There are many features available when building a website survey, but one of the more common is skip logic.
The reason for this is that skip logic contributes to the two main goals when optimizing a website survey:
- Improve your data
- Get more data
These goals will help you to make better business decisions based on your survey results.
First, let’s take a look at what skip logic is, and then how to use it on your website in a way that will benefit your business.
One of the major challenges with modern marketing, analytics and survey tools is getting all of your data in one place.
This is important so that you can segment your data across multiple tools, and have more data to work with – and make decisions from.
This is why it was important for us early on to integrate MARE survey data with Google Analytics – a highly used web analytics platform that’s free.
We’ve built this feature so that it’s dead simple to use, and doesn’t require any new code on your site to setup.
Just one click and you’re done.
But integrating the data is just half the battle. You also need to be able to setup your analytics account so that you can easily find the data you’re looking for, and segment it in ways that give you valuable insights.
Here are some examples of what you can segment using this feature:
Let’s say you were running a Net Promoter Score survey, and you wanted to see if the NPS of a respondent had any real world effect on the engagement of that visitor.
Similarly, you could take a look at how visitors responded to a product validation survey to see if certain respondents are actually engaging with your content and your app.
Or, you could see if there is any correlation between how visitors respond to your website exit surveys, and their interaction with your site.
In this post we’re going to go over how to setup the Google Analytics integration, and then how to use Google Analytics’ custom segment feature to give you valuable information about your surveys, your audience and your site.
Let’s get started.