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Blog post
March 15, 2022

5 critical Google Analytics insights early startups should be measuring

For every startup on their way to funding, understanding how your website or web app is performing is critical for prioritizing your backlog and understanding the effectiveness of your marketing efforts.

Google Analytics is a great tool to capture this important data for businesses, and below we will look at 5 insights critical to help make your startup launch successful.

1. Audience overview: Know your users

  • How many users are visiting your web app and where in the world are they visiting from?
  • How did they find your app?

Google Analytics employs various techniques to collect this information and present it in a graphical format using charts and timelines. This is key to understanding how your product is performing and how effective your marketing efforts are.

2. Track and understand user journeys through your app

  • Do you know how effective your sign-up flow is?
  • Do users stop at certain pages in your app?
  • Are they able to find their way around your app or are there pages that users don't seem to find?

These are all questions that can be answered using user analytics and tracking which pages your users are visiting will give you an idea of how they're navigating through your app.

3. Measure user interactions

  • How does a user interact on a single page?
  • How does a user interact across different options, CTAs and elements, such as forms or buttons for checking out?
  • How can you measure the effectiveness of these interactions vs. multi-page apps?

So far we’ve talked about insights that are based on users visiting different pages in your app. By implementing Google Analytics events in your app you can get this more granular level of usage information on any given page. To enable analytics, your app can send an event to Google Analytics every time a user clicks a button or does something very specific. This level of monitoring tends to be more specific to the app you're building, but is often and sometimes more valuable in understanding how your app is being used.

4. Test UX hypotheses

  • How do you know if your ideas for changes or features are effective?
  • How can you iterate quickly or understand the differences between multiple versions?

Now you’ll be able to tell if users are interacting with the new feature. Was it an improvement? Are they using it? Did it affect the performance of other parts of your app? Analytics can give you these insights by allowing you to compare data across time and between different versions of the app.

A tip to make test hypotheses quicker with less risk is to only release them to a subset of users. The subset could be new users, old users, users from a specific country, users who have opted into a beta program, or any other type of categorization that makes sense for your app.

5. Do data-driven iterations

  • Do you have ideas for how to improve a flow in your app, but are unsure about what works and what doesn’t

By leveraging analytics data you can adopt a way of working that promotes quick iteration time and fast improvements, backed by data.

A popular example worth iterating and optimizing is a sign-up flow. You have the data, so you know how effective it is in terms of conversion, and where users drop off. You know where to start optimizing.

Spend a few days improving the flow, then release it, and measure the effect. Did it work? If it did, there’s likely a new area of the flow that needs optimizing. If it didn't work, you learned something and can use that as input to the next iteration. Rinse and repeat, and you’ll always spend time on the parts of your app that require the most attention.

If multiple iterations don’t improve anything, then you know it’s likely something bigger that needs changing. Re-think rather than optimize.

Where to start?

Learning about data is all about speed. How fast can you develop your experience? How fast can you deploy it? And how fast can you iterate the design?

Choose a powerful platform. Low-code and no-code platforms offer increased development speed for running.

Noodl, in particular, focuses on the ability to customise and respond to what start-ups are looking for.

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