How To Run An A/B Test in Google Optimize | Digital Strategy Company
  • How To Run An A/B Test in Google Optimize

    It’s So Easy…

    2 Minute Read

How To Run An A/B Test in Google Optimize

By: Paul Hickey, Founder and Lead Strategist

By now you know how much I believe in the power of data.

It not only helps businesses make effective decisions related to marketing, media budget and time management, thus helping them grow their top line revenue and increase profits…

…but it also can improve culture, relationships and overall productivity.

Let’s take the good ole opinion on what a headline should say on a website, what a button should say, or what color a navigation item should be.

If your employees have spent even one second debating any of this, they’ve wasted valuable time.

When it comes to this stuff, the answer, my friends, is ALWAYS an A/B Test.

Stop beating each other up over something that can be tested so easily with a winner determined based on website engagement data.

Take the button color example. Joe likes the current orange button on datadriven.design, but Sally thinks green would be better.

This stuff happens people. Both people want to be right, they want their way to win, and feelings get involved. Opinions = Hurt Feelings.

Hurt Feelings = Bad for Business.

Using an A/B Testing Tool like Google Optimize (shown in the video below), Optimizely, Hotjar, Crazy Egg or Visual Website Optimizer (VWO), can determine which color actually engages or converts traffic at a higher rate. And this is just one example of what can be tested.

When we say “Data Over Opinions,” we mean it. Seriously. Stop debating. Start doing. Do an A/B Test for 30 days. Whichever one yields the best engagement, that’s the winner.

Then, test something else. Over the course of 3-6 months you’ll be converting far more web users into customers.

Thanks for reading /watching and have a great day!

Paul Hickey has created and grown businesses via digital strategy and internet marketing for more than 10 years. His sweet spot is using analytics to design and build websites and grow the audience and revenue of businesses via SEO/Blogging, Google Adwords, Bing Ads, Facebook and Instagram Ads, Social Media Content Marketing and Email Marketing. The part that he’s most passionate about is quantifying next marketing actions based on real data.

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