Multivariate testing shipping costs — Personalization use cases
2026-02-28 19:01 Diff

Multivariate testing the shipping cost and threshold with multi-touch campaigns

Who:

Large discount retailer selling all items at a flat rate

Strategy:

In order to overcome the deterrent of high shipping costs for low priced items, the discount retailer used a single multivariate multi-touch test to identify the optimal flat shipping cost for any item at any cart value, leading to enhancements throughout the entire supply chain.

Hypothesis:

For brands looking to better optimize the checkout experience, appropriately matching the value of the items in the cart to the cost of delivery can have a massive impact on whether or not a shopper moves forward with a purchase. Through multivariate testing, marketers can identify which configuration of elements is the most successful in terms of conversions, whether it’s “Free Shipping” vs “$5 Flat Rate Shipping” or another combination of options.

What real growth looks like with personalization

  • How Valamar converts travel intent into bookings with real-time context

  • What makes Saks’ personalization engine a game-changer for driving 10% more conversions?

  • Bringing the in-store expert online: How Bergzeit reinvented gear discovery with conversational commerce

  • 32% of Total Purchases from AdaptML Recommendations

  • +88% Conversion Uplift with Mastercard Predictive Spend Insights

  • Making Personalization a Breeze for Leading Financial Institutions

  • +10.3% uplift in add-to-cart rate

  • 39% decrease in same-month cancellations

  • 16% contribution to D2C revenue from Dynamic Yield

  • 16% of revenue from recommendations