Personalised Bundle Recommendations on Shopify: Using Data to Drive Relevance

Why Personalisation Improves Bundle Conversion

A generic bundle shows every customer the same product selection. A personalised bundle shows each customer the products most relevant to their specific interests and history. The personalised offer feels more considered and relevant, which reduces the effort required to select products and increases confidence in the purchase decision. Customers who see products they already know and like in a bundle are more likely to add them than to explore unfamiliar options in a generic bundle.

Using Purchase History for Bundle Recommendations

The simplest personalisation approach is to use a customer's purchase history to determine which bundle products to highlight. A customer who previously bought a specific skincare product is a strong candidate for a bundle that includes companion products from the same range. Email marketing platforms like Klaviyo can use Shopify purchase data to send personalised bundle recommendations that show the specific products most likely to resonate with each customer.

Browsing Data and Bundle Relevance

Customers who have browsed specific product categories without buying are showing interest signals that can inform bundle recommendations. A customer who viewed 3 products from your coffee range but did not buy is a candidate for a coffee bundle email that shows exactly those products with the bundle discount applied. This relevance-first approach converts dormant browsers into buyers at rates that generic bundle emails cannot match.

Getting Started With Personalised Bundles

Start with your email platform's segmentation capabilities to send category-specific bundle emails to customers with relevant purchase history. Combine with Bundle MixMatch for the on-site bundle experience. See the email sequence guide and install for free.