Work

Driving higher UPT

through smarter

in-cart bundling

Teams

Product, Merchandising, CX, Engineering

Tools

Figma, Baymard Institute, Eppo

Year

2025

Overview

Huckberry’s core products drive a significant portion of both revenue and long-term customer loyalty. While many of these products supported bundle pricing, that value was primarily communicated on product listing and product detail pages.

Once customers reached the cart, bundle opportunities were largely invisible — meaning many shoppers completed checkout without realizing they could add complementary items at a discount.

This project focused on introducing cart-based bundling in a way that felt timely, contextual, and low-friction, while protecting checkout momentum and maintaining a premium brand experience.

Final cart experience highlighting a core product and in-cart bundle offer at the moment of purchase.

My Role

I led UX and UI design for the cart bundling initiative, owning the experience from early concept through final execution.

I partnered closely with Merchandising and Engineering to ensure the solution balanced business goals, technical constraints, and checkout usability.

Responsibilities included:

  • Researching bundling patterns across ecommerce brands
  • Synthesizing findings into a clear strategic recommendation
  • Collaborating with Merch to define bundle logic and rules
  • Partnering with Engineering to work within pricing, inventory, and variant constraints
  • Designing the end-to-end cart bundling experience

The Impact

+3.12% Increase in UPT
Established a scalable bundling framework

The Problem

Despite strong performance from core products, customers rarely purchased multiples in a single transaction.

Bundle pricing existed, but visibility was limited to PLP and PDP badging — meaning customers often reached the cart without realizing a bundle was available. At the same time, introducing new merchandising elements into checkout carried risk:

  • Disrupting checkout momentum
  • Reducing trust through overly promotional patterns
  • Overloading users during a high-intent moment
  • Compounding visual complexity on mobile
Prior to this work, bundle messaging was only surfaced on PLPs and PDPs.

Core Challenges

The core challenge was not whether to recommend, but how to introduce contextual suggestions without breaking flow or confidence—balancing system, design, and trust constraints at a moment of high purchase intent.

  • Support multiple bundle rules (e.g., Buy 2 Save X, Buy 3 Save Y)
  • Clearly differentiate suggested bundles from items already in the cart
  • Design for mobile-first constraints
  • Respect pricing, inventory, and variant limitations

Research & Direction Setting

Competitive & Industry Research

I reviewed bundling and cart patterns across a range of ecommerce brands. While many surfaced add-ons or bundles, most implementations suffered from at least one of the following:

  • Too many options presented at once
  • Disruption to checkout flow
  • Lack of clarity around pricing or value
Competitor bundle examples
Industry examples showing bundle patterns across landing pages, PDPs, and cart experiences.

To ground decisions, I also referenced Baymard Institute research around cart behavior, hierarchy, and cognitive load. While Baymard does not explicitly cover bundling, its findings around friction and decision fatigue strongly informed our approach.

Baymard bundle research example

Key Insights

Together, these inputs helped shape a direction that prioritized clarity and momentum over aggressiveness.

01.

Visibility must be earned

Bundle offers performed best when introduced subtly, not aggressively.

02.

Moment of commitment matters

Users were most receptive immediately after adding an item to cart.

03.

Fewer choices perform better

Presenting one relevant bundle outperformed multiple options.

04.

Checkout momentum is fragile

Anything that felt sales-driven reduced trust and engagement.

Internal Collaboration

To validate direction and constraints, I worked closely with:

  • CX, to understand common friction around sizing and adding multiples
  • Engineering, to define feasibility around inventory and pricing logic
  • Merchandising, to align on core product strategy and bundle rules

This ensured the solution was grounded in real business and technical constraints, not just UX theory.

Iteration & Learning

Early exploration focused on testing how much information users could process without slowing checkout. We explored:

  • Different visual weights for the bundle module
  • Multiple placement options within the cart
  • Expanded vs. collapsed default states
  • Levels of detail shown upfront vs. progressively

Through iteration and testing, it became clear that simplicity outperformed richness.

Early exploration testing different bundle message placements within the cart.
Variant example presenting the bundle offer in a slider-based layout.

Final Experience

1. Contextual Bundle Reveal

The bundle module appears shortly after an item is added to cart, reinforcing relevance without interrupting momentum.

2. Clear Value Communication

Bundle savings are clearly labeled and reflected in pricing, helping users understand both the offer and the benefit at a glance.

3. Size & Variant Handling

Variant selection is handled inline with clear availability states, keeping the cart clean while supporting complex inventory rules.

Results & Reflection

This project reinforced the importance of restraint in high-intent moments.

By positioning bundling as a helpful suggestion — rather than a sales push — we increased engagement without compromising trust or usability.

Outcomes

Overall, the work demonstrated how thoughtful merchandising, paired with strong UX fundamentals, can drive meaningful business impact without compromising user trust.

  • +3.12% increase in UPT
  • Established a scalable cart bundling framework
  • Strong engagement from mobile users
  • Positive early indicators across conversion and add-to-cart behavior

While the experiment did not reach full statistical significance within the test window, performance trended positively across all key metrics. More importantly, it established a repeatable, low-risk pattern for future merchandising initiatives.

Reflection

This work highlighted how effective merchandising depends as much on when something is shown as what is shown. By respecting user momentum and designing with clarity over persuasion, we were able to drive measurable impact without compromising the checkout experience.

Next Case Studies

Let’s build thoughtful products together.