Chow Sang Sang Case study

Chow Sang Sang leverages Deep Learning to generate 27% higher average order values

Deep Learning-powered ads help capitalize on seasonality, drive growth

Client
Industry
fashion icon
Fashion

27%

Higher AOV

10%

Site orders attributed to RTB House

Introduction

About the client

Chow Sang Sang Jewellery operates over 1,000 stores in Greater China. The company has had an ecommerce presence since 2001 and continues to expand its omnichannel experience. Chowsangsang is cooperating with RTB House through an agency.

What they say about us

"We’re very happy with RTB House performance so far, and we now work closely with them to run our retargeting campaigns, which continue to bring stable conversions to our overseas markets."

Fai Leung

Associate Director, Omni Channel Business Integration, Chow Sang Sang Jewellery Co. Ltd

DESCRIPTION

The challenge

Order volumes on the Chow Sang Sang Jewellery site fluctuate daily during promotional periods. This can make it difficult to predict campaign scale and budget. RTB House had to maintain cost per acquisition, adjust campaign performance to seasonal trends, and drive up average order values to further boost revenue.

story

The solution

In partnership with Chow Sang Sang Jewellery, RTB House teams worked on targeting users from countries the client listed as critical to expansion. The campaigns followed seasonal shopping trends and festivals throughout the year to capitalize on those busy periods. Our dedicated account management team tracked campaign performance in real time, identified opportunities, and quickly adapted to emerging trends.

Success

The result

Over the course of the campaign, RTB House generated 27% higher average order values for the company. Additionally, 10% of site orders came through RTB House ads. 95% of product conversions came from products viewed before. Chow Sang Sang Jewellery was impressed that RTB House was able to scale up campaigns during promo events on the site and during seasonal shopping periods. Precise product recommendation and user targeting through the use of Deep Learning contributed to the success of the campaigns.