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Ann'S Boosts ROAS by 30% with AI Marketing and Data Integration

  • Industry Category Apparel
  • Product Category OmniSegment
Introduction

About Ann'S

Founded in 2003, Ann'S specializes in women's footwear, combining in-house design and pattern-making with exquisite craftsmanship to create shoes that are both stylish and comfortable. The brand has not only garnered the favor of numerous female celebrities and models, but has also amassed a large base of loyal female customers, establishing Ann'S as a significant player in the women's footwear market.

Ann'S aims to break the stereotype that "beautiful shoes are uncomfortable". The brand designs fashionable shoes to accommodate various sizes and foot shapes, offering a range of categories from casual footwear to stylish shoes and handcrafted wedding shoes. Ann'S meets all women's footwear desires and aspirations, becoming the ultimate shoe consultant for women seeking the perfect blend of style and comfort.

24%

Increase in Open Rates

60%

Increase in Click-through Rates

30%

ROAS Growth

Goals and Challenges

Creating Personalized, Automated, and Brand-Specific Marketing Communication for Loyal Customers

Integration of Diverse Customer Data

With nearly two decades of brand operation, Ann'S has accumulated a vast and complex customer database, through various communication channels, with records on diverse customer purchase data, information, and so on. As such, the brand seeks a comprehensive data integration solution to effectively manage their extensive customer database, allowing for a better understanding of customer preferences and further optimizing customer experience.

Enhancing the Effectiveness of Customer Communication

After data integration, the next step is to leverage these data to continuously engage in brand communication and conversion, creating a healthy and robust marketing system that generates more revenue. As customer information span across different channels for Ann'S, such as email, phone numbers, and Line IDs, coordinating push notifications required collaboration with various vendors, which resulted in expensive communication costs for Ann'S.

Additionally, maintaining the quality of marketing communication involves delivery of messages through the right channel and frequency. This has become Ann'S biggest challenge in ensuring effective and comfortable interactions with its customers.

The Solution

Integrating Diverse Data and Utilizing AI-Driven Predictions to Identify the Optimal Marketing Channels

In 2021, Ann'S became a client of beBit TECH, anticipating new breakthroughs in customer management through the integration of multiple data sources with the OmniSegment CDP system.

Comprehensive Customer Data Integration Platform, Unifying Data from Multiple Sources

OmniSegment CDP assists Ann'S in integrating membership, product, and order data with behavioral and marketing data into a unified platform. By utilizing API connections, all data can be updated in real-time, effectively resolving the issue of scattered customer information. This integration allows the brand to efficiently conduct subsequent tracking and application, enhancing the overall effectiveness of customer management and marketing efforts.

Identifying the Optimal Communication Channel with AI-Prediction for Smart Delivery

Based on each customer's past interaction, OmniSegment CDP can assist brands in determining the most suitable communication method. Through navigating to OmniSegment CDP's built-in "Puffer AI" AI-prediction module and the "AI Smart Channel Selection" node under the "Smart Messaging" feature, Ann'S was able to have access to each customer's messaging history and analyze each interaction data before delivering messages to customers. This analysis identifies the most frequently interacted channels for each member, ensuring messages are sent through the most effective medium. For example, if Customer A has not recently opened EDMs but frequently clicks on messages from the LINE official account, the OmniSegment CDP system will automatically be prompted to send messages to Customer A via LINE. This approach reduces the cost of ineffective messaging and creates more precise and positive interactions with customers.

The Results

By utilizing the "AI Smart Channel Selection" feature of OmniSegment CDP to deliver personalized push notifications to each customer, Ann'S achieved a 24% increase in open rates and a substantial 60% increase in click-through rates. Overall, Ann'S ROAS significantly improved by 30%. These improvements in Ann'S key metrics validate that, with the assistance of OmniSegment CDP's "Puffer AI" prediction module, the brand was not only able to effectively reduce marketing push notification costs, but also instill high quality customer interactions, bringing about growth in their overall actual revenue!

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