How to get started with Product Analytics

As a product manager, you’re constantly juggling a lot of different tasks and responsibilities. You need to be able to think strategically about where your product should go, or to manage development and resources. You also need to be able to track how well your product is performing. And one of the most important aspects of tracking your product’s performance is using product analytics. 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.

First of all, you might be wondering how product analytics differ from website or digital marketing analytics, and why is it important to track all three separately.

Product analytics refers to the process of collecting and analyzing data about a product in order to improve its performance and appeal to customers.

Website and digital marketing analytics, on the other hand, focus on the data surrounding a company’s website and online marketing campaigns. While both types of analytics are important, they serve different purposes.

Product analytics helps companies understand how their products are being used and what improvements can be made, while website and digital marketing analytics provide insights into how effective a company’s online presence is.

As a result, it is important for companies to track all three types of data separately in order to get the most accurate picture possible. So now that we know what exactly is product analytics, let’s dig into a few things you’ll need to do in order to set yourself up for success.

First, you’ll need to define your goals. What exactly do you hope to achieve by collecting and analyzing data?

Once you know what you want to accomplish, you can start tracking progress towards those goals. This will involve setting up metrics and KPIs that you can track over time. Once you have your goals and metrics in place, you can begin collecting data.

As the saying goes, “data is power.” And it’s true - the ability to collect and interpret data can give you a huge advantage in the marketplace. But what do you do with all that data once you’ve collected it?

Here are some tips for using data to improve your product’s performance:

1. Know your audience. The first step is to understand who your target market is and what they want from your product. Once you know this, you can start to look at your data with a more focused lens.

2. Look for patterns. Once you have a good understanding of your audience, start looking for patterns in the data. Are there certain times of day or week when people are more likely to use your product? Are there certain features that are being used more or less than others? Identifying these patterns can help you make changes that will improve your product’s performance.

3. Test and iterate. Once you have some ideas for how to improve your product, put them to the test! Try out different changes and see how they impact your product’s performance. Then, based on the results of those tests, make further changes and continue testing until you’ve found the perfect formula for success.

Product analytics can be a powerful tool for driving product development and growth. However, there are a few common pitfalls that can trip up even the most experienced team.

One of the biggest challenges is collecting accurate data. This can be difficult because it often requires cooperation from multiple departments, such as engineering, marketing, and sales.

There can also be data quality issues, such as incorrect or incomplete records. To overcome this, it’s important to have a clear plan for data collection and management, with built-in quality checks.

One way to solve this problem is integration with one of the products, such as Segment or MParticle. They handle all the data from multiple sources and make it easy to connect to the best product analytics tools, like Stormly.

Another issue is defining the right metrics. There are often too many factors to consider, which can make it difficult to identify the most important ones. This can lead to analysis paralysis and decision fatigue.

The best way to overcome this is to use the right software which will guide you into what metrics you need to track. With Stormy, you will also automatically generate those metrics with the use of machine learning algorithms. This will save you tons of time on data analysis. All the time you can spend on turning that information into improving your product.

Finally, product analytics can also be affected by changes in the market or technology. This means that your team needs to be constantly monitoring for new trends and developments. By staying flexible and adaptable, you can overcome these challenges and make product analytics work for you.

Product analytics can be a powerful tool for businesses, giving them insights into how their products are being used and how they can be improved.

There are many case studies of businesses that have used product analytics to great effect, resulting in increased sales, improved customer satisfaction, and enhanced product development.

One such business is Amazon, which has used product analytics to help improve its e-commerce platform and recommend products to customers.

Another is Netflix, which has used product analytics to develop its recommendation engine and personalize its content offerings.

An interesting example is also an online travel site Expedia, which used product analytics to understand why some customers were canceling their bookings.

They discovered that many customers were confused by the cancellation policy, so they simplified the language on their website and saw a significant decrease in cancellations.

These are just a few examples of businesses that have used product analytics to achieve success. By understanding how customers use their products, companies can make improvements that drive real results.

So, what’s the best way to start with product analytics? The first step is to find the right tool for you and your team. Sign up for Stormly today and get started on building a better product tomorrow.