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
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. Key steps to build and improve your product analytics strategy. How to apply actionable metrics to different SaaS business stages. What is product analytics?
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.
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 separates a good app from a great one? It’s what you do with the behavior data your app collects. I mean what happens after the download: how users navigate, what features they engage with, and where they drop off. All questions you can only answer with: Mobile app tracking. What is mobile app tracking?
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. The Lessons from Failed AI Initiatives If youve ever sat through a meeting where someone excitedly suggests Lets use AI! So, lets talk about how to getthere.
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.
Start by creating onboarding flows that are as unique as your users. Focus your attention on their painpoints , needs, and desires. Use welcome surveys to identify users’ jobs to be done and use cases. Determine user roles to tailor their experiences. Finally, recreate the relevant path for new users.
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?
Customer support is more business-critical than ever. But in today’s fast-paced world, your customer support can only be as effective as the technology that underpins it. Study after study shows that the vast majority of support teams are unhappy with their current customer support tech stacks. Is your tech stack ready?
I’m disappointed to see the rise of generative AI tools that are designed to replace discovery with real humans. But when we use generative AI to replace customer interviews , to generate opportunity solution trees , or to do our thinking for us, we fundamentally misunderstand the purpose of discovery. Don’t get me wrong.
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? This both shortens the sales process and enhances the customer experience. This results in faster Aha!
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.
Regular touch points with customers are a pillar of continuous discovery. If you’re not regularly talking directly with your customers, you increase your risk of building a product that no one wants or needs. Regular touch points with customers are a pillar of continuous discovery. Tweet This. Tweet This.
Left unaddressed, customer communication painpoints can cause dissatisfaction and eventual churn. We cover: Types of customerpainpoints. How to identify customerpainpoints. Six common customerpainpoints. In-app support strategies to eliminate them.
How product managers can understand their customers better than anyone else. If you have listened to me before, there is a good chance you’ve heard me say we need to fall in love with the customer’s problem, not our solution. Getting enamored with our solution can distract us from the customer experience.
Looking for the best customer success management software to power up your product growth strategy, but you are overwhelmed with so many options in the market? TL;DR Customer success software refers to tools that help manage customer experiences and drive customers toward their desired outcomes.
A customer feedback repository is the place you keep all your feedback data. What is a customer feedback repository? A feedback repository is a central location where product teams can collect and organize customer feedback. Gathering customer feedback is crucial for creating successful products.
Are you on the lookout for tools that can help you improve customer retention ? There are quite a few solutions around, so it might be difficult to find, especially as we’re not talking about one specific set of tools but rather a whole range of different solutions covering a range of use cases.
The smartphone app has become the front line of financial competition. Any banking app that feels generic, uninspired or offers little real value is already lagging behind. Because todays users wont waittheres always a smarter, faster and more useful app waiting to take itsplace. Amazon reshaped retail with customerfocus.
In today’s competitive landscape, customer experience (CX) stands as a cornerstone of success, particularly in the financial services industry. In our digital world, it has never been easier for customers to switch banks, wealth and investment managers, or financial technologies. And listen!
Reveal Embedded Analytics Data-driven companies have a hidden advantage! Leaders across industries are recognizing this and moving fast to prioritize data democratizationensuring data is accessible to everyoneas a foundation of their SaaS development. How is this possible?
Looking for the best customer experience management software to fuel growth and drive product adoption ? This comprehensive guide breaks down the top 10 platforms, comparing features, pricing, and benefits to help you make an informed decision. Are you looking to map your customer journey for marketing automation purposes?
Most SaaS companies understand the value of user feedback , but few actually have a system in place to collect feedback and customer data. Other businesses spend a small fortune on focus groups only to end up with zero actionable feedback and insufficient analytics to make data-driven decisions.
Customer interviews are one of the most impactful activities a product team can do. Customer interviews are one of the most impactful activities a product team can do. Tweet This An early customer interviewing mistake is to spend your interview time exploring your solution ideas. But only if we use the right methods.
Looking for customeranalytics use cases that can significantly improve your SaaS? This article lists key use cases for SaaS and explains how to implement them to unlock customer satisfaction and product growth. We also cover: Customeranalytics categories. Identify friction and remove it.
It’s an organizational issue—moving quickly to beat competitors and keep up with changing customer preferences. When companies take the time to design products that match what the customer needs, profits soar, customer satisfaction (and retention) soars, and employee satisfaction gets a nice uptick too.
Interested in customer segmentation analytics but don’t know where to start? We also cover: The benefits of customer segmentation analysis. Best segmentation and analyticstools. TL;DR Customer segmentation divides clients into groups with shared attributes for in-depth analysis and personalized experiences.
What if you could read your customers’ minds? While mind-reading might be out of reach, customer segmentation models are the next best thing. By understanding and grouping your customers based on their behaviors and preferences, you can create personalized experiences that actually engage customers.
It takes a fair bit of effort and time to keep up with the constant innovation in the product management software space. The tools are constantly evolving and changing their pricing plans, so it may be difficult to ensure that your product team is using the right tools and getting the best value for the money.
“We’re not competitor-obsessed, we’re customer-obsessed. We start with what the customer needs and we work backwards.” – Jeff Bezos, founder of Amazon. For product managers, the path to success—both on an individual level and for the company as a whole—depends on a deep understanding of their customers.
Interested in building a B2B customer journey map? At the very least, a journey map will help you easily analyze and make data-driven decisions to improve the user experience. It also helps align your teams by ensuring everyone is on the same page regarding customer interactions. What is a customer journey map?
Artificial Intelligence is revolutionizing how SaaS product teams work by increasing efficiency and productivity, reducing costs, and most importantly, facilitating data-driven decision-making. In this article, we look at how you can use AI to gain in-depth customer insights and how to leverage them to improve the product.
How many financial apps do you have on your phone, and how often do you use them? Chances are the ones you frequently use have a simple, intuitive app onboarding process. If you’re a financial services product manager, you’ll know that crafting an effective fintech app onboarding process is no small feat.
Customer insights provide intelligence and analysis about customer experience, activities, and preferences. Therefore, they are vital for effective product strategies and ensure resource allocation aligns with customer needs. Purchase data to find conversion drivers that influence users to purchase a plan or upgrade.
The realization of simplicity is built on our belief in recognizing the interactions between multiple systems of an environment/ situation. Similarly, service designers are trained to navigate through complex systems of an environment/ situation by leveraging their system thinking capabilities. Let deep dive into 4 Ps.
The competition for customer attention in app stores is intense , to say the least. million apps on Google Play for Android users to choose from and 2 million on the Apple App Store for iOS users, user engagement is being pulled in a million directions (literally). What is app engagement?
How do you leverage product analytics marketing automation to boost customer acquisition, retention, and account expansion? TL;DR Product analytics marketing automation involves using product analytics to track product usage and customer behavior to develop automated marketing experiences.
Knowing what your customer does at different stages of their relationship with you can help increase engagement, loyalty, and customer retention. You can access this information through the right customer lifecycle management software. However, it’s not easy to pick a tool among the many suitable options in the market.
Great SaaScustomer support is the key to keeping your customers happy and satisfied with your product. It powers your customer relationships, enabling you to build lasting connections with customers. This article examines how to create an exceptional customer support strategy.
A self-service data platform is the backbone of informed decision-making and a growing SaaS business. But how do you choose the right data platform for product analytics ? Let’s go over what a data platform is, its importance, and the must-have features you should consider to choose the right platform for you.
If you really want to build a product your users love, removing userfriction entirely is not the answer. If frictionpoints were universally bad, no product would have security checks, confirmation dialogs, or multi-step workflows. Such critical steps prevent users from making irreversible decisions.
This includes the SaaS industry too. From marketing to product management and customer success, AI is improving productivity, helping teams make better decisions, and improving customer experience. In this article, we explain: Why investing in AI in SaaS is a must. What AI tools you can use. Let’s get to it!
I realize that many product people have never worked in a product trio , don’t have access to customers, aren’t given time to test their ideas, and are working in what Marty Cagan calls “features teams” or “delivery teams.” It keeps us focused and ensures that we create value for the business while meetingcustomer needs.
What’s digital analytics? How can it help product and marketing teams make data-driven decisions and improve the user experience at different stages of the customer journey? TL;DR Digital analytics allows teams to measure and analyze product performance to improve their digital strategy. What is digital analytics?
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