Singapore

SaturdayClub

Services

CRO & CRM

Industry

Fashion

Year

2024

First 3 months post-launch

+10%

Conversion Rate

+10%

Conversion Rate

+4%

ATC to Checkout Rate

-35%

Item Return Rate

Bringing the CRO team on board has been a great move for us. As we continue to grow across APAC, it’s been important to have a partner who really understands how to optimize the customer journey and move quickly. What I appreciate most is how practical and data-driven the team is. They don’t just throw ideas around. Everything is tested, measured, and focused on what actually moves the needle. It’s been a very smooth partnership so far, and we’re excited to keep building on the momentum together.

Ying Tze Her

Chief Operating Officer @ SaturdayClub

Overview

CRO Case Study

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Founded in Singapore, SaturdayClub designs modern, high-quality pieces for the contemporary woman, driven by signature workwear edits, designer prints, and frequent new arrivals that keep the brand fresh across seasons. The brand moves quickly and serves customers across multiple regions, there is a strong opportunity to refine the digital experience. With diverse shopper needs and constant product updates, CRO becomes key to improving product discovery, sizing clarity, and the overall path to purchase.

Before

After

Before

After

Before

After

The Challenges

High returning customer base, but member sign-up growth is not keeping pace
‍
New customer acquisition is growing slow, regardless strong repeat-purchase behavior.
High item return rate due to sizing complexity with multiple colors and variants
‍
‍Vague sizing guide as products often use different models per variant. Traditional size recommendation tools are not practical with frequent product launches.
Users lack visibility on ongoing discount or thresholds, reducing AOV
‍
‍No in-cart reinforcement or progress indicator, making it hard to understand potential savings.

Key Objectives

Boost Member Acquisition & Activation
Improve Fit Confidence & Reduce Returns
Increase Average Order Value (AOV) Through Transparency

The Solution

Reward sign-ups with early-access sale experiences.
Provide dynamic, variant-level sizing guidance.
Show discounts and cart incentives with clear progress cues.

Sale Early-Access Experience for Logged-In Customers

Acquisition growth relied heavily on organic sign-ups due to a lack of compelling incentives for users to register. To address this, we introduced a locked sale collection page that requires users to log in or sign up to access exclusive deals, creating a clear value exchange and motivating higher sign-up intent.

Results:
+68% sign-up rates within 24 hours

No items found.

Improving Fit Confidence Through Variant-Level Intelligence

Because each color/variant uses different models, the PDP previously showed only one static model size, which led to incorrect sizing assumptions and contributed to higher returns. To solve this, we built a dynamic model size display that automatically updates whenever a shopper selects a different variant or color, ensuring sizing context stays accurate throughout the purchase journey.

Results:
-35% Return Rates
Higher fit confidence → fewer returns → higher conversions.

No items found.

Results That Speak for Themselves

We focus on tangible outcomes—not just design for design’s sake. Here’s what our clients typically see after we launch or revamp their Shopify websites:

+10%

Conversion Rate

+4%

ATC to Checkout Rate

-35%

Item Return Rate

Better user experience = better results across sales and marketing performance, including higher ROAS for ad campaigns.

SaturdayClub

Ying Tze Her

Chief Operating Officer @ SaturdayClub

The Challenges

High returning customer base, but member sign-up growth is not keeping pace
‍
New customer acquisition is growing slow, regardless strong repeat-purchase behavior.
High item return rate due to sizing complexity with multiple colors and variants
‍
‍Vague sizing guide as products often use different models per variant. Traditional size recommendation tools are not practical with frequent product launches.
Users lack visibility on ongoing discount or thresholds, reducing AOV
‍
‍No in-cart reinforcement or progress indicator, making it hard to understand potential savings.