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. Why Listen to This Episode?
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.
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.
Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.
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.
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.
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.
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. Itll be the ones who know how to separate hype from reality, focusing on pragmatic AIAI that works, delivers value, and integrates seamlessly into business processes.
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.
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). I mean what happens after the download: how users navigate, what features they engage with, and where they drop off.
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?
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.
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 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.
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. What I like about this language is it helps us evaluate how balanced we are in our approach.
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.
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.
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.
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.
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. How to calculate customer expansion revenue? This metric helps SaaS companies track the effectiveness of their expansion efforts.
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.
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.
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.
Speaker: Miles Robinson, Agile and Management Consultant, Motivational Speaker
So you want to set your product apart with the latest analytics, but you’re not sure where to start. How do you know what your customers want? And how can you make sure that you’re solving their problems? You’ll leave with a better understanding of where to begin on creating actionable, insightfuldashboards.
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.
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? Here’s how: Conduct internal interviews : Talk to your sales team, customer success managers, and product team members.
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.
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] 2] Market Research AI-based tools can discover user and customer trends using predictiveanalytics.
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.
Put simply, we craft smart products that transform mundane shopping experiences into personalized adventures, like suggesting the perfect pair of sneakers based on your unique sports styleall thanks to Predictive Analysis. So, how does everything unfold? Curious to learn more? Keepreading!
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.
Before building a product tour, I like to ask one simple question: Will this improve the in-app experience ? In others, users just need clearer in-app guidance at the right moments. How to choose product tour UI elements? It’s a simple, low-friction way to improve the in-app experience. If it doesn’t, skip it.
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.
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.
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. But how is it used? What is big dataanalytics?
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.
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. How to solve this issue?
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.
Speaker: Laura Klein, Principal at Users Know and Author of UX for Lean Startups
That's why Laura Klein, product manager and UX designer, has a set of tips to help application teams improve their embedded dashboards and reports. You'll learn: How to develop products that boost your business's bottom line while dramatically improving customer experience.
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.
Reveal Embedded Analytics Introduction to Embedded Analytics in Angular and.NET Core Embedded analytics is no longer an optional featureits a necessity for modern applications. In 2025, users demand seamless access to real-time insights directly within the tools they use daily. Why is Embedded Analytics Essential?
When Jane, a seasoned product manager, started her new role at a fast-growing SaaS company, she was ready to make an impact. How to Get Started: Audit the Product Backlog: Pinpoint low-effort, high-value opportunities to drive quick results. Pro Tip: Pair your quick wins with data.
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.
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.
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