Customer loyalty is in flux right now. Customers are researching which brands to support—and many are jumping ship.
Why?
Because they expect unparalleled personalization (think Netflix and Amazon) on cue. 56% of customers expect personalization from brands in exchange for re-ordering.
But for brands, high levels of personalization mean mining key customer details across data sources and customer touchpoints and turning them into experiences. To add fuel to fire, departments often work in silos, creating patchy customer journeys. In fact, 66% of teams view other departments as competitors—not colleagues.
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Enter Customer Data Platforms (CDPs). In this article, we'll look at how they can enhance customer insights and elevate your marketing strategy.
What is a Customer Data Platform?
Customer data platforms (CDPs) are software solutions that consolidate customer data from different systems into a single unified database.
They create 360-degree customer profiles, enabling brands to understand their customers’ journeys, segment their audiences, and power their marketing initiatives with reliable data.
CDPs work by connecting to various sources and aggregating their customer data in one place. Typical sources include analytics tools, customer relationship management systems (CRMs), content management systems (CMSs), point-of-sale (POS) devices, APIs, customer service solutions, and email marketing platforms.
People sometimes confuse Customer Data Platforms (CDPs) with Customer Relationship Management Platforms (CRMs) and Data Management Platforms (DMPs). Here are some key differences:
Feature | Customer Data Platform (CDP) | Customer Relationship Management (CRM) | Customer Data Management (CDM) |
---|---|---|---|
Primary purpose | Unifying customer data across the organization | Managing customer relationships and sales processes | Collecting and managing audience data for advertising |
Data sources | Integrates data from multiple sources (online/offline) | Primarily collects and manages customer interaction data | Collects anonymous data from various sources |
Data type | Both identified and anonymous data | Identified data (customer profiles and interactions) | Anonymous data (cookies, device IDs) |
Data storage | Centralized and persistent database | Customer profiles and transactional data | Segmented audience data stored temporarily |
Personalization support | High (enables personalized marketing campaigns) | Moderate (based on customer interaction history) | Low (focuses on segmentation for ads) |
Integrations | Extensive (marketing automation, analytics, CRM, etc.) | Integrated with sales and support tools | Integrated with ad networks and DSPs |
Customer view | 360-degree view (holistic customer profiles) | Detailed view of customer interactions and history | Aggregated and segmented audience view |
User base | Marketing, customer success, and business intelligence teams | Sales, customer service, and marketing teams | Advertisers and digital marketers |
Use cases | Personalization, customer journey mapping, segmentation | Sales tracking, customer support, relationship management | Audience targeting, programmatic advertising |