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If you’re an e-commerce site, increasing your conversion rate is key to running your business. But making blind changes to your site or marketing campaigns can be counterproductive. You first need to understand your users:
- Why are they coming to your site?
- What are they doing on your site?
- Why are the buyers buying?
- Why are the non-buyers not buying?
In this post, we’ll discuss four methods you can use to better understand your users: Session Analysis, Aggregate Analytics, User Studies, and Surveys. Each method has different strengths and weaknesses, so you will likely want to try a few of these in concert to best understand your site and your users.
The Four Methods for Understanding Your E-Commerce Users:
1) Session Analysis
What is session analysis?
Session analysis is an evaluation of site data (i.e. “time on a page” and “navigation flow”) for a select number of users.
Session Analysis, at a Glance:
- Pros: Quick and easy. Lets you see actual user data.
- Cons: Can’t ask users “why.” You’re only looking at a small sample size.
- Example: You look at a dozen buyers and a dozen non-buyers. Buyers usually land on your home page; use the “most popular products” list to find a product, and then purchase. Non-buyers usually land on your home page; use the on-site search – sometimes multiple times, and then leave. One possible conclusion: search results do not seem to be matching the users’ expectations – there is work to be done here.
What’s a good tool to use for session analysis?
Spring Metrics, other analytics tools, or your server logs.
Why should I use session analysis?
This is a quick and easy first step that will get you started within just a few minutes. While you should be able to target individual user data, you won’t be able to ask “why” to your user. You’re also limited on how many users you can realistically analyze.
2) Aggregate Analytics
What is aggregate analytics?
Aggregate analytics is simply reviewing all of your site data and metrics to help identify user trends.
Aggregate Analytics, at a Glance:
- Pros: Can see trends to understand different segments of users; data view is 100% comprehensive rather than just a sampling.
- Cons: Can’t ask users “why.” Your web visitors become statistics rather than actual people.
- Example: You look at your data and notice that first time visitors rarely buy, but second and third time visitors seem to convert at a higher rate. You might take two actions at this point; you may create offers for only first time visitors to try to get them to buy sooner, or you may try to capture other information such as email address on the first visit, so you can get them to come back for a second visit when they are more likely to buy.
What are good tools to use for aggregate analytics?
Google Analytics and Spring Metrics.
Why should I use aggregate analytics?
Analyzing your global, overall web data can help you determine high-level user trends. For example, you should be able to pinpoint where most of your visitors come from, and which of your marketing efforts are most effective.
3) User Studies
What are user studies?
User studies are observations of individuals using your site. In most cases, the users are speaking out loud as they browse your site so you gain insight into their thought processes.
User Studies, at a Glance:
- Pros: Can understand users’ intent and hear users’ ‘why’ instead of just tracking their actions.
- Cons: Cannot realistically test every user.
- Example: You run a user study with five participants. Three of them get frustrated because they don’t see the shipping cost early enough in the checkout process. You can make that change immediately or possibly run an A/B test with potential changes. If you had studied just the website data, you would have seen them stopping the process, but you wouldn’t have known why they were leaving the process early.
What’s a good tool to use for user studies?
I’m glad you asked. Our site, UserTesting.com, is an affordable web-based solution where you can get results back in an hour.
A User Study in Action:
Why should I use user studies?
Hearing users’ uncertainty and confusion when they hit one of your pages is invaluable. In addition, having them tell you what they don’t like, what they would prefer, and what they expected (compared to what they saw) is an eye-opening experience.
4) Surveys
What are surveys?
A survey is generally a collection of responses tied to specific questions or tasks that are asked to a large audience.
Surveys, at a Glance:
- Pros: Can sample a large pool of users; receive non-site-specific data such as general buying habits.
- Cons: What users say they want may not reflect actual behavior; sometimes difficult to quantify where users are getting confused or stuck on the site.
- Example: You survey 1,000 people to understand what sites they shop on and what influences their buying behavior. You find that users dislike getting charged large amounts for shipping and handling, so you create offers for Free Shipping for some or all of your customers.
What’s a good tool to use for surveys?
SurveyMonkey and Zoomerang are both very popular solutions.
Why should I use surveys?
In some situations, a survey can be helpful because it can address topics that may not be directly site-related. Sometimes the problem might be more product or policy related.
Conclusion
Each method of analysis helps you to better understand nuances related to user trends and behavior—and each brings additional feedback that helps you figure out how to serve your customers best. Generally, you will want to choose several methods to get a well-rounded perspective before you dive into changing your site and campaigns. If you do the analysis work ahead-of-time, you can save time in the long run and gain more satisfied customers.
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About the author:
With UserTesting’s on-demand platform, you uncover ‘the why’ behind customer interactions. In just two hours, you can capture the critical human insights you need to confidently deliver what your customers want and expect.
