54x ROAS for real-time engagement campaigns with BigQuery
Handles massive traffic spikes with Google Kubernetes Engine
Automatic marketing cycle with Gemini, campaigns run and adapt in real time
beBitTECH unified data for real-time customer action, resulting in a 3x conversion uplift and 54x ROAS.
beBitTECH unified data for real-time customer action, resulting in a 3x conversion uplift and 54x ROAS.
Unlocking customer data to power smarter action
In Asia’s competitive retail market, companies often face a familiar challenge: outdated technology that slows down marketing strategies.
The biggest hurdle is fragmented data. Customer information from ecommerce platforms, loyalty programs, and chat apps sits across multiple systems, making it difficult to form a unified view of their behavior and preferences. Consolidating this data requires time-consuming manual work and constant IT support.
To solve this, beBit TECH selected Google Cloud to build a sophisticated, all-in-one solution from the ground up. Google Cloud provides all the necessary components (such as Google Kubernetes Engine, BigQuery and Vertex AI) in a single, unified ecosystem, removing the headache of stitching together tools from different vendors.
If brands try to manage it themselves, it requires massive resources. Human effort alone cannot sustain a continuous loop of personalized communication.
Puffer Kao
Chief Technology Officer, beBit TECH
Puffer Kao, chief technology officer at beBit TECH, explains the two major roadblocks the company faced before switching platforms. First, scattered data prevents truly personalized messages in real time, especially during high-traffic sales events. Second, marketers cannot respond instantly when customers click a link or browse a page, breaking the essential “plan-do-check-act” cycle and stopping campaigns from improving automatically. “If brands try to manage this on their own, it requires massive resources. Human effort alone cannot sustain a continuous loop of personalized communication,” says Kao.
Code-free command, architecting customer flow
To close the gap between marketing strategy and execution, beBit TECH developed a simple, no-code customer data platform (CDP) built for speed and intelligence. The platform runs entirely on Google Cloud, leveraging Google Kubernetes Engine to handle massive traffic spikes, BigQuery to store and analyze customer data at scale, and Vertex AI to manage complex AI and machine learning workflows.
Many brands have a marketing strategy and good ideas, but they don’t have a platform to put every step into action. Our system gives them the ability to do what they always wanted to do.
Puffer Kao
Chief Technology Officer, beBit TECH
The system’s core intelligence relies on Google AI capabilities. It integrates data from third-party tools using an Agent-to-Agent (A2A) model, feeding it into Gemini for advanced audience segmentation and product recommendations. For creative content, beBit TECH develops features with Imagen, Veo, and Virtual Try-On to help brands quickly generate marketing copy and visuals.
The impact on marketing teams is immediate. For instance, the marketing team at local skincare brand Cha Tzu Tang can use the CDP to identify dormant customers who have not made a purchase in the past 90 days and leverage the customer journey map to target them for re-engagement.
When the customers visit the website, the system automatically sends LINE or email recall messages with exclusive offers without requiring any IT support.
For Versuni, a home appliance brand, beBit TECH integrates first-party data into its CDP to better understand customer needs, powering a personalized engine that delivers precise product content and recommendations in real time. By connecting insights to action, the platform enables instant personalization and large-scale automated follow-up. “Many brands have a marketing strategy and good ideas, but they don’t have a platform to put every step into action. Our system gives them the ability to do what they always wanted to do,” says Kao.
From strategy to success, quantifying the closed-loop value
The platform turns customer insights into action, driving real results in real time. For Cha Tzu Tang, the platform automatically identifies consumers' preferred communication channels and runs campaigns, achieving an average 54x Return on Ad Spend (ROAS). In specific scenarios like abandoned-cart recovery, ROAS can reach 507, showcasing the power of automated, personalized marketing. The platform also utilizes LINE, email, and SMS to drive customers to complete their purchases either on the official website or in stores, tailoring its approach to the marketing goals of different major sales periods.
For Versuni, the platform drives both new and repeat customer growth. New customer sign-ups increased by 1.23 times, online revenue rose by 55%, and repeat purchase rates doubled, showing how personalized experiences drive engagement and revenue.
Looking ahead, beBit TECH expands into new sectors, leveraging Google Cloud’s security and compliance features to bring the platform into the financial services industry. The company deepens its investment in GenAI, building on the same foundation that powers its current CDP.
We focus on bringing GenAI into this area, alongside our existing data and channel resources, to help brands do better marketing.
Puffer Kao
Chief Technology Officer, beBit TECH
The team explores Gemini for advanced data analysis and campaign automation, and Imagen and Veo for creative content generation. Integrated through Vertex AI, these capabilities make predictive modeling and personalized marketing seamless.
“We focus on bringing GenAI into this area, alongside our existing data and channel resources, to help brands do better marketing,” says Kao. “With Google Cloud’s secure, scalable platform, we can keep innovating while maintaining the reliability our clients depend on.” This ongoing synergy keeps the platform ahead, enabling even heavily regulated industries to thrive.
beBit TECH is a MarTech firm evolved from CX consulting. It provides an advanced, no-code customer data platform to unify complex online-to-offline data and automate highly personalized, data-driven marketing campaigns for large-scale retail and finance clients.
Industry: Technology
Location: Taiwan
Products: BigQuery, Gemini, Google Kubernetes Engine, Vertex AI
