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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.
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.
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.
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. It’s cyclical.
The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. How do you differentiate one solution from the next? How do you differentiate one solution from the next? 4 common approaches to analytics for your application.
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.
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.
Nowadays, we all consume applications and platforms (software) over the web. Software installation” is quickly becoming an old concept, especially for end users. This is the world of Software-as-a-Service (SaaS). This is the world of Software-as-a-Service (SaaS). Marketing).
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.
Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.
Opportunity solution trees help product teams chart the best path to their desired outcome. Opportunity solution trees help product teams chart the best path to their desired outcome. – Tweet This In this article, we’ll cover what an opportunity solution tree is, the benefits of using one, how to create one, and so much more.
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.
Since then, she’s helped grow the Udemy’s B2B SaaS arm to more than 5,000 enterprise customers, which include the likes of Pinterest, Adidas, and General Mills. Turning a sales objection into a unique differentiator. Rather than shying away from the marketplace, she embraced it as Udemy for Business’ unique differentiator.
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.
Speaker: Josh Martin, Director of Product Marketing, Logi Analytics
Embedded analytics has evolved from an afterthought to a necessity. But most companies don’t realize that the features they embed and how they develop have a lasting impact on revenue, customer churn, and competitive differentiation. The state of embedded analytics in 2018 is in flux.
Are you a SaaS product manager in search of product differentiation examples to inspire your differentiation strategy? In this article, we’ll explore the types of product differentiation strategies and go over cases of real-world brands that have used these strategies to drive product growth.
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.
Every software application today is fighting for space in an increasingly crowded market, so software vendors need to differentiate their offerings with valuable features to avoid losing out to competitors. Why predictive analytics? Getting Started With Predictive Analytics.
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.
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?
If so, you need to invest in the right customer insight tools. These tools are perfect for providing valuable customer insights to make product improvements and optimize your customer experience. Amplitude offers deep user interaction insights and advanced analytics to enhance customer engagement. Read on to learn more.
The choice of user retention tools and software available to SaaS businesses is completely overwhelming. This blog will explain the types of user retention tools & software so that you can take control. Well, maybe it’s due a revival – this time as an unofficial mantra for the SaaS sector.
This includes the SaaS industry too. In this article, we explain: Why investing in AI in SaaS is a must. What AI tools you can use. TL;DR AI helps SaaS teams improve productivity by automating repetitive tasks. Use it to streamline the creation of emails, website copy, and app microcopy. Let’s get to it!
Are you searching the market to find the best churn management software for your SaaS company? Read on to learn how each tool can help you retain customers , the pros and cons for each, as well as pricing information. Features to look for in customer retention software: Analytics and tracking. Segmentation.
Experience building 0-1 products, platform/ecosystem products, or marketplaces. The Ads Platform team builds the advertising systems and integrations that power the delivery of ads using Netflixs world-class content delivery ecosystem. Those with experience in enterprise-level AI platforms.
Reveal Embedded Analytics. Easy to use and understand analytics is a crucial part of every modern SaaS application. In today’s digitalized and technology-oriented world, customers require much more than static data visualization or simple reporting. Table of contents: What is a legacy system?
Is your customer success platform up to scratch for 2022? SaaS is evolving and users today expect more value, more quickly, with less effort than ever before. If your customer engagement levels are not where they need to be, maybe it’s time to look at the customer success software you’re using again?
How can product analytics help product managers create better digital products and more satisfying user experiences? We finish with an overview of product analyticstools that your team can benefit from. We finish with an overview of product analyticstools that your team can benefit from. Want to check it out?
Heap and Google Analytics are popular product analyticstools that help businesses pursue product growth with data-driven insights. In this article, we’ll go through the main differences between both tools to help you understand which one is better for you. On G2, Heap and Google Analytics have ratings of 4.3
In 2019, industry-leading Business Intelligence (BI) tools, Looker and Tableau, were acquired by Google and Salesforce for over $18 billion combined. These massive deals show that BI tools and data warehouses are a powerful combo that companies across the globe are incorporating into their tech stacks. Analysis depth vs. breadth.
We also explore: Different types of product analysis The steps needed to analyze your product The tools you can use Let’s get right to it! You can use it to refine your marketing , differentiation , and pricing strategies. To carry out product analysis, you can use the data warehouse and BI tool combo.
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.
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.
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.
Looking for the best customer engagement tool for your SaaS company? There are plenty of solutions of customer engagement on review sites, but they don’t make the choice any easier. Instead, we decided to focus on customer engagement tools for in-app engagements in SaaS products. . Let’s dive in!
Product analytics can help you track changing user behavior for your app but here are some industry-wide changes that are influencing purchasing decisions in 2024. The former tracks trends for software users , while a consumer behavior trend mainly refers to online shopping, such as buy-now-pay-later payment methods.
Achieving our next leaps and continuing to define the future for product analytics will require the same hard work and handshakes that have gotten us this far. We see this as a massive opportunity for us in shaping the future of product analytics. Product analytics for the modern data stack. Being the best for our customers.
You might also be interested in Mobile app KPI dashboard examples and how to use them What is customer retention and why is it so important? You might also be interested in Measuring , analyzing, and reducing app churn Apple and Amazon are great examples of companies with great retention. What are the characteristics of a sticky app?
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.
This is especially true when trying to implement an in-app support infrastructure within your platform. However, this guide will show you how to measure customer experience in the fintech industry, make improvements, and pick the best tools for the job! What is the fintech customer experience?
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Consider these scenarios for a moment: Scenario 1 : Supermarket giant, Tesco launches a mobile app for customers. This initiative results in 900,000 app downloads in less than a year, a 130 percent boost in online sales, and a 76 percent increase in app usage. Scenario 3: Using futuristic technology can pay handsomely.
Our customers use our product intelligence platform to iterate quickly on big bets, and to stay ahead, they will need a platform that can instantly predict which features and campaigns are most likely to cause growth and make faster product bets without extensive A/B testing—they need predictive analytics with causal insights.
If a persona says no to both questions, users like her won’t care about this feature, even if you consider it your magnum opus or your product’s big differentiator. Our app is now integrated with [Maps App X]”? Or “We saw that you look at a lot of [Metro stations] when you use [Our App Name Here]. Sad but true.
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