It's late. I'm tired. But it's been a few days and I wanted to get some thoughts down. I've been thinking about testing and optimization. The basic stuff. The simple stuff. The things that it seemed marketers should know intuitively, but they just didn't. Turned out sometimes, the things they thought would work, didn't. And the things that shouldn't have worked, did.
Even after testing and optimization began to be par for the course for many companies, I found myself banging my head against the wall in frustration when I'd hear, at conferences, "we don't need to test. We know what our customers want." Or, "We don't need to test. Doing it this way just makes sense. It's intuitive." Or, my favorite, "We don't have time to test."
Now, testing on websites, whether it be simple A/B tests of one call to action versus another or a more complex test that shows different content throughout the site to different visitor segments, has become common. I'm reading case studies everywhere. I love it.
Of course, it's no longer enough. Not for me, and I believe not for most marketers. Testing and optimization should are important, after all, only so far as they improve a visitor's experience, right? (And, thus, our bottom line.) We should strive to make their experience ever more relevant. How can we do that? How can we take our myriad offerings and pare them down in such a way that each and every individual sees only what they want, when they want it?
It's like mind reading. And I know we can do it. But right now, it's making my brain hurt. So I'm going to post some really basic thoughts on testing, from an article I wrote nearly two years ago. The ideas are fun to implement, and profitable, yet simple to wrap my brain around tonight. Read on, if you're interested.
You can increase sales or conversions by 400%, according to a recent
MarketingSherpa finding, by testing and optimizing your landing pages.
Use multivariate testing rather than A/B testing, and you can reap
those increased conversions much more quickly.
Multivariate testing is a mouthful, but worthwhile
to be aware of. Think of multivariate testing as running thousands of
A/B tests all at once. It uses a mathematical algorithm to rank
multiple elements within a single test.
For example, imagine you want to test these types of elements:
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order and wording of registration fields
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hang-tag with a special offer
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"free trial" starburst
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dense copy vs. bullet points
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photos with people vs. product photos
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incentives (free shipping or dollars off?)
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navigation bar: green vs. blue
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stylized links vs. simple buttons
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Multivariate testing allows you to test all of
these elements (and more) at the same time. It works with test cells as
small as a few hundred, so you don't need hundreds of thousands of
users for accurate results. And it ranks each element alone and in
relation to each other, something A/B testing cannot do.
A/B tests still have validity. If you've never
dipped your toe into the testing stream, A/B testing allows you to
start slowly, tweaking a single element at a time. At a global level --
say you're trying to decide whether to sell apples or oranges -- A/B
testing is a simple, straightforward approach to determine the better
of the two options.
But if you want to get more revenue from fewer
visitors and you're not sure what elements have the most impact on
conversions, multivariate testing works best. Here are three things to
think about if you're considering running a multivariate test:
1. What pages should you test?
The Web pages that have the
highest value are prime for testing. Look at the two or three
hardest-selling pages. Are they pushing as hard as they can?
Other opportunities to apply multivariate testing include landing pages for email, ad, or search campaigns.
2. What elements on those pages make customers take action?
Every retailer has an idea of who the customer is, what they care about, and what the site needs to do to meet their needs.
Look at your assumptions of customers: Do they care
more about price? Quality products? Being part of a community? Getting
information before anyone else?
3. Test your assumptions
Anything that you think drives conversions should be thrown into the blender.
Should a big brand put a really average product in
the hot real estate to push it harder? Or should you put a hotter
product in the key real estate? Both have merit, but which works
better?
Multivariate testing is the difference between
fishing with a net and fishing with a line. The upshot? You get better
results more quickly, an important factor when you consider that most
things you test won't have a significant affect on conversions. And you
have the added excitement of finding hidden elements that improve
conversions (hidden, because they likely won't be the elements that you
expected).
Add those elements together for an optimized page that increases conversions and lowers acquisition costs.