Treasure Data FAQ

Should we buy a CDP or build a custom solution from scratch? Should we prioritize customization or flexibility?

Buying a CDP: Typically quicker to implement, offers built-in integrations and functionalities, and minimizes the need for extensive in-house technical expertise. However, it may have limitations in customization tailored to unique business processes. 
Many organizations are trending towards buying, as SaaS solutions like Treasure Data CDP offer flexibility and scalability without requiring significant upfront investment in development. Built-in functionalities, regular updates, and support ensure businesses can adapt quickly to changing market demands without extensive overhead. 

Building a Custom System: Provides maximum flexibility and customization to meet specific business needs, but involves significant time, costs, and resources. It requires skilled personnel for development and ongoing maintenance.
Businesses may consider building a custom CDP when they have unique data privacy needs, regulatory requirements, or specialized workflows that off-the-shelf solutions cannot adequately address. Additionally, having existing data expertise can make building a viable option.

How long does it take to implement a CDP?

The timeline varies based on factors like the number of data sources, customer profile volume, and use cases. With Treasure Data's plug-and-play integrations and pre-configured connectors, initial implementation typically takes just a few weeks to a couple of months.
More complex needs, such as custom integrations or advanced use cases like real-time personalization, may take longer. Our extensive partner ecosystem and dedicated support team help streamline the process, ensuring you see value from your CDP as quickly as possible.

CDPs are described as marketer-friendly. Can we manage the CDP ourselves?

Yes! Treasure Data CDP is built for both technical and marketing teams. Its intuitive, marketer-friendly interface simplifies key tasks like segmentation, campaign management, and multi-channel orchestration with easy drag-and-drop actions.
Marketers can also leverage built-in tools like Predictive Scoring, RFM analysis, and detailed dashboards to optimize strategies with minimal technical input. While collaboration with data teams may be needed for advanced analytics or custom integrations, Treasure Data’s ongoing support ensures seamless scaling as your needs evolve.

How can I improve data quality when using a CDP to ensure insights and analysis are reliable?

Treasure Data ensures reliable insights by centralizing and unifying data from multiple sources into a single, dynamic customer view. This holistic approach enhances data accuracy, consistency, and trust across tools and departments. 
With real-time updates and robust integration, Treasure Data empowers your team to make informed, data-driven decisions. Dynamic reports help identify inconsistencies or gaps, enabling quick corrective actions to maintain high-quality data and reliable analyses.

How can a CDP improve advertising and marketing efficiency?

By enabling precise audience targeting and better allocation of the marketing budget, a CDP helps improve marketing ROI. 
Optimizing ad campaigns and creating unified customer profiles are often the primary use cases during the early adoption of a CDP for marketing purposes.

If my business is already performing well with omnichannel marketing on platforms like Facebook and WhatsApp, what additional value can a CDP provide?

It’s great that your business is managing channels and multi-channel activations successfully, but without a CDP, this often involves significant manual effort, as each platform operates differently and audience interactions aren’t centralized.

A CDP like Treasure Data can act as the foundational system for managing audience data, synchronizing activations across platforms, and providing deeper insights. It reduces duplicative ad spend, personalizes customer interactions across touchpoints, and avoids reliance on third-party platforms for audience data.
It can also expand your capabilities by enabling analytics, predictive scoring, lookalike audience growth, and next-best-action suggestions tailored to customer journeys."

What are the common use cases for a CDP?

Each business may have different goals and objectives when implementing a Customer Data Platform (CDP), leading to variations in use cases tailored to specific industry needs. Particularly, the distinct customer journeys and challenges encountered may require a strategic approach to utilizing a CDP.

Common use cases for CDPs include:

• Customer Segmentation: Brands can use CDPs to create detailed customer profiles for targeted marketing campaigns based on demographics, purchasing behavior, and engagement history.
• Personalization: Businesses can deliver personalized product recommendations and promotions, enhancing the customer experience at every touchpoint.
• Customer Journey Orchestration: CDPs allow businesses to map out customer journeys and automate interactions across various channels (e.g., email, social media, in-store), ensuring a seamless experience.
• Multi-Channel Campaign Management: Brands can manage and synchronize marketing efforts across multiple platforms, addressing customers where they engage the most.

Examples in some specific industries with their common use cases:

• A Retail brand may implement a CDP to analyze shopping behaviors and create personalized loyalty programs, ultimately driving repeat purchases.
• An FMCG brand can use predictive analytics within their CDP to identify the next-best-action for promotions, thereby improving customer retention.