How to Combine KISSmetrics with Google Analytics - dummies

How to Combine KISSmetrics with Google Analytics

By Leslie Poston

KISSmetrics is a paid metrics solution with fairly reasonable price points. If you have the budget, KISSmetrics is one tool to experiment with, in addition to Google Analytics, to add that layer of people-tracking that Analytics lacks. In fact, Google Analytics is one of many services that KISSmetrics works well with via API integration, and the setup is simple.

When you sign up for KISSmetrics (which starts at $29 per month after a 30-day free trial), you notice several things:

  • The setup time is less than 10 minutes if you know a little bit about how to work with your website.

  • KISSmetrics makes some sweeping claims about what you’ll learn about your business from their metrics in one week (and the claims aren’t far off).

  • KISSmetrics provide all the code you need to implement each vertical and condition you want to track.

  • Its metrics are people-centric; KISSmetrics remembers details about your visitors beyond page clicks and location.


Some of the many things KISSmetrics is designed to track include how people come to your site, which of your channels work the best to bring people that convert to your doorstep, what that conversion rate actually is, when people slip out of the sales funnel during signup or checkout, whether customers are being successful at learning and using your site (on-ramping or onboarding), which customers take advantage of your trial without buying, and which features of your site actually get used.

When it comes to people tracking, you can tie in properties in KISSmetrics to a single visitor. For example, a new customer is a writer and used a 10 percent off coupon, found you on LinkedIn via your company page services link, and works for a Fortune 100. If you “tell” all of that information to KISSmetrics by associating properties with this customer, KISSmetrics will remember it. You can then use it to create advanced segments and data slices on your data.