SaaS Adoption Metrics: Guide To Average Time Using The Product/Feature For Customer Success

Digital Adoption
Digital Adoption

The average time spent using a product/feature is a SaaS adoption metrics that helps customer success teams understand the product usage by users. This metric assist teams to identify areas where SaaS customers are struggling to use the product and make changes to improve the engagement and value delivery process. In this article we cover what is average time spent using a product/feature, factors influencing it as well as how to improve and what are the tools to measure it.

Written by

COO, Usertip

The average time spent using a product/feature is a SaaS adoption metrics that helps customer success teams understand the product usage by users. This metric assist teams to identify areas where SaaS customers are struggling to use the product and make changes to improve the engagement and value delivery process.

The average time using the product feature can also be a helpful benchmark for customer success teams to track over time. Let’s check out what is The Average Time Using The Product Feature For Customer Success.

What is Average Time Using The Product/Feature

The average time using the product/feature refers to the average amount of time a user spends using either a SaaS product as a whole or a specific feature.

Formula For Average Time Using The Product/Feature

It is measured simply by taking the total amount of time spent on the product/feature and divided by the total number of users of the product. It can also miscellaneously be referred to as average time on page or average time on site depending on what is being measured.

The average time spent using the product matters because it is an analogue for how much a user is engaging with your product/feature. Generally speaking a longer amount of time spent engaging with your product/feature is indicative of users deriving more value from your product.

Factors Affect The Average Time Using The Product Feature

1- Usage frequency: The more often a user utilizes a particular feature, the shorter their average time using it.

2- Average time in application: If a user spends a long time on the overall application, they may also spend more time using a specific feature within it.

3- Feature usage: Certain features/products may take longer to use, regardless of the user. For example, a feature requiring multiple steps or extensive data input will likely have a longer average usage time than a simpler feature.

4- User knowledge and proficiency: More experienced and knowledgeable users may be able to navigate and utilize a feature more efficiently, resulting in a shorter average time using it.

5- User goals and intentions: The purpose and desired outcome of using a feature can also affect the average time. If a user tries to accomplish a specific task or solve a problem, they may spend more time using the feature than a casual browsing session.

6- Active users: Active users who frequently access and use a feature will likely have a shorter average time than infrequent or inactive users.

7- Device used: The type of device (e.g. desktop computer vs. mobile phone) can also impact the average time, as certain features may be easier to access and navigate on one device versus another.

8- License utilization: If a user has access to premium versions or additional features through their license, they may spend more time using those compared to users with a basic version.

Overall, these factors can affect the average time a user spends using a product feature. Still, it is essential to consider and analyze usage data for individual users to accurately assess their behavior and usage patterns.

How Can You Improve The Average Time Using The Product/Feature?

The amount of time that people spend using your product/feature is an important metric to track. If people are using your product/feature for a long time, it means that they find it valuable and are getting a lot of use out of it. On the other hand, if people are only using your product/feature for a short time, it could indicate that they do not find it very useful.

There are a few ways to improve the average time people spend using your product/feature. Firstly, you can make sure that it is easily discoverable by placing it prominently on your website or app. Secondly, you can make sure that it is easy to use by designing a clear and intuitive interface. Third, ensure that you have appropriate onboarding and support tools in place so that users find it easy to pick up and seek support in their usage. Finally, you can incentivize people to use it by offering rewards or discounts for those who use it frequently. By taking these steps, you can improve the average time people spend using your product feature and ensure that it is used to its full potential.

User Engagement Metrics Tools

User engagement is a key metric for any SaaS business, as it helps to gauge how much value a user is deriving from yout product or service. You can use various user engagement metrics analytic tools to measure this, and in this article, we will discuss some of the most popular ones.

Tools to measure user engagement metric:

● Google Analytics: It allows you to track user engagement metrics, such as time on site, number of pages viewed, and bounce rate.

● KISSmetrics: KISSmetrics is another popular user engagement metric tool that allows you to track key metrics such as time on site, conversion rate, and revenue per visit.

● Mixpanel: Mixpanel is a tool that provides a detailed analysis of user engagement and can help you track key metrics such as acquisition, engagement, and retention.

Each of these user engagement metrics tools offers different features and data, so choosing the one that's right for your needs is important. Google Analytics, for example, is a free tool that provides detailed data on website traffic and user behavior. Mixpanel is a paid tool that offers more advanced features, such as the ability to track user behavior across multiple devices.

No matter which user engagement metric tool you choose, the important thing is to start measuring and tracking your user engagement so you can improve it over time.

Conclusion!

As a SaaS business, tracking the average time using the product feature is essential. By doing so, you can ensure customer success and satisfaction while also reducing churn rates. To get you started, we've provided a helpful guide to help you calculate this metric. With this information, you'll be able to make data-driven decisions that benefit both your customers and your business.

If you are a customer success team looking to improve your user's average time using a product/feature and improve your engagement with users via in-application walkthroughs and guidance, please check us out at https://www.usertip.com or follow us on Linkedin for more tips to drive user adoption.

Usertip is the first Southeast Asia digital adoption platform designed to help scale your onboarding, training and support for digital solutions. Operating from Singapore, Indonesia and Australia our no-code platform delivers in-application walkthroughs directly onyour digital solutions. Seamless user experience and on-demand learning are all delivered to your user’s fingertips within seconds. Click here to find out more.

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