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Defining Conversion Marketing and Why It's Critical to the Growth of your Business

Dec 5, 2017 3:42:38 PM | BY: Ryan Emond

Conversion marketing is broadly defined as “...the act of marketing with the intention of increasing conversions…” It's important to understand the difference between conversion marketing and conversion optimization. The practice of  ‘conversion rate optimization’ fits within the very broad and often misunderstood umbrella that is ‘Conversion Marketing.’


Mastering A/B Testing: Why Should I Run an A/B Test?

Nov 28, 2017 3:28:45 PM | BY: Ryan Emond

Welcome to part three of our three part series on the ins and outs of A/B testing. So far you’ve learned the basics of how to set up your test and what you should be testing. Each test will be different and the individual goals you might have will vary from case to case.

If you haven't had the chance to read Parts 1 and 2, I've provided links below:

Part 1: Mastering A/B Testing: When to Run an A/B Test

Part 2: Mastering A/B Testing: What Should I Test?

Below, I've provided the two most common reasons of why marketers run tests along with expert insight on where tests go right and where they go wrong.  


Cart Abandonment Case Study: Should I Use a Countdown Timer?

Oct 16, 2017 12:00:00 AM | BY: Ryan Emond

Now that we have some holiday-specific benchmark data to work with we here at Justuno decided that it was time to put some of the key indicators from that study to the test.


Mastering A/B Testing: When to Run an A/B Test

Oct 12, 2017 12:00:00 AM | BY: Ryan Emond

By now most marketers have at least heard that they need to integrate testing into their process for developing new promotions and advertising. In order to optimize for conversions, you must be testing. 

You have probably heard the terms ‘A/B testing’, ‘A/B/n testing’, or ‘Multivariate testing’. You may have even done a little bit of research into what each of these things are. Let me save you some time:

  • ‘A/B’ and ‘A/B/n’ testing are essentially the same thing. They are both testing one specific variable change to see the impact of that change.
  • A Multivariate test is any test wherein you are testing the impact of multiple variable changes are once. The hint is in the name itself: multi (many) variate (variables).

A/B Test: How Shopify Plus Merchant, The GLD Shop, Increased Conversions by 400%

Aug 30, 2017 2:05:14 PM | BY: Ryan Emond

Sometimes in A/B testing, it’s obvious what you need to test.

A full-screen takeover vs. a popup.

And sometimes, minor changes in design, text, CTA or timing make a drastic impact on engagement and conversion.

An image with lots of negative space around it vs. a closeup.

Maybe that seems minor...but is it?

Luckily for digital marketers, you have the ability to hypothesize and A/B test those hypotheses to make sure that what we’re doing is our correct course of action.

Just the phrase “A/B test” tends to bring a negative connotation with it and we feel your pain. It takes long enough, usually, to get the first version of something up...so entertaining the idea of building an alternate version just to test seems daunting.

The good news is, your A/B tests don’t have to be anything crazy - they can be minor tweaks which produce big results.

Testing ensures that even when you aren’t sure what to do you can still act. Don’t worry about if your test doesn’t confirm what you wanted it to - all data is good data.

My team has made ‘all data is good data’ our guiding star. By following that star, giving ourselves room to fail, and iterating on what our testing tells us we are able to build to big wins. Let's take a look at this successful Shopify popup test!


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