Cart Experience Improvements
Cart Experience Improvements
Iterative improvements to cart and checkout experience that increased average order value, conversion rate, and value perception.
Iterative improvements to cart and checkout experience that increased average order value, conversion rate, and value perception.
TEAM
1 PD + 1 SPD + 1 PM
1 PD + 1 SPD + 1 PM
TIMELINE
3 + 1.5 + 3 weeks
3 + 1.5 + 3 weeks
Platform
Mobile - Android, iOS & Web
Mobile - Android, iOS & Web
Company
Noon Minutes
Noon Minutes
Cart Experience Improvements
Iterative improvements to cart and checkout experience that increased average order value, conversion rate, and value perception.

What are we solving?
What are we solving?
The cart page had a few gaps: 1. There was no real estate for relevant product recommendations. 2. Users sending orders to someone else had no way to ensure the delivery call went to the receiver, not themselves. 3. There was little visibility into how much users were monetarily saving before checkout. 3 separate briefs, 1 shared surface, all with one goal: to level up the cart experience.
The cart page had a few gaps: 1. There was no real estate for relevant product recommendations. 2. Users sending orders to someone else had no way to ensure the delivery call went to the receiver, not themselves. 3. There was little visibility into how much users were monetarily saving before checkout. 3 separate briefs, 1 shared surface, all with one goal: to level up the cart experience.
The cart page had a few gaps: 1. There was no real estate for relevant product recommendations. 2. Users sending orders to someone else had no way to ensure the delivery call went to the receiver, not themselves. 3. There was little visibility into how much users were monetarily saving before checkout. 3 separate briefs, 1 shared surface, all with one goal: to level up the cart experience.
How did we solve it?
How did we solve it?
We introduced 3 distinct sections to cart: 1. Cart recommendations to surface relevant products and open up monetisation opportunities. 2. Receiver details, enabling users to add a recipient so delivery communication goes to the right person. 3. Order savings summary to surface the value a user is getting before they check out. Each was designed and shipped independently, and all three were A/B tested before full rollout.
We introduced 3 distinct sections to cart: 1. Cart recommendations to surface relevant products and open up monetisation opportunities. 2. Receiver details, enabling users to add a recipient so delivery communication goes to the right person. 3. Order savings summary to surface the value a user is getting before they check out. Each was designed and shipped independently, and all three were A/B tested before full rollout.
We introduced 3 distinct sections to cart: 1. Cart recommendations to surface relevant products and open up monetisation opportunities. 2. Receiver details, enabling users to add a recipient so delivery communication goes to the right person. 3. Order savings summary to surface the value a user is getting before they check out. Each was designed and shipped independently, and all three were A/B tested before full rollout.
The Process
The Process
Key Considerations
Key Considerations

3-tab structure was not working
3-tab structure was not working
3-tab structure was not working
Only 2% of users were navigating past the first tab in our 3-tab recommendations section. While the design was space efficient, it was just not working. We dropped the tabbed structure and rethought how recommendations were surfaced.
Only 2% of users were navigating past the first tab in our 3-tab recommendations section. While the design was space efficient, it was just not working. We dropped the tabbed structure and rethought how recommendations were surfaced.
Only 2% of users were navigating past the first tab in our 3-tab recommendations section. While the design was space efficient, it was just not working. We dropped the tabbed structure and rethought how recommendations were surfaced.

Poor horizontal scroll depth
Poor horizontal scroll depth
Poor horizontal scroll depth
Users were scrolling vertically far more than horizontally, which is typical user behaviour. We made the switch knowing it would increase page length, but with ~70% of users already reaching the bottom of the cart, the tradeoff was acceptable.
Users were scrolling vertically far more than horizontally, which is typical user behaviour. We made the switch knowing it would increase page length, but with ~70% of users already reaching the bottom of the cart, the tradeoff was acceptable.
Users were scrolling vertically far more than horizontally, which is typical user behaviour. We made the switch knowing it would increase page length, but with ~70% of users already reaching the bottom of the cart, the tradeoff was acceptable.

Visibility for Favorite SKUs
Visibility for Favorite SKUs
Visibility for Favorite SKUs
Despite low tab engagement, the Favorites tab had the highest ATC rate. So we moved those suggestions upfront on the page and reinforced education around other Favourites entry points in the cart.
Despite low tab engagement, the Favorites tab had the highest ATC rate. So we moved those suggestions upfront on the page and reinforced education around other Favourites entry points in the cart.
Despite low tab engagement, the Favorites tab had the highest ATC rate. So we moved those suggestions upfront on the page and reinforced education around other Favourites entry points in the cart.

Monetised content got its own slot
Monetised content got its own slot
Monetised content got its own slot
There was no existing space for monetised SKUs on the cart, and mixing it with personalised recommendations would conflate two different intents. To avoid that, we carved out a dedicated section for it to keep the two distinct.
There was no existing space for monetised SKUs on the cart, and mixing it with personalised recommendations would conflate two different intents. To avoid that, we carved out a dedicated section for it to keep the two distinct.
There was no existing space for monetised SKUs on the cart, and mixing it with personalised recommendations would conflate two different intents. To avoid that, we carved out a dedicated section for it to keep the two distinct.

Visually separating recommendations from cart items
Visually separating recommendations from cart items
Visually separating recommendations from cart items
We noticed that a few of our competitors were auto-adding products to cart, which is a dark pattern, and received backlash for good reason. We wanted our recommendations to feel helpful, not manipulative, so the suggested items are always kept visually distinct from what's already in the cart.
We noticed that a few of our competitors were auto-adding products to cart, which is a dark pattern, and received backlash for good reason. We wanted our recommendations to feel helpful, not manipulative, so the suggested items are always kept visually distinct from what's already in the cart.
We noticed that a few of our competitors were auto-adding products to cart, which is a dark pattern, and received backlash for good reason. We wanted our recommendations to feel helpful, not manipulative, so the suggested items are always kept visually distinct from what's already in the cart.

Receiver details needed an end-to-end solve
Receiver details needed an end-to-end solve
Receiver details needed an end-to-end solve
While the brief was just for the cart page, this feature needed to reflect across Checkout, Addresses, Order Confirmation, and Order Tracking pages. We expanded scope deliberately to build a consistent end-to-end experience.
While the brief was just for the cart page, this feature needed to reflect across Checkout, Addresses, Order Confirmation, and Order Tracking pages. We expanded scope deliberately to build a consistent end-to-end experience.
While the brief was just for the cart page, this feature needed to reflect across Checkout, Addresses, Order Confirmation, and Order Tracking pages. We expanded scope deliberately to build a consistent end-to-end experience.

A feature with no numbers to justify it
A feature with no numbers to justify it
A feature with no numbers to justify it
The Order Savings Summary section was being built to drive affordability perception, and no hard business metric was attached to it. This made it difficult to get engineering bandwidth, which directly shaped how much time we spent designing and how lean we kept the development ask.
The Order Savings Summary section was being built to drive affordability perception, and no hard business metric was attached to it. This made it difficult to get engineering bandwidth, which directly shaped how much time we spent designing and how lean we kept the development ask.
The Order Savings Summary section was being built to drive affordability perception, and no hard business metric was attached to it. This made it difficult to get engineering bandwidth, which directly shaped how much time we spent designing and how lean we kept the development ask.

A/B testing was our safety net
A/B testing was our safety net
A/B testing was our safety net
The cart is seen by all users. Adding new sections and reorganising a high-intent functional page carried real risk. Testing each addition independently, and ramping recommendations gradually, gave us the confidence to roll out everything.
The cart is seen by all users. Adding new sections and reorganising a high-intent functional page carried real risk. Testing each addition independently, and ramping recommendations gradually, gave us the confidence to roll out everything.
The cart is seen by all users. Adding new sections and reorganising a high-intent functional page carried real risk. Testing each addition independently, and ramping recommendations gradually, gave us the confidence to roll out everything.
Final Designs
Final Designs


the
the
experience
experience
that went
that went
live
live
Outcome



• Releasing cart recommendations gradually to our users initially reduced cart-to-checkout conversion due to first-time exposure effects, but metrics stabilized as users adapted. • Receiver Details continues to see steady usage among a small segment, indicating sustained value despite limited adoption. • Order Savings Summary is a perception-led addition with no hard metric tied to it, reinforcing the need to anchor even perception-led features to measurable outcomes.
• Releasing cart recommendations gradually to our users initially reduced cart-to-checkout conversion due to first-time exposure effects, but metrics stabilized as users adapted. • Receiver Details continues to see steady usage among a small segment, indicating sustained value despite limited adoption. • Order Savings Summary is a perception-led addition with no hard metric tied to it, reinforcing the need to anchor even perception-led features to measurable outcomes.
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