Customer Data Platforms
Best Customer Data Platforms for B2B SaaS
Unify customer data across your entire tech stack. CDPs help you build complete customer profiles and activate that data for personalized marketing and sales.
Customer Data Platforms for B2B SaaS
As B2B SaaS companies grow, customer data spreads across dozens of systems - your product, CRM, support platform, payment provider, marketing tools, and more. Customer Data Platforms unify this data into complete customer profiles that power personalized experiences.
Types of CDP Solutions
Data Collection CDPs (Segment, mParticle, Rudderstack): These platforms collect data from your product and website, then route it to downstream tools. They serve as the data layer for your entire stack.
Reverse ETL / Data Activation (Hightouch, Census): These tools take data from your data warehouse and sync it to business applications. They assume you already have data in a warehouse.
Data Enrichment (Clearbit): These platforms enhance your existing customer data with additional information like company firmographics and contact details.
CDP + Email Marketing
CDPs and email marketing platforms work together to enable sophisticated personalization:
- CDP collects behavioral data from your product
- Data flows to your email tool (like Sequenzy) in real-time
- Email sequences trigger based on unified customer profiles
- Engagement data flows back to the CDP for a complete view
Sequenzy's native SaaS integrations mean you may need less CDP infrastructure for email marketing specifically, as it already understands your payment and subscription data.
When Do You Need a CDP?
Consider investing in a CDP when:
- You have 10+ tools that need customer data
- Engineering is spending significant time on data integrations
- You cannot answer basic questions about customer behavior
- Personalization is limited by data availability
- You are building a data team or have a data warehouse
Early-stage companies can often manage with direct integrations between tools. CDPs become valuable as complexity increases.