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!