How does Stormly compare vs Heap for Product Analytics?
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.
If you’re looking for a tool to help you with your customer journey, Heap is a great option. However, it’s important to keep in mind that while Heap is great for customer journey mapping, it doesn’t offer much in the way of other features.
So if you’re looking for a tool that can help you with your product team to have a full picture of what’s happening within your product, you’ll need to use other tools as well.
While Heap has a lot of areas that users appreciate, there are also some drawbacks that can be frustrating. One common complaint is that Heap doesn’t always capture all the data you need. For example, if you’re tracking clicks on a specific button, Heap won’t track clicks on other parts of the page.
This can make it difficult to get a complete picture of how users are interacting with your site. Another issue is that Heap can be slow to load, especially when you’re dealing with large data sets. This can make it difficult to get real-time insights into what’s happening on your site. Overall, Heap is a powerful tool for user journeys, but it’s not perfect.
All too often, product managers focus on a single metric when trying to improve their product. However, this can be a mistake. While it is certainly important to keep an eye on key metrics, it is also essential to take a holistic view of product analytics. By looking at all areas of the product, product managers can identify potential problems and address them before they cause major damage.
There are many different aspects of product analytics, from user experience and engagement to conversion rates and customer satisfaction. Each of these areas provides valuable insights that can help you improve your product.
User experience data can help you understand how easy or difficult it is for users to accomplish their goals with your product. Is there a particular task that takes too long or is particularly confusing? Are there features that users never use? User experience data can help you identify these problems and make necessary changes.
Engagement data helps you understand how often users are using your product and which features they are using the most. If you see a decline in engagement, it could be an indication that something is wrong with your product. Are users losing interest because they are unable to accomplish their goals? Or are they getting bored because they’ve mastered all the content? Engagement data can help you identify these problems and take corrective action.
Conversion rate data gives you insight into how well your product is selling. If you see a decline in conversion rates, it could be an indication that users are having difficulty completing the purchase process. Are there too many steps? Is the process taking too long? Is the price too high? Conversion rate data can help you identify these problems and make changes to improve conversion rates.
Customer satisfaction data helps you understand how happy users are with your product. If you see a decline in customer satisfaction, it could be an indication that something is wrong with your product. Are users unhappy with the quality of your content? Are they having difficulty accomplishing their goals? Customer satisfaction data can help you identify these problems and take corrective action.
Only by looking at all areas of the product, managers can develop a more targeted approach that will ultimately lead to better results. This is why you need a tool like Stormly.
As a product manager, it’s essential to have a holistic view of product analytics in order to identify potential problems and address them before they cause major damage. Stormly’s automated Reports give you a complete picture of how your product is performing, so you can quickly identify areas that need improvement.
Additionally, Stormly’s User Journey Report shows you how customer behavior affects your product metrics, so you can make changes to improve your product journey and retention rates. By taking a holistic approach to product analytics with Stormly, you’ll be able to empower your product team and stay ahead of the competition.
As a product manager, you need to be able to justify every penny you spend on product analytics. Heap’s pricing structure doesn’t make it easy to do that. The free plan only lasts until 10,000 sessions, and after that, the growth plan starts at $10,000. That’s a lot of money to spend on a software that is not the only one you’ll need for product analytics. Therefore, it might turn out that Heap is a quite expensive option for product managers considering its limited functionality.
Stormly’s free plan is a great way to get started with product analytics. It includes all of the advanced features, and you can use it until you reach 25,000 actions per month. After that, the monthly plans start at just $199/month. Stormly believes that companies need the best data tools to be successful, and offers different plans to meet the needs of businesses.
Whether you’re just starting out or ready to scale up, Stormly has a plan that can help achieve goals.
In conclusion,if you are looking for a product analytics tool that will help you uncover insights from your data and understand your customer journey, Stormly is the way to go.
Stormly uses ML to give you the best possible understanding of your data so that you can make informed decisions about your product. Heap is a good option if you are only interested in customer journey but if you want a comprehensive understanding of your product analytics, Stormly is the better choice.
So what are you waiting for? Sign up to Stormly today and see how we can help take your product to the next level!