How RMN Helps Brands Win in Omnichannel Retail

Today's retail industry is no longer a ground war; it is more like a fully armed battle on land, sea, and air! With retail marketing technology advancing rapidly since the pandemic, whether companies can apply AI effectively has become a key issue for their operations!

Beyond internal challenges, external pressures keep mounting, including:

Social media advertising costs keep rising
Data privacy regulations have become stricter
The highly competitive market is very different from what it was five years ago
Consumer journeys are fragmented and scattered across online and offline channels
Ad placement channels are limited
Valuable user data is held by big tech companies
Traditional ad tracking technology is affected by privacy policies and is gradually losing accuracy

To address these problems, brands are generally looking for new marketing approaches to attract more users and are urgently seeking new advertising channels. In addition, as traditional ad technology becomes less accurate, brands have also begun trying new AI marketing technologies. Finally, brands that hold large amounts of data and operate both online and offline stores, but whose data is scattered, are now actively looking for effective tools to integrate and make full use of their existing member data.

Why Can LRMN Effectively Solve the Problems Facing Taiwan's E-commerce and Retail Industries?

In recent years, the retail media network (RMN), which breaks down the barrier between online and offline, has become key to solving these problems, allowing brands to reach consumers across every touchpoint.

RMN also unlocks the omnichannel traffic of retail brands, letting other brands place ads in their ad spaces, and provides real-time data analytics to deliver personalized ad content to specific audiences and improve ad effectiveness. If you are interested in the RMN concept, we introduced it in the first article of this column series, and we invite you to read it.

AviviD.ai, which serves more than 300 e-commerce brands, understands that e-commerce brands are finding precise marketing increasingly difficult because of the cookieless shift, consumer journeys scattered across online and offline channels, and steadily rising social media ad costs. As Taiwan's leading LRMN brand, AviviD.ai aims to build not just an RMN but an "LRMN" with location-based service (LBS). The "L" stands not only for LBS but also for Likr, the name of AviviD.ai's product. The goal is to connect online and offline brands so that small and medium-sized e-commerce brands in Taiwan can also join this major alliance and, while protecting member personal data, learn the off-site tags of their own members.

Why Can LRMN Solve the Problems Facing E-commerce and Retail Businesses?

First, omnichannel coverage: LRMN opens up omnichannel traffic, allowing brands to observe consumer behavior, including online and offline purchasing behavior, and understand consumers more completely.

Second, an AI-supported customer data platform (CDP): LRMN is built on first-party data in a CDP and uses AI data analytics and automation to help marketers find target audiences faster.

Third, a brand-new advertising channel: LRMN offers a new way to place ads that overcomes the loss of third-party cookies while protecting user data privacy, merging online and offline data and delivering ads based on it.

Built on AviviD.ai's proprietary technology, LRMN can deliver area-based LBS advertising, which pinpoints target customers more precisely and provides a more competitive solution!

LBS + RMN = LRMN: How Will It Create Richer Digital Experiences?

When RMN is combined with LBS targeting, it will bring richer digital experiences to our lives. Imagine that one day a fast-food chain in Zhongshan District launches a new product, and the brand wants to promote it to people who are "women aged 25 to 35," "have clicked a product coupon in the past three months," "live in Zhongshan District," and "have clicked on news about the new product launch," and who are near its fast-food outlets in Zhongshan District.

Brands that join LRMN can not only see their members' off-site behavior but also target ads at specific areas, such as "stores in Zhongshan District." Anyone within that area may receive ads from nearby stores, and even visitors who have previously been to the brand's website may be drawn back to it, bringing the brand a steady stream of traffic.

We believe that within five years LRMN will completely transform Taiwan's e-commerce, retail, advertising, and media industries, and the alliance of online and offline brands will keep expanding. This is why we are inviting brands of all kinds to join the Likr Marketing Alliance (LRMN)!

Taiwan's e-commerce and retail businesses can look forward to AviviD.ai, the leading LRMN brand, leading many online and offline brands in Taiwan to use LRMN for more precise, area-targeted ad delivery. We believe this will be the most effective marketing solution in the cookieless era!

Retail Media Networks (RMN) Lead a New Era of Omnichannel Marketing

With the rise of retail media networks (RMN), brands and retailers are entering a new era of precise omnichannel marketing. By integrating AI data analytics, location-based services (LBS), and first-party data, RMN not only offers a more effective ad delivery model but also helps companies overcome challenges such as the loss of cookies, rising ad costs, and data fragmentation.

Over the next five years, RMN is expected to transform Taiwan's e-commerce, retail, and advertising ecosystem and drive the continued expansion of online and offline brand alliances. With LRMN (LBS + RMN) technology, brands will be able to target consumers in specific areas precisely, increase conversion rates, and deliver more personalized digital marketing experiences.

AviviD.ai, as the leading LRMN brand, will continue to lead the market, helping more brands join the retail media network and together create the most effective marketing solution for the cookieless era!

Media coverage: Is "LRMN" the New Hope for Taiwan's E-commerce and Retail Industries?