Put companies on watchlist
Appier
ISIN: JP3160960005
WKN: A2QRY3
Curious about what AI knows about Appier? Just one click more
More AI Integrations
About
Company Snapshot
New: Enable Investor Alerts
Be informed about new publications
New: AI Factsheet

Corporate News meets AI! 
Content analysis and summary

Appier · ISIN: JP3160960005 · EQS - Company News (7 News)
Country: Hongkong · Primary market: Japan · EQS NID: 2125442
28 April 2025 11:00AM

L’Oréal Powers Up SkinCeuticals’ eShop Growth with Appier’s AI-Driven Advertising and Marketing Solutions



EQS Newswire / 28/04/2025 / 11:00 CET/CEST

HONG KONG SAR - Media OutReach Newswire - 28 April 2025 - Appier, a leading AI-native AdTech and MarTech company, announced its successful collaboration with L'Oréal, which was recognized at the Loyalty & Engagement Awards Hong Kong 2025 in the "Best Use of Customer Insights/Data Analytics" category for the AI-powered transformation of SkinCeuticals' eShop.

625711-L-Ore-al-Appier-SkinCeuti.jpeg
Appier's AI-driven solutions empower L'Oréal to accelerate SkinCeuticals' eShop growth.

This award highlights the success of a full-funnel, data-driven strategy that delivered measurable business outcomes and set a new benchmark for AI applications in beauty e-commerce. In partnership with Omnicom Media Group (OMG) and powered by Appier's Ad Cloud and Personalization Cloud, L'Oréal significantly enhanced SkinCeuticals' marketing performance, achieving a 152% quarter-over-quarter increase in ROAS, a 400% uplift in CVR among hesitant users, and a 48% boost in total on-site revenue.

"Appier helped us accelerate AI transformation in advertising and marketing, boosting revenue contributions while enhancing operational effectiveness," said Maggie Hui, SkinCeuticals & Kérastase E-Commerce Manager at L'Oréal. "From behavior-triggered campaigns and time-limited incentives to advanced segmentation and seamless user journeys, Appier's technology played a crucial role in turning data insights into action."

Appier's AI solutions enabled L'Oréal to strategically identify and engage high-value customer segments. The Ad Cloud applied advanced segmentation, behavioral analysis, and time-sensitive offers to strengthen purchase intent and improve ad efficiency. At the same time, the Smart Conversion Optimizer within the Personalization Cloud identified hesitant users and delivered personalized incentives that maximized coupon performance while protecting profit margins.

These capabilities were further supported by data-informed promotional strategies. L'Oréal scaled back incentives during high-demand periods such as 618 Summer Sale and Double 11, and increased engagement during quieter seasons to maintain conversion momentum. This strategic modulation of intensity helped sustain both growth and profitability.

"We're proud to empower L'Oréal through our AI-driven solutions," said Magic Tu, SVP of Global Sales at Appier. "Our mission is to help businesses turn AI into ROI, and this collaboration with L'Oréal is a strong example of how data and technology can drive measurable impact across the marketing funnel."

As AI becomes a core part of brand strategy, this case highlights the power of combining deep customer insights with intelligent automation, unlocking sustainable growth through innovation.
Hashtag: #Appier #AI #business #MarTech #AdTech #BeautyIndustry #Ecommerce

The issuer is solely responsible for the content of this announcement.

Appier

Appier (TSE: 4180) is an AI-native SaaS company that empowers businesses to create value with cutting-edge AdTech and MarTech solutions. Guided by the vision of "Making AI Easy by Making Software Intelligent," Appier's mission is to help businesses turn AI into ROI. Appier is listed on the Tokyo Stock Exchange's Prime Market and operates in 17 cities worldwide. Visit www.appier.com for more company information, and ir.appier.com/en/ for more IR information.


225647
News Source: Appier

28/04/2025 Dissemination of a Financial Press Release, transmitted by EQS News.
The issuer is solely responsible for the content of this announcement.

Media archive at www.todayir.com

MIC: XJPX
Power-Shortcuts

Appier Group, Inc.

This publication was provided by our content partner EQS3.

EQS Newswire
via EQS - Newsfeed
EQS Group AG ©2025
(DGAP)
Contact:
Karlstraße 47 D-80333 München
+49 (0) 89 444 430-000

P R O D U C T   S U G G E S T I O N S

The information presented here has been provided by our content partner EQS-Group. The originator of the news is the respective issuer, the company relating to the news, a publication service provider (press or information agency) which uses the distribution service of EQS to transmit company news to shareholders, investors, investors or interested parties. The original publications and other company-relevant information can be found at eqs-news.com.


The information you can access does not constitute investment advice. The presentation of our cooperation partners, where the implementation of investment decisions would be possible depending on the individual risk profile, is solely at the discretion of the person using the service. We only present companies of which we are convinced that the range of services and customer service will satisfy discerning investors.

If you are considering leverage products, familiarise yourself with the typical characteristics of the financial instruments beforehand. Take the time to determine the risk content of the planned investment before making an investment decision. Bear in mind that a total loss cannot be ruled out with leverage products.

For newcomers to the subject, we offer various options in both the training and the tools section, through which you can train theoretical knowledge and practical experience and thus improve your skills. The offer ranges from participation in webinars to personal mentoring. The range is continuously being expanded.


1 Lab features are usually functionalities that emerge from the think tank of the investor community. In the early stages, these are experimental functionalities whose development process is largely determined by use and the resulting feedback from the community. When integrating external services or functionalities, the functionality can only be guaranteed to the extent that the individual process elements, such as interfaces, interact with each other.