Increasing Listing Page Conversion

Increasing Listing Page Conversion

Increasing Listing Page Conversion

Helping CITY Furniture customers find products through thoughtful design improvements.

Helping CITY Furniture customers find products through thoughtful design improvements.

Jan 2025

Case Study

Overview

CITY Furniture is a furniture retailer based in Florida. This case study covers improvements made to their listing pages as part of a larger web optimization project.

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0.0%+

Conversion

Conversion

📉

-0.0%

Bounce rate

Bounce rate

⏱️

0.0%+

Time on page

Time on page

2 months pre/post comparison.

Contributions

Spearheaded the project launch driving the team towards solving key user challenges and ensuring a successful outcome.

Partnered cross-functionally with UX research to assist in uncovering key user pain points.

Worked closely with stakeholders to refine product strategy, balancing user needs with business goals.

Problem

01

Cluttered Navigation

Top-heavy menu structure consumed valuable screen real estate.

02

Inefficient Product Display

The grid layout made products cramped & reduced image sizes.

03

Complex Filtering

Filters included rarely used options and lacked organization.

Solution

Redesigned listing page experience

We tackled every user pain point (filtering, product cards & grid) head on and delivered an improved ecommerce experience.

Impact

Improved KPIs

Our initial goal was to improve conversion, bounce rate and slightly push our time spent on page. We managed to do all three.

I used Figma Make to create the initial UI layers. And built screens for each of the steps.

📈

0.0%+

Conversion

Conversion

📉

-0.0%

Bounce rate

Bounce rate

⏱️

0.0%+

Time on page

Time on page

Process

Competitive analysis

What do our competitors do?

I used Figma Make to create the initial UI layers. And built screens for each of the steps.

01

Traditional left sided filtering

Top positioned filtering was very uncommon.

02

Limited products to 2 or 3 per row

This is done to showcase products visually i.e. larger images.

03

Condensed multiple listings into single product cards

Competitors replaced multiple listings with single cards offering configurable color and fabric options.

UX research collaboration

Our UX team added qualitative insights by interviewing 5 CITY Furniture customers. Key pain points emerged:

I used Figma Make to create the initial UI layers. And built screens for each of the steps.

Overwhelming navigation options

Frustration over duplicate products (just different color variants)

Difficulty finding items while using filters

User goals

Intuitive browsing

Simple and efficient ways to explore products

+

Buying confidence

Gathering enough info to make an informed decision

Business goals

Increasing conversion

Reducing friction to improve conversion & AOV

+

Promoting discoverability

A wide selection demands effortless product access

Designs

PLP rows

A clean, spacious layout with 3 items per row (down from 4), giving each product room to shine without overwhelming users. (Desktop only)

Left-sided filter (desktop)

A sticky left-hand filter rail that’s easy to access but stays out of the way, replacing the clunky top-menu approach.

Product cards

Larger product cards (1:1 image ratio) with better imagery and prioritized details (like badging and swatch options).

Filtering experience

Clearer labels and visual feedback so users know exactly what they’ve selected. The pills highlight selections users made.

Filtering experience (mobile)

The same idea was carried over for mobile as well. The pill selections are visible on the PLP and the filter view.

Product card swatches removed for mobile browsing

Learnings

Working as a product team

We collaborated closely with the development team, holding extra check-ins to fine tune key interactions and flows, ensuring clear communication.

Working agile

Our approach created a faster, flexible workflow and a product that was aligned with team and business goals. This worked because:

No surprises: Constant collaboration meant fewer last-minute changes.

Faster iterations: Small, frequent handoffs kept momentum high.

Shared ownership: Devs contributed to the design’s success, and designers understood technical trade-offs.

Our listing pages today

Our improvements made shopping smoother, and user feedback continues to help improve it. The team is continually working on further improvements. See the latest version of our PLP here.

© 2026 Jaime Carrasco. All rights reserved.