Userpilot
OCTOBER 31, 2024
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?
Alchemer Mobile
NOVEMBER 10, 2022
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.
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Productside
DECEMBER 4, 2024
This week on Productside Stories, host Rina Alexin sits down with Abner Rosales , Senior Director of Product Management Analytics at Experian. Abner shares real-world examples of navigating failures, spotting unvalidated solutions, and prioritizing effectively on roadmaps to stay ahead of the curve.
Product Talk
SEPTEMBER 20, 2023
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.
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As the value of modern in-app analytics becomes clearer, more companies are making analytics a priority before it becomes a problem. The longer you wait to modernize your application’s analytics, the harder you’ll eventually feel the pain of lost customers and missed revenue. Download the eBook to get started today!
Userpilot
APRIL 30, 2025
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. But it doesnt have to be that way.
Piyanka Jain
MARCH 12, 2025
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.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?
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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.
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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.
Speaker: Ahmad Jubran, Cloud Product Innovation Consultant
Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. Join Ahmad Jubran, Cloud Product Innovation Consultant, and learn how to adapt your solutions for cloud models the right way. Interpret and make decisions from a cloud data analytics infrastructure.
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Embedding analytics in your application doesn’t have to be a one-step undertaking. Read more about how to simplify the deployment and scalability of your embedded analytics, along with important considerations for your: Environment Architecture: An embedded analytics architecture is very similar to a typical web architecture.
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While usage costs can be better managed for your internal BI use case, Snowflake costs skyrocket for SaaS providers because the need to deliver real-time, interactive analytics in a multi-tenant environment is always on. But their collective impact can add up to a budget-busting blizzard if not addressed.
Speaker: Richard Cheng, Associate Product Manager, Mark43
Tune in to this webinar to hear how Mark43 Product Manager Richard Cheng went about researching, prototyping, and iterating to deliver analytics and business intelligence tools to police departments, emergency call centers, and other public safety agencies, bringing Mark43 users a positive and effective product experience.
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.
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