Criteo Data Reveals That Lunar New Year Shopping in Southeast Asia Has Moved Online, But Traditions Still Respected

Criteo Data Reveals That Lunar New Year Shopping in Southeast Asia Has Moved Online, But Traditions Still Respected

Mobile apps continue to be dominant channel for retail sales

Singapore – February 5, 2018 – Criteo (NASDAQ: CRTO) the commerce marketing technology companytoday released seasonal data from 2017, in anticipation of Lunar New Year, to help commerce providers better engage shoppers during the festive season.

The company’s deep-dive into shoppers’ online purchasing activities revealed that preparations for the Lunar New Year began right at the start of the year, with online sales showing a general increase from 4 January 2017 onwards and a decline five days before the first day of festivities. In line with shopping habits during this season, the fashion and food categories saw a 50 percent increase in online sales.

The findings are based on analysis of 3.5 million online transactions made on key commerce providers  aggregated online platforms, including mobile apps, desktop web and mobile web, in Singapore, Taiwan and Vietnam before, during and after Lunar New Year in 2017.

“In the lead up to Lunar New Year, we often see sales increases in certain categories as people shop for new clothes and stock up on festive treats. Increasingly, they are now also making these purchases online, particularly on mobile apps, which means that commerce providers need to focus their digital budgets on the right platforms and at the right time. To reach shoppers who use multiple devices and channels, it requires that the largest possible data sets are employed, and that online and offline data are connected. Criteo’s technology allows commerce providers to engage shoppers with relevant experiences on both apps and third-party platforms, thereby directly driving sales and profits,” said Alban Villani, General Manager, Southeast Asia, Hong Kong and Taiwan, Criteo.

Other key findings from Criteo’s analysis of shopping behaviour in the Southeast Asia region include:
  • The peak shopping period for Lunar New Year 2017 was from 4 to 22 January across all categories
  • During this period, the fashion and food categories saw the biggest sales uplift:
    • Food – 53 percent sales increase
    • Fashion – 45 percent sales increase
  • From 23 January onwards, there was a negative growth in online sales through Lunar New Year, which fell on 28 and 29 January
  • Mobile apps saw the biggest sales uplift, compared to desktop and mobile web, and will continue to be an important channel for retailers to engage with shoppers
  • Taking the fashion category as an example, the sales uplift from 4 to 22 January are:
    • Mobile apps – 56 percent increase
    • Desktop web – 41 percent increase
    • Mobile web – 23 percent increase

“It’s good to see that Lunar New Year traditions such as shopping for clothes and food are still respected, although shoppers are now doing it online. The decline in online sales close to Lunar New Year could signify that people are spending more time with family and friends. It is important for retailers and brands to recognize these trends. With shoppers on an online shopping spree two to three weeks before Lunar New Year, retailers need to start promoting and advertising from three to four weeks in advance to earn their attention. For SEA retailers, this means that they already had to be increasing their online marketing spend across all platforms from as early as mid-January this year,” added Villani.


About Criteo:
Criteo (NASDAQ: CRTO), the leader in commerce marketing, is building the highest performing and open commerce marketing ecosystem to drive profits and sales for retailers and brands. 2,700 Criteo team members partner with 17,000 customers and thousands of publishers across the globe to deliver performance at scale by connecting shoppers to the things they need and love. Designed for commerce, Criteo Commerce Marketing Ecosystem sees more than $550 billion in annual commerce sales data. For more information, please visit

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