Boost Your eCommerce Conversion Rates
Like A Pro, With A/B Testing
If you’re seeking out actionable strategies to boost your conversion rates, you’ve come to the right place.
We’re going to explore a secret weapon that should be in every marketer’s toolkit:
• A/B testing
This tool is to data-driven marketing what a Swiss army knife is to survival enthusiasts.
1. The Unmatched Power of A/B Testing
A/B testing is like asking your customers…
“Hey, which version of our website do you like better? A or B?“
They vote with their clicks and purchases.
It’s like a popularity contest, but for your webpages.
Here’s a stat to knock your socks off:
Companies that use A/B testing generate 30% more leads for the same traffic.
What’s not to love, right?
That’s a powerful reason to take A/B testing seriously!
A/B Testing in Action: A Real-Life Example
Remember when Getelastic tested changing their “Add to Cart” button from green to red?
That simple change increased their conversion rate, by a staggering +21%.
Yep, that was A/B testing in action.
And this is just one, super-simplified example…
Time to Get Started: A/B Testing Basics
Here’s a quick rundown of how to get started with A/B testing:
Choose a variable to test.
This could be anything from your call-to-action (CTA) color, the size of your text, or even the phrasing of your copy.
Create two versions of your webpage (Version A and Version B).
Version A usually represents your current design (the “control“), while Version B introduces the changes you’re testing.
Divide your audience.
Half of your visitors will see Version A, while the other half will see Version B.
It’s akin to a magic trick, but specifically for marketing.
Analyze the results.
Determine which version led to more clicks, conversions, and ultimately, customer satisfaction.
There’s your winner!
2. Potential Pitfalls of A/B Testing
A/B testing is powerful, but like any superhero, it has its kryptonite.
There are certain pitfalls you need to avoid:
- Testing too many variables at once: It’s important to remember that this isn’t a buffet. Stick to A/B testing, not A/B/C/D/E…
- Not allowing enough time for your test: A well-executed A/B test requires time to deliver reliable results. We recommend running a test for at least a week.
- Ignoring statistical significance: Your data scientist friend (that’s me) says you need a large enough sample size for results to be valid (a sample size of at least 10%, or more, will work).
3. A/B Testing: Your Secret Weapon for Conversion Optimization
So, if you’re ready to see some serious improvements in your conversion rates, it’s time to get your A/B testing game on.
Your bottom line will thank you.
Remember, the most successful eCommerce brands aren’t afraid to test, tweak, and test again.
And with A/B testing, you’re not just making changes based on a gut feeling—you’re making data-driven decisions.
That’s the hallmark of an effective marketing strategy.
That’s marketing gold.
To A/B test or not to A/B test is no longer the question.
The question now is, what will you test first?
Until next week, keep those tests running and conversions coming!
Your data-loving friend,
Sam Sprague
P.S. Got a burning question about A/B testing? Shoot me an email, and I’ll get back to you faster than you can say “conversion rate optimization”!
