be achieved. Note that Ive decided not to state the names of the tools I found, partly as the AI landscape is changing rapidly and partly as you should research and select the tools that work best in your context rather than trusting my judgment. [2]
Your app experience makes or breaks user loyalty: the slightest improvement can boost retention and revenue. With Userpilots mobile solution , you can personalize in-app flows, trigger context-aware push notifications, and capture real-time insights: all without writing a single line of code.
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.
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 example, 71% of customers now expect far more personalization than before.
Throughout our conversation, we explore insights from their creative process that can be applied to product innovation and management. For example, a recent video called “When they cancel plans but you’re both introverts,” was inspired by Leah and Phillip’s introvertedness.
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. This metric helps SaaS companies track the effectiveness of their expansion efforts. What is a customer expansion strategy?
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.
90% of the world’s data has been created in the past 2 years, and businesses spend more than $180 billion annually on big dataanalytics. Since our first ancestors began writing on parchment, data has been an integral part of the human experience. What is big dataanalytics? But how is it used?
Gamification onboarding and the right user onboarding software can turn your product experience into something enjoyable. To help you get started, we’ve compiled 11 powerful gamification examples to improve your user onboarding process. Below’s an example from Airtable. Example of leveling up. Source: Todoist. #6.
An interactive demo is a self-guided walkthrough that uses tooltips, modals, hotspots, and other interactive elements to help users quickly explore your SaaS product. Why build interactive demos for your SaaS product? What is an interactive product demo? This results in faster Aha!
When it comes to continuous discovery , there’s no such thing as “the perfect tool.” Instead of seeking the best tool out there, it’s much more effective to look for the best tool for your team. Teresa often says, “The best tool is the one that your team will use.” Today, we’re taking a slightly different approach.
User experience can make or break a web app. If your software is slow or buggy, users wont stick around for long. Thats where real user monitoring tools come inthey provide real-time insights into how users engage with the app , helping you detect performance issues before they impact your bottom line.
With the right release notes template, you can transform your software updates from snooze-fests into engaging content that keeps your users in the loop. Here are the most common types of release notes: Software release notes : These documents summarize changes made in a new software release. What are release notes?
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.
If youve recently launched a mobile app and want to increase app users, its going to be an uphill battle. Because most mobile apps lose 77% of their users within 3 days! Its about building a repeatable system that drives discovery, boosts engagement, and keeps users coming back. Here’s how to build that system: 1.
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.
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.
From new UX-related technologies and automation to personalization. Well start with an overview and explore how AI can take on tasks such as analyzing user data and automated prototyping to help professionals connect with users on a humanlevel. This fast-paced testing accelerates design cycles and helps refine products in lesstime.
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.
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