AviviD Likr RMN: Data-Driven Advertising That Helps Even Beginners Reach the Right Audience

What Is RMN? A New Revolution from Data Traffic to Precision Advertising

In today's retail industry, the retail media network (RMN) is becoming central to marketing strategy, and what drives it is the power of data. If traditional advertising casts a wide net, RMN precisely targets the fish that actually want something and puts the product in front of them right when they are ready to buy. Why will this advertising model become the trend of the future? Let's start with a few of its core advantages.

The Rise of RMN: A New Ecosystem for Data-Driven Advertising

As data technology advances, retailers have unprecedented insight into consumer behavior, and RMN is a model that uses these insights to make ad delivery precise. Unlike traditional media, RMN has several key characteristics: it is data-driven, reaches audiences precisely, and adjusts in real time. These characteristics allow retailers, brands, and media not only to improve delivery efficiency but also to maximize the value of their data.

The power of data is RMN's core advantage. In the past, advertising had to rely on third-party data, which delivered limited results, and consumers are placing more and more importance on privacy. With RMN, retailers can use their own first-party data to build their own audience profiles, making ads more precise while also reducing privacy risk. As personal data regulations become stricter, consumers trust personalized recommendations from merchants more, and brands can break through advertising barriers at lower risk.

Advantages of AviviD's Likr RMN System: Letting Data Speak

AviviD's Likr RMN system is more than an ad delivery platform. It gives retailers a complete set of data application tools and combines them with the media data AviviD has integrated, creating Taiwan's largest first-party data traffic pool. This helps retailers identify potential customers from large volumes of data and create personalized ad experiences. Three key features make it stand out in the RMN field:

1. Precise Data Insights

AviviD's Likr RMN system makes full use of the data retailers already hold, extracting behavior patterns from every consumer transaction and every click. Advertisers can find customers who are genuinely interested in their products at a lower cost and improve campaign results.

2. Automated Recommendations and Optimization

Using AI, the system automatically generates the best ad content and dynamically adjusts ad placement and frequency so that ads always appear at the most effective moment. Whether on the shopping cart page or during checkout, Likr RMN optimizes based on consumer behavior, making ads part of the shopping experience.

3. Real-Time Data Feedback and Performance Reports

Every ad interaction is tracked in real time and compiled into performance reports, so advertisers can adjust their strategy at any time based on actual results. Likr RMN's data feedback system provides not just numbers but insights, allowing advertisers to respond more flexibly to market changes.

AviviD Likr RMN data sources, data pool integration, and delivery channels

A Brand Advertising Case Study and the Likr RMN Approach

AviviD's Likr RMN system divides ad delivery into three main stages. Using the case of a large brand retailer, the following explains how each step of Likr RMN is driven by data to ensure that advertising is precise and efficient.

1. Data Collection and Target Audience Analysis

Using the retailer's own first-party data, the Likr RMN system can analyze information such as consumers' shopping behavior, location, and purchase frequency. For its Double 11 (November 11) campaign, this large retailer used Likr CDP (customer data platform) to build several audience segments, including:

(1) Highly active app users: These users open the app more than 5 times a day on average and respond strongly to brand promotions.

(2) Regular in-store freshly brewed beverage customers without the app: These customers mainly shop in physical stores, but they respond to discounts and have a conversion rate as high as 37%.

Target audience analysis helps brands identify target consumers more precisely and lays the foundation for subsequent ad delivery.

2. Ad Delivery and Dynamic Optimization

Likr RMN integrates the retailer's physical and online resources, such as digital signage in stores, push notifications in the brand's app, and social media ads, to deliver ad content where consumers are most often reached. For example, based on consumers' shopping behavior, the system sends a push notification offering "39% off beverages" to customers who have previously bought beverages, encouraging them to buy again.

What sets it apart is real-time data feedback: once an ad goes live, the system tracks metrics such as click-through rate and conversion rate and dynamically adjusts ad content and placement based on the results. For example, after finding that highly active users responded well to discounts, the system concentrated resources on delivering more promotional messages, ensuring that every dollar of the ad budget is spent where it is needed most and maximizing results for the brand.

3. Data Feedback and Performance Tracking

Throughout the Double 11 campaign, GA4 was used for end-to-end tracking. It showed that the conversion rate of "regular in-store freshly brewed beverage customers without the app" was twice the average, while discount-sensitive audiences had high click-through rates but lower conversion rates. These insights helped the brand adjust its subsequent ad copy and delivery strategy, for example by recommending that warm-up campaigns start earlier to maximize results.

The 2024 Double 11 campaign successfully delivered data-driven advertising results:

(1) Exposure: Digital signage and social media promotions achieved a total reach of more than 3 million.

(2) Traffic: App push notifications and promotional articles generated 80,000 link clicks.

(3) Conversion: The best-performing CDP segment, "regular in-store freshly brewed beverage customers without the app," reached a conversion rate of 37%.

With its precise data analysis and omnichannel integration capabilities, Likr RMN improved both sales and brand results in just three days, making this one of the best RMN case studies.

Through Likr RMN, media can also gain deep insight into their audiences' behavior and preferences and create content that closely matches consumer needs.

AviviD Likr RMN's data-driven model for precise ad delivery across media, platforms, and data sources

RMN Advantages for E-Commerce Beginners and Media: Low Barrier to Entry, High Results

For businesses just getting started in e-commerce, RMN is an essential solution. Compared with traditional advertising, RMN's precision and data-driven capabilities significantly increase the return on ad spend. Because the Likr RMN system automates everything, it lowers the barrier to entry for newcomers and lets beginners focus on their core products, so advertising serves sales more directly.

For media, Likr RMN provides stronger data support, helping them better understand audience needs in both content and advertising. During the Double 11 campaign, RMN data analysis showed that the main audience was women and office workers aged 20 to 40, so copy and visual design were optimized for each platform. This made the ads more appealing, fit them into consumers' daily lives, and improved engagement, creating value for both content and commerce.

Market Trends: E-Commerce and Media Move Toward Data-Driven Advertising

As more and more brands and retailers adopt RMN, the RMN market will grow rapidly over the next few years. According to the 2024 Taiwan RMN Ecosystem Report, the Taiwanese market has already built a solid foundation in its digital advertising transformation. AviviD's RMN business also continues to expand into Southeast Asia, integrating media data and increasing and accelerating the overall market's acceptance of data applications.

Retailers and brands need advertising strategies that respond quickly to consumer demand. AviviD's Likr RMN is an ideal tool that turns data into real market results; through precise data insights, automated ad optimization, and real-time performance feedback, it realizes the full potential of RMN. Whether for e-commerce newcomers just starting out or media partners looking for new opportunities, AviviD's one-stop marketing solution can support the shift to data-driven advertising and help the retail media network ecosystem mature.

RMN Leads a New Era of Data Marketing, and the Future of Precision Advertising Is Here

With the rapid rise of RMN (retail media networks), brands and retailers are entering a new era of data-driven marketing. With AviviD's Likr RMN, businesses can make effective use of first-party data, from audience insights to precise delivery to dynamic optimization, improving ad conversion rates and marketing effectiveness across the board.

Going forward, as AI technology advances and privacy regulations tighten, RMN will continue to play a key role in helping brands stand out in the digital advertising market. For new e-commerce businesses and media companies, RMN also offers a low-barrier, high-return advertising solution. Now is the time to connect your advertising strategy with data technology and embrace the marketing transformation that RMN brings!

Media coverage: AviviD Likr RMN Lets Data Speak, So Even Beginners Can Easily Find the Right People