[MUSIC PLAYING]
JASON O'GRADY: Hello, and welcome
to Optimize, Google's free testing and personalization
product.
I'm Jason, technical writer here at Google.
And joining me today is Optimized Product Manager Alex
"Q."
Hey, Q.
ALEX DUONG: Hey, Jason.
JASON O'GRADY: So what is an A/B test, anyway?
An A/B test, also known as a split test, or an A/B/N test,
is a randomized experiment with two or more variants
of the same web page.
So variant A is the original, and variants B through n
contain at least one element that's
modified from the original.
So how do you create an experiment?
Now, you may hear a couple of new terms here,
but don't worry.
We'll describe all of them later in this video.
So you create an experiment in Optimize in three quick steps.
First, create a variant.
Then, target an audience.
And finally, choose an objective.
Now, Q, want to show us how it's done?
ALEX DUONG: Happy to, Jason.
Yeah.
So let's jump right into the Optimized home page.
Here we are.
And what you'll see is, we think of it
as creating an experiment that contains all of those variants.
So let's start there.
Create experience.
I just give it a name.
It's conveniently pulled in the URL, based
on configurations previously, and by default,
selects the A/B test.
Now, I have a hypothesis about the call
to action on the home page.
So here, I'd click Alternate, and I would
go ahead and click Create.
But we've already got one, actually,
down here that I've started.
And so let's jump right to that one.
And here we are on the Setup page.
You can see up at the top it's called
Alternate Call to Action.
First step, as Jason mentioned, is add a variant.
Think of this as essentially creating an instance,
or a copy of the page, where you want to make those edits.
So I'm going to click Add Variant, conveniently name it
variant 1, click Done, and there we are.
You have the original and variant 1.
I'm going to go ahead now and make the changes that I
wanted to by clicking Edit.
This opens up the page.
There it is.
But remember, this is a copier instance of it.
And none of this is live, so we can go ahead and make
all the changes we want.
And if need to, right here is that little Undo button in case
you want to undo anything.
So in this case, my hypothesis is,
I want to change the call to action,
and believing that if I change it to something else,
it's going to actually cause visitors to stay and visit
other parts of the site.
So click Edit Element, Edit text,
and I'm going to change this to, say, View our catalog.
Now, I'm going to click Done down here in the bottom right.
Take a quick look.
Everything looks right, and so I'm
going to click Save and Done at the top.
Great.
That brings us back to the Setup page.
Now, step two, as Jason mentioned,
is to go ahead and select who gets to see it--
what we call audience targeting.
I'm going to click Customize.
There's a whole range of options you can see here.
But for this demo, our flower shop
is based in Fort Collins, Colorado.
And I just want locals in that area
to see this alternate version.
So I'm going to choose and click Geography.
City equals has already been set,
and I'm going to search for Fort Collins.
There it is.
Select it.
And then go ahead and click Add at the top right.
There we go.
Now, step three is objective.
This is essentially, what is it that you want to measure or try
to improve with this test?
So let's click Add Experiment Objective.
Click Choose From List.
Here, there's some preconfigured options.
In this case, I had mentioned that our hypothesis
is that by changing that call to action,
we're going to get visitors to stick around and visit
more parts of the sites.
So I'm actually interested in page views.
Select that.
Great.
Now scroll up.
What we've got here, is we've got the original version
of the website.
We've got variant 1, which is a copy with some changes we've
made, noted here by the number of changes.
And we are only targeting those down here at the bottom.
Those in Fort Collins are going to be the only ones that
see this, with a 50% distribution
between the original version and this alternate version.
Everything looks good.
All we've got to do is hit Preview
if we want to check it out.
And then, finally, just click Start at the top,
and you're ready to go.
It's that easy.
JASON O'GRADY: Thanks, Q. That was great.
So what you just saw is how to create
an experiment in Optimize in three easy steps.
Learn more about Optimize and the Optimize resource hub.