Many Shopify stores have steady traffic and stable conversion rates. That’s great. But because things are “working,” a lot of decisions end up being based on gut feeling.
Sometimes that works. But you’ll never know how many better options you’ve missed.
That’s where A/B testing comes in. And if you’ve already been doing personalization, you might wonder, what’s the difference?
What’s the difference between A/B test and personalization?
They both follow a similar flow: modification > advance targeting > analysis. But the biggest difference is how they handle the audience.
A/B testing splits traffic randomly. That means the results are easier to trust. You’re not guessing, you’re testing. Personalization, on the other hand, skips the “split” part. It’s already live, so it’s harder to compare and know what’s truly working better.
Not testing yet? You might be leaving money on the table.
Small tweaks, like changing one line of copy on a button, can move the needle. Even a small lift — say 1% or 2% — could mean thousands in extra revenue for a high-volume store.
You don’t need to be a data scientist to start experimenting. You just need to be curious enough to ask: could this perform better?
You might have never tested before, but that next 2X or 5X growth? It might be hiding behind a simple variation you haven’t tried yet.
So don’t let “this works fine” stop you from finding what actually works best.
Another great article from us
Avoid the most common A/B testing mistakes Shopify merchants make—from testing too many variables to ignoring sample size and timing. This post shares 5 data-backed tips to run cleaner, smarter experiments that actually improve conversion rates.
May 9, 2025
6 min. read
