This article provides suggestions for A/B/n tests to optimize your store, including recommendations for box placements, the number of boxes per page, and the types of boxes to use to increase conversions.

We’ve written an entire guide on what type of recommendation works best for each page and what is the best placement per box.

Example: A clothing boutique could A/B test placing recommendation boxes at the top of a product page, to the side, below the add to cart button, below the description, and below product reviews to see where their recommendations perform the strongest to drive up AOV.

Experiment with how many boxes you stack, or what other content blocks you put between your recommendations (such as reviews or product information) to improve the customer experience and site performance.

Example: A furniture store could highlight other items in a "Log Cabin Style" collection based on a shopper viewing a rustic wooden table, while serving up a second row of "Top Trending Products" that skews toward their bestsellers in this same collection, or across the entire site.

Consider A/B/n testing your exit intent pop up offers to see what keeps customers staying put – A discount? Email signup? Bestselling products? Frequently bought together? There’s more than one type of offer to serve up so don’t be discouraged if your first one doesn’t keep customers shopping.

Example: A skateboard store could promote a free shipping code in an exit intent pop up along with other boards from the same brand as the product page someone is about to exit.

You can use Content Personalization to change the image, text, CTAs, and any other HTML element on a webpage per visitor. You may want to change the order of your home page when, for example, you want to show different content on the desktop vs mobile to a specific user (e.g. returning shopper from an email campaign). You can even replace a section with ‘nothing’ and have that section disappear for certain customers or devices.

A/B testing is the most powerful tool to optimize your content personalization campaigns per audience segment. You may want to consider doing a few A/B/n tests with a small portion of your visitors (e.g 5% of traffic) to make what type of hero image, message or CTA on the homepage creates more customer interaction per audience segment.

Example: Test two different featured collections (e.g. sales vs. new arrival collections) on the home page for your First-time Buyers visitors to see which one created more click-throughs and revenue or reduces bounce rates.