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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?
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?
James shares insights from his research studying companies that consistently launch successful products. James shares that many teams are now working with their second or third generation of AI tools, particularly in sales and marketing. Creating Common Language James emphasizes the importance of vocabulary in cross-team work.
This unique combination developed both her analytical thinking skills and her ability to question assumptions – capabilities that would later prove valuable in her product career. Over ten years, she rose through the ranks until everyone in the company reported to her.
When your company adopts multiple SaaS solutions 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?
This post references out latest e-guide, CustomerFeedback is Everywhere: The Ultimate Guide to Omnichannel Feedback Collection . Organizations that rely on a single-channel feedback approach may overlook valuable insights. These missing insights are crucial for understanding customer needs and expectations.
A key ingredient to build a better product is customerfeedback. There are various ways to collect customerfeedback that include customer surveys through sales executives, feedback forms, focused interviews, etc. How to gather relevant data??—?This This is a topic for another article.
As you’re researching dashboardreportingtools, you’ve probably noticed how hard it is to find reliable information on the available solutions. TL;DR Dashboards display critical business data in real-time, streamlining decision-making and focusing on key metrics. Let’s dive in!
(Source: Freepik ) The most important role of a product manager is to truly understand the customers and their problems. Gaining a clear understanding of your customers’ needs, desires, preferences, and dislikes entails gathering detailed information. Understanding your customers is a goal. What is behavioral data?
If you are a SaaS company, the chances are you’ve come across the term “self-serve analytics” at some point online. Unlike traditional data analysis methods, self-serve analytics equips everyone in your organization to explore data and take the right actions in real time. Choosing a good business intelligence tool.
A self-servicedata 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.
Gaming data is one of the most valuable sources of information out there. . gamers’ weekly leisure time going to playing games as of 2018 — companies are sitting on treasure troves of insight. You need an analytics solution and data strategy that can help make that information useful. . What Is Gaming Analytics?
Last month we turned our attention to data – unleashing new features that help you improve how you collect, access, and use first-party data to influence your product and scale your business. Surveys: Now even more insightful and engaging. Gain deeper insights with advanced reporting for Surveys.
Experts predict the CustomerAnalytics market will top $24 billion by 2025. That growth is driven by a common difficulty facing many of today’s businesses—mountains of data and no way for non-technical people to make sense of it. That’s where CustomerAnalytics comes in. Who are my best customers?
But for mobile, youd want to invest in a solution that truly gets the job done, aka one that improves user engagement and retention. Whatfix Mobile is a Digital Adoption Platform (DAP) specifically designed to enhance the experience for users of native Android and iOS apps. moment faster. reducing compliance risks and support tickets.
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?
Do you sit at night wondering how your users interact with your product? You can get the answers you need simply from product management analyticstools. To help you know which tool to use, this article will cover the ten best product analyticstools. Do they like it? Are you confused about using it?
How can SaaS companies use self-serviceanalytics to gain the insights they need to drive product growth ? TL;DR Self-serviceanalyticstools enable non-technical product teams to access and analyze customerdata without dev or data scientist support. What is self-serviceanalytics?
As Marc Wendell described in a Product Mentor video, the foundation of success in both product management and user experience (UX) is solving a problem for a specific user. Products fall short when they include and/or over-prioritize extraneous features that don’t solve that user’s problem. Asking the wrong users for input.
The “shiny penny” approach (focus all your attention on the hottest tools in the market) or “head in the sand” approach (fall victim to analysis paralysis and avoid choosing any tools) are no longer viable. But here’s the thing: a tool is not a strategy. The anatomy of a marketing tech stack [with recommended tools].
We’ll provide insights and practical tips for product managers and leaders who want to improve their launch strategies. They make product leaders part of their service model. The LAUNCH framework, developed by James Whitman, helps organizations bring new products to market more effectively.
I gather data through surveys about observations. Lots of data goes into pinpointing. This holistic approach not only streamlines operations but also enhances the team's ability to deliver value to customers and stakeholders. I review strategies and roadmaps.
Marketing analyticstools are a product marketing manager’s best friend. In this article, we cover: What are marketing analyticstools and why they are essential for marketing teams and marketing agencies? Key features to look for when shopping around for marketing tools. Let’s get started.
The following content is from our new e-guide, CustomerFeedback in the Digital Era. Organizations of all types, from Fortune 500 brands to government agencies and school districts have all been going through Digital Transformation for decades. In a digital-first landscape how do different teams stay customer-obsessed?
It achieves this by using sprints to create product increments, collecting feedback from users and stakeholders, and adapting the product with the insights gained. [1] Otherwise, you might ask the wrong people for feedback on the increments and hence draw the wrong conclusions. But don’t stop there.
What are the best product analyticstools that PMs can use to gather product insights ? Well, this depends on your product, how established your SaaS business is, and what kind of insights you need. In the blog, we look at 4 well-known product analyticstools, their pros, cons, and most suitable applications.
Do you get nightmares wondering how users move through your funnel? But with so many tools in the market, which one should you choose for product analytics ? TL;DR Funnel tracking lets you track user activities across various user journeys. Google Analytics 4 is great for tracking marketing campaigns.
In SaaS, the top dataanalytics trends can either be a revolution or just fluff. So what are the trends in the dataanalytics landscape that are actually important for product management ?
Product data capture is essential for SaaS companies looking to understand user behavior, optimize user experiences, and drive product growth. From choosing the right data capture methods to navigating complex tools, SaaS companies must balance the need for detailed insights with the reality of technical constraints.
Which product analyticstools should you be using? How many analyticstools do you need? And what type of analytics really matters for a product marketing manager? By the end, you'll know the only type of analyticstools you really need as a PMM. What is product analytics?
We covered everything from features to pricing, along with insights from real users. Youll also see where WalkMe performs best and when another tool might be a better fit for mobile app engagement. It helps app owners guide new users, promote feature adoption , and deliver employee training, all within the mobile app experience.
When it comes to boosting your product growth , useranalyticstools can make your life a lot easier. These tools offer insights into what your users are doing inside your product and why they are doing it. But how do you know you’re picking the right tools? What is useranalytics?
Data is the engine for SaaS, but without dataanalyticstools , your SaaS team will not be able to make sense of the data. The right set of SaaS analyticstools can help you generate actionable insights that fuel strategic decisions. But how do you ensure you’re picking the right tools?
Product analytics sits at the intersection between your customer, your product, and your business goals. It’s a crucial part of how you provide continual value to customers, as well as how you grow your business. Product analytics keeps your team close to customer wants and needs throughout the product development process.
Product Intelligence software helps teams use their customerdata to build great product experiences. Product Intelligence is a response to these shifts—changes in how we interact with products, and how companies are competing to retain, delight, and engage customers. They lose customers. They: Connect to Customers.
Thanks to the abundance of tools out there, marketing has never been easier. In this article, we examine some tools that can help your SaaS team to drive product growth. We will also consider valuable examples of tools that can inspire your process. The best examples are Userpilot , Hotjar , and Google Analytics.
The road to better decision-making begins with enabling self-service access to data. When various team members have data in front of them, they can have informed conversations about the reality that the data represents. When good data gets into the hands of great people, companies can realize amazing business outcomes.
How to promote data democratization in your SaaS business to improve decision-making ? TL;DR Data democratization is the process of simplifying how data is stored and managed to help non-technical employees access it easily and make data-driven decisions. What is data democratization?
At some inflection point of growth, it becomes impossible to intuitively know your customers, let alone decide which ones to focus on. We could no longer assume all our customers had uniform needs and could be reached the same way. What is customer segmentation? This final assumption in particular was no longer true or useful.
Many organizations collect data, but not all effectively manage it throughout its lifecycle. And ad hoc data lifecycle management can cause problems for your product analytics. Well-organized data is essential for discovering actionable insights from product analytics. Plan and Instrument Your Data.
When you scale, uncertainty arises in the form of change – your market changes, your users’ needs change, and your organization changes. With that in mind, the most decisive tool you have when facing uncertainty is knowledge. The Data / Information / Knowledge Paradox (Drawn From the DIKW Pyramid ). Analytical.
TL;DR A business intelligence (BI) analyst is a data specialist who helps businesses translate raw data into actionable insights. According to Glassdoor data, the estimated total pay for a Business Intelligence Analyst in the United States is $134,912 per year, with a base salary of $99,503 and additional pay of $35,409.
From marketing to product management and customer success, AI is improving productivity, helping teams make better decisions, and improving customer experience. What AI tools you can use. There are also governance and ethical concerns, like data privacy or AI bias. AI analytics are coming soon.
Reveal Embedded Analytics. Businesses of all industries and all sizes incorporate embedded analytics technologies and capabilities into their own software, SaaS platforms, Angular apps , or other apps because of the tremendous benefits that they get. Banking : Deliver great benefits to customers and employees alike.
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