At Stormly, our goal is to help small businesses hold their own against the big players in the industry. These big guys often have the best people and the best resources. We made our tool to give the little guys a fighting chance, and its power and versatility hasn’t slipped past the notice of the bigger companies.
These large corporations often bump into issues when using ready-made solutions, like their inherent limitations. One big problem is the long onboarding process that fast-growing companies have to go through.
This means missing out on chances while new Product Managers get the hang of the tool. Plus, even with traditional data tools, Product Managers often struggle to figure out what and how to look for the answers they need. It’s hard to understand the results, and they often have to ask the data team for help. This all leads to a lot of wasted time.
So, we wanted to give Product Managers in big companies a tool that’s easy to use, quick to learn, but still packs a punch like the best data analysis tools out there.
With this mission in mind, we got started on the Feasibility Study, supported by Provincie Noord Holland.
Stormly, a trailblazer in the world of product analytics, is at the forefront of utilizing the newest user interface paradigm that Nielsen Norma group has deemed a revolutionary shift in computing history. This shift, called “Intent-Based Outcome Specification”, is driven by advanced Artificial Intelligence systems, such as OpenAI’s GPT-4, and is paving the way for a new interaction model, where users specify their desired outcomes instead of specifying each step for the computer to follow.
Stormly and Chat GPT-4 Integration: A Game-Changer Set to Transform the Product Management Landscape
Stormly’s innovative approach empowers product managers to not only understand the data better but also to make informed decisions tailored to their product’s specific needs. Today, we’re excited to announce the groundbreaking integration between Stormly and Chat GPT-4, a leading AI technology. This powerful alliance promises to revolutionize the product analytics industry, making data analysis more intuitive and actionable than ever before. By fusing Stormly’s robust analytics capabilities with Chat GPT-4’s advanced AI-driven insights, we have created a unique product analytics tool that feels like having a personal AI-powered product manager by your side.
In today’s competitive digital landscape, product managers are constantly seeking new ways to improve their products and create a seamless user experience. Traditional A/B testing and user journey analysis are well-known techniques used to optimize product performance. However, these methods may not be sufficient to truly understand the complexities of user behavior and data challenges. This article explores the importance of the aha moment metric and how Stormly is revolutionizing the way companies approach product data experimentation.
Why Stormly is the best product analytics for e-commerce and how it's different than Mixpanel or Amplitude
When it comes to driving e-commerce success, nothing is more important than making sure you have the right infrastructure and tools in place. Without a reliable system that offers insights into customer behaviour and market trends, it’s impossible to keep up with your competitors. Stormly provides great value for webshop product managers looking to get an edge over other businesses by allowing them to analyze their customer data quickly and efficiently. While Amplitude or Mixpanel boast similar capabilities, we believe that Stormly brings something extra when it comes to understanding user behaviour in the digital landscape — features superior analytics power that make predicting future performance easier than ever before. In this blog post, we’ll discuss why Stormly is an ideal choice for those seeking an effective way of improving their e-commerce store’s performance compared to its competition!
Product managers - how would you like a tool to help you leverage greater accuracy in your product usage metrics?
With more accurate product usage metrics, it’s possible to gain unprecedented insight into user behavior and keep track of performance trends.
Wouldn’t it be great if there was an easier way to make sure that the insights gleaned from these metrics were valid and could lead to effective decision making processes?
Well now there is - with relative event filtering at Stormly, getting pinpoint accuracy in product usage stats just got a lot simpler. Read on as we explore this exciting development and what it might mean for you!
As a product manager, you have to juggle many balls at once - working with both your engineering team and your stakeholders to make sure the right features are getting built into your product. So which tool should you use to help you manage this process effectively? Stormly or Heap? In this blog post, we’ll compare the two tools so that you can make an informed decision about which one is best for your team.
So you’re a product manager and you need to start doing some product analytics. You’ve heard good things about both Stormly and Looker, but you’re not sure which one is the right tool for you. This can be a tough decision, but don’t worry, we’re here to help. In this blog post, we’ll compare and contrast Stormly and Looker, so that you can decide which one is the best tool for your needs.
Which tool is better for Product Analytics? Stormly or Google Analytics? This can be a difficult question to answer, especially since both tools offer a lot of features and benefits. In order to make the best decision for your business, you need to understand the pros and cons of each tool. In this blog post, we will compare Stormly and Google Analytics and help you decide which tool is right for your product analytics needs. Stay tuned!
Data is the lifeblood of any successful product manager. You can’t make informed decisions without tracking and analyzing how your products are performing, but which tool should you use? Choose Stormly or Tableau to organize all that data into something useful for yourself! Here’s a comparison between these two products so we’ll have more information on what each offers.
If you’re a product manager, then you know that data is essential to your success. You need to be able to track and analyze how your products are performing in order to make informed decisions about how to improve them. So which tool should you use for product analytics? Stormly or Power BI? Here’s a comparison of the two tools so you can decide for yourself.
Are you looking for a better way to understand how your users are using your product? Or, are you trying to track user engagement and growth? If so, then you’re probably wondering if Stormly or Amplitude is the right tool for you. In this blog post, we’ll compare and contrast both tools, so that you can decide which product analytics is better for your needs. Stay tuned!
Choosing the right product analytics can be the difference between success and failure for your product. With so many options available, it can be difficult to decide which one is best for you. In this post, we’ll compare Stormly and Mixpanel to help you make a decision. Both Stormly and Mixpanel are popular choices among product managers, but they have different strengths and weaknesses. Let’s take a closer look at each one.
Which product analytics tool is best for you? That is a question that all product managers must ask themselves from time to time. In this blog post, we will be comparing and contrasting Stormly and Pendo – two of the most popular product analytics tools on the market. We will break down each tool’s features and help you decide which one is right for your team. Let’s get started!
Most product managers track various key performance indicators (KPIs) to measure the success of their product. But few focus on the aha-moment, that magical instant when users understand how your product works and what it can do for them. Why is the aha-moment so special? And how can you make sure your product delivers an amazing aha-moment experience for users? Read on to find out.
Do you ever feel like you’re not sure what to build next for your product? You’re not alone. Figuring out which features to prioritize can be a difficult task, especially when your data is telling you different things. In this blog post, we’ll explore how to use qualitative and quantitative data to optimize your product roadmap. We’ll also share some tips on how to make sure that your data-driven decision-making is effective. So, if you’re looking for guidance on what to build next, read on!
Are you looking for a better way to manage your product data? Stormly could be the tool for you. Stormly is a cloud-based platform that makes it easy to collect, organize, and analyze your product data. In this article, we’ll introduce you to the basics of using Stormly. We’ll cover how to create an account, run Insights, create Dashboards and generate reports. Ready to get started? Let’s go!
In the past, product managers have relied on code to track data and analytics. However, advances in artificial intelligence (AI) are making it possible to get all the same insights without any coding. This means that product managers can now focus on their products and user experience, rather than on data analysis. In this blog post, we will explore why no code approach to analytics is the future and how you can get started.
Anyone who has been paying attention to the news recently knows that a recession is on the horizon. While there is no way to know for sure when it will be at the highest point, there are ways to prepare your business for potential downturns. One of those ways is by using product analytics to predict how your business might be affected. In this blog post, we’ll explore how you can use product analytics to do just that. Stay ahead of the curve and recession-proof your product with the help of analytics!
Percentiles are critical for making more informed product decisions, based on the actual usage of large groups of users. By comparing percentiles of different segments and behavioral cohorts, we can identify positive and negative patterns in our data over time. This can allow us to anticipate how future values might change based on current or past trends and make adjustments as necessary. This is our second article from our series on using percentiles with product analytics. In this article, we’re going to dive deeper and show you how to forecast, discover trends and detect anomalies in percentiles based on product metrics.
Data analytics can be tricky, especially when the numbers are based on averages. In reality you might find that what’s happening in your product isn’t always reflected by averages, and conclusions may not always hold up to scrutiny! This is why Stormly has always provided more insightful aggregation metrics, such as median and histograms. This shows a more realistic distribution of metrics. For example, our Product Feature Analysis insight shows not only the average times a user interacted with a feature, but also a full distribution of that usage for each feature.
Google Analytics 4 has been released, and with it comes a lot of new features and changes. If you’re like many people, you might be considering making the switch from your current analytics platform to Google Analytics 4. But before you do, there are some things you should know. In this blog post, we’ll take a look at some of the pros and cons of using Google Analytics 4. We’ll also show you how to migrate your data over to the best alternative for Google Analytics, so that you can make an informed decision about whether or not to switch. So without further ado, let’s get started!
As anyone who has ever used Stormly knows, we are constantly striving to make our product better. Our team is always working on new ways to improve the user experience and make it easier for our customers to get the results they want. One of the ways we have done this is by making it easier to narrow down users in any report. For example, you can now ask questions like: give me all users that played a dance song of at least two minutes in length in the last 4 days. This change makes it much easier to get the specific results you are looking for, and we are confident that our users will find it to be a valuable addition to Stormly. Read on to know more about this unique feature!
As a product manager or marketing manager, you know that analytics are important. But what are the basic metrics you should always measure? In this blog post, we’ll break it down for you. We’ll also give you some tips on how to use these metrics to improve your products and marketing campaigns. So read on – your insights await!
It’s no secret that product managers need to track key metrics in order to gauge the success of their products. But what are some good ways to measure product feature retention? In this blog post, we’ll explore the best method you can use to measure how well your features are being retained by users. By understanding this metric, you can make better decisions about which features to keep and which ones to ditch. So read on for tips on how to measure product feature retention!
If you are a product manager, then you know that it is important to track your product’s analytics. This helps you figure out which items in your product lineup convert best with customers. In order to do this, you need to use the right tools and follow the right steps. In this blog post, we will discuss how to find out which items convert best with the use of product analytics. We will also provide tips on how to increase conversion rates for your products. So, if you want to learn more about this topic, keep reading!
If you’re like most product managers, you’re constantly juggling a million tasks and trying to find ways to automate or optimize your work. Well, we have some good news: Stormly’s newest feature can help you detect new segments or anomalies in your data as they arise. This means that you’ll be able to respond more quickly and effectively to changes in your customer behavior or product performance.
We are excited to announce the release of our unified funnel steps feature! This new feature allows you to see all of your funnel steps in one place, making it easier to track your progress and identify any areas that need improvement. This means that you can now take any number of events and combine them into a single funnel step. This allows you to get a true understanding of how your customers are interacting with your brand.
This week, we’re excited to announce a new feature at Stormly: the ability to format individual values on charts and tables. This is a great way to customize your data visualizations for greater clarity and insight. For example, you can now rename a funnel step or line chart series, and apply separate formatting to that value with its own prefix, formula, decimals, etc.
Anomaly detection is the process of identifying unusual or unexpected activities in data. Implementing anomaly detection can be a daunting task, but with the right tools it can be easy and relatively painless. In this post, we will explore some of the options for implementing anomaly detection and show how they can help you identify and troubleshoot problems in your data. We will also take a look at some of the challenges associated with detecting anomalies, and how to overcome them. So read on to learn more about how to implement anomaly detection!
The goal of any business is growth. Achieving this requires making accurate forecasts for what the future holds. Doing so isn’t easy for product managers though - predicting customer behavior is often an inexact science. However, there are various techniques that can help make forecasting a little less daunting. In this blog post, we’ll discuss some of the most effective methods for doing analytics forecasting. We’ll also look at examples from real-world businesses who have applied these techniques successfully. By reading this post, you will learn how to better understand your customers’ needs and wants, set achievable goals for your product, and more.
Segmentation is a critical process for all product managers. By dividing your users into groups, you can better understand and cater to their needs. In this guide, we’ll explore the different types of user segmentation, and show you how to apply them to your own products. So, whether you’re just starting out in product management or you’re looking for new ways to improve your user base, read on for everything you need to know about user segmentation!
As a product manager, you know that finding your product’s aha moment is key to its success. But how can you do that quickly and efficiently? In this post, we’ll share some tips on how to find your product’s aha moment fast. So read on and find out how you can make your product successful!
When it comes to product management, there are a few key roles that people tend to think of. These include the product manager, the product owner, and the UX designer. While all of these roles are important, there is a lot of confusion about the difference between the product manager and the product owner. In this post, we will explore the role of the product manager and explain what sets them apart from the product owner. We will also discuss why it is important for both roles to work together to create successful products.
As a product manager, you’re constantly working to keep users engaged with your product. But what does that really mean? And how can you make sure users remain hooked? In this blog post, we’ll explore what user engagement is and offer some tips on how to foster it. Stay tuned!
Your webshop data can tell you a lot about how your business is doing and what you should be focusing on. In this blog post, we’ll go over some product metrics that you should keep an eye on based on your webshop data. By tracking these, you’ll be able to make better decisions about which areas to focus on and improve your overall sales performance. So, let’s get started!
If you’re not familiar with analytics or don’t know how to get started, this can seem like a challenging task. But don’t worry - in this blog post, we’ll walk you through everything you need to know about getting started with product analytics.
As a product manager, it’s important to have a strong understanding of product analytics. This essential data can help you make better decisions about your products and their future. But what is product analytics, exactly? And more importantly, what can it do for your products? In this post, we’ll explore those questions and more. So read on to learn everything you need to know about product analytics!
Sales forecasting can seem daunting, but with the right tools and approach it can be easy and accurate. This blog post will walk you through the steps to forecast sales, using historical data and trend analysis. Armed with this information, you’ll be able to make sound decisions about your product’s future. Stay tuned for more tips on how to improve your forecasting skills!
Collecting product data is essential to understanding how your products are performing in the market. However, sorting through all of that data can be daunting. Here are some of the most important insights you can glean from your product data. By understanding these key findings, you can make more informed decisions about your products and their future success.
Data analysts are responsible for taking large amounts of data and turning it into useful information. This can be a challenging task, but using dashboards can make the process much easier. Dashboards also provide a quick, at-a-glance view of important data, which can help data analysts identify trends and patterns quickly. Read on to learn more!
What does it mean to have a successful product management strategy? And how can you ensure your products reach their full potential? In this post, we’ll explore the essentials of a successful product management strategy – from setting achievable goals, to creating an effective workflow. We’ll also offer tips and advice on how to overcome common challenges faced by product managers. So if you’re looking to take your products to the next level, read on for insights and inspiration!
No matter how much experience you have, transitioning into a new product manager role is always a challenge. The good news is that there are steps you can take to make the process easier and set yourself up for success. In this blog post, we’ll share four tips that will help new product managers settle into their role. Stay tuned for more insights on how to excel in your PM career!
In order to make effective product decisions, product managers need data. But simply having data is not enough. Product managers also need to be able to visualize that data in order to understand it and see trends. Data visualization tools can help them do this, and they are an essential part of any product manager’s toolkit. In this blog post, we will explore why data visualization is so important for product managers and discuss some of the best tools available.
Making decisions about product development can be difficult, but using data can make it easier. By looking at what your users are doing and how they are using your product, you can get a better understanding of what needs to change or stay the same. Data can help you determine what features to focus on, what areas need improvement, and when it’s time to call it quits on a project. So how do you use data to make better product decisions? Let’s take a look.
In today’s competitive marketplace, product led analytics is essential for driving growth and staying ahead of the competition. By understanding customer behavior, you can make changes to the product that improve the user experience and increase conversions. Don’t miss out and learn more about product led analytics!
Being a successful product manager isn’t easy - it requires a lot of skill and experience. That’s why it’s important to have the right tools at your disposal. In this blog post, we’re going to share a few tools that are especially helpful in a job of a product manager. These tools include prototyping and design tools, as well as analytics. With these tools in your arsenal, you will be able to take your product strategy to the next level!
Most product managers would agree that Power BI is a great tool for reporting and data visualization. However, many find that it does not help improve their product. In this blog post, we will explore some of the reasons why Power BI might not be the best tool for product management and suggest the best alternative. Stay tuned!
As a product manager, you’re likely already familiar with Tableau. It’s a popular data visualization tool used by many organizations to help them understand their data better. But despite its popularity, Tableau doesn’t actually help improve your product. In this blog post, we’ll explain why and offer some alternatives that will be more beneficial for your product team.
So you’ve heard of product led growth, but what does that really mean? And more importantly, how can you make it work for your business? In this post, we’ll break down what product led growth is and explore some tips for putting it into action. Stay tuned!
If you’re a product manager, then you know that tracking active users is one of the most important things you can do to measure your product’s success. But what happens when your active user numbers start trending down or suddenly spike up? How do you know if it’s just a normal variation, or if there’s actually something wrong with your product? In this blog post, we’ll show you how to use forecasting and anomaly detection insights from Stormly to keep tabs on your active users metric and detect any unexpected changes. Stay ahead of any potential problems before they happen!
At Stormly we’re all about product-led analytics. Our goal is to make sure we give you the insights needed to improve your product metrics.
There are plenty of tools out there that can tell you what your conversion rate is, but none of them will show you what behavior should be changed in your customer journey. And this is really the only way to find out how to improve your product metrics.
In this article we’ll show you how to get to the right insights that will improve your product goals, in two easy steps. Let’s dive right in!
All products, no matter how successful they are, need to constantly be tweaked and improved in order to stay ahead of the competition. One way to measure it is by looking at how sticky your product is. ‘Active Users’ insight from Stormly can help you do just that. This metric measures how many people are using your product on a regular basis. Knowing how sticky your product is can help you make decisions about where to focus your efforts and improve your product’s user experience.
No doubt you’ve heard the term ‘Daily Active Users’ thrown around a lot lately. It seems like every company is bragging about how many DAUs they have. But what does that number actually mean? Is it an important metric? And more importantly, is it a bullshit, well, a vanity, metric?
When it comes to choosing a tool for product analytics, there are a lot of options out there. Two of the most popular choices are Stormly and Mixpanel. So, which one should you choose? In this blog post, we’ll compare some of the biggest benefits of using Stormly over Mixpanel. Stay tuned!
If you’re looking for an affordable product analytics tool that offers the features of Amplitude, but is European-based, look no further than Stormly. It is a European alternative to Amplitude that’s growing in popularity among product managers. Like Amplitude, Stormly provides insights into user behavior, but it’s much cheaper and easier to use. Plus, it has all the features you need to track your product’s success.
Do you ever feel like you’re throwing spaghetti at the wall and seeing what sticks? Implementing new features into your product can be a lot like that. You never really know how well the new added features will be received by your users. If you know that issue, you’re not alone. Product managers often struggle with measuring the success and adoption of new features. In this blog post, we’ll share some tips on how to do just that.
NetDoktor, like many others, uses Google data to find out more about their readers. However, sending your personal information through servers that are controlled by an American company, means that intelligence agencies can demand Google to hand over data from European citizens.
Considering that risk, the Austrian data regulator officially announced that, by using Google Analytics, NetDoktor was found guilty of breaking GDPR.
Product managers are responsible for developing and managing pricing models, which is a very important part of the product development life cycle. For this reason, it’s critical that you choose the right pricing model in order to maximize revenue and satisfy customers’ needs.
Having a possibility to modify the things like “days” and “hours” may seem small but can make a huge difference when looking at charts. This blog post will walk you through some easy formatting tips for making your dashboards look great!
The new Netflix documentary “The Social Dilemma” portrays how popular social services like Facebook, Instagram, or Google manipulate the users without them even realizing it. As a tech person, with a marketing and UX background, I decided to share my view on a few aspects discussed in the film.
One of the basic but most effective forms of experimentation while building a product or running an ad campaign is A/B testing. It sounds very trivial, however those simple changes might significantly improve your conversions and what follows, revenue.
We know, as a Product Manager, you’re probably looking for the next best analytics tool to replace your current one. Stormly is an upgrade from Amplitude and is perfect for most use cases.
It’s so frustrating to hear that a customer is unhappy with your product. Especially when you’re not sure what the problem is! One way to do this is by using Stormly’s User Journey Insight - which lets you see where people are dropping off inside your product or app.
Stormly provides an easy-to-use alternative to product analysis software like Amplitude, Mixpanel and Google Analytics by giving you a clear picture of your users’ behavior with our powerful Insights, that turn your data into beautiful charts and graphs presenting the useful insights. Mixpanel, Amplitude and Heap are just some examples of competing solutions available right now - but how do you know if Stormly really holds up against them?
When you are working on a product, there is an overwhelming amount of user research, data gathering and analysis. It can be too easy to get caught up in the details and lose sight of the big picture. But it’s not enough to just know what users say they want or even how they act; you also need to understand why people do things so that your product performs as expected—every time.
Product features can be a make or break deal for consumers considering purchasing your product. That’s why it is crucial to figure out what’s important to them by analyzing what features you have and comparing their intensity and usage relative to other product features you have.
How Yogile doubled its conversion rate after discovering the Aha-moment and redesigning their user journey
Yogile’s success story started when it only took 5 minutes for Yogile to run Insights and tie the analysis together. As a result, they doubled their conversion rate by discovering the Aha-moment and redesigning its user journey. Want to double your conversion too? Read how to do it in a few simple steps!
You see a drop in sales for the last few days, and start to panic. By running a forecast you will know if this decrease in sales is expected or a real problem. A forecast may indicates that because of seasonality, your sales sales are always down 30% starting this time of the year.
Amplitude recently announced their new Milestone Analysis. While doing this analysis can be useful in some cases, it’s nowhere close to uncovering your true aha-moment. Read why.
Based on different sources and industries, the overall shopping cart abandonment rate is somewhere between 60% and 80%. We collected four of the most common ways to decrease the abandonment rate and dig into the problem a little deeper.
It’s probably needless to say that TechCrunch for years, has been one of the top online publishers focusing on the tech industry. Thousands of startup founders try every day to get the editor’s attention to their product. A dream is to get featured, which means getting the attention of the leaders in the tech industry and if lucky, opening the door to endless business and investment opportunities.