Composable CDP Implementation: Data Platform as CDP
TL;DR: Many companies pay high licensing fees for a separate Customer Data Platform, even though their customer data already lives in their own data warehouse. Composable CDP implementation solves this: data is activated directly from the existing data stack, without duplicate storage, vendor lock-in, and months-long onboarding projects. Adam Greco (Hightouch) and Jörg Hopmann show how this works in their joint webinar on June 17, 2026.
Many companies face the same challenge: customer data sits securely in their data stack. Complete, up to date, well structured. And yet the marketing team waits weeks for an IT ticket just to sync a simple campaign audience. While the campaign is on hold, competitors are already capturing leads.
This is not an isolated case. In practice, we see it regularly: the missing data is rarely the problem. What’s missing is the direct path from data to campaign. That’s exactly where the Composable CDP comes in. And that’s what our webinar on June 17, 2026, together with Hightouch, is all about.
For a deeper look at why traditional CDPs are structurally reaching their limits, our blog post “Why the Composable CDP Is Replacing the Traditional CDP” covers the fundamentals. This post focuses on what companies can concretely expect from a Composable CDP implementation.
Why Traditional CDPs Become a Growth Bottleneck
Cloud data platforms like Snowflake or BigQuery are today the central source of truth for customer data in many organizations. Web events, CRM data, offline transactions, support histories: everything lands there. And yet, for campaign activation, a separate platform is often purchased that copies exactly these data points into its own system all over again.
The consequences include:
- Duplicate data storage across two systems with different update cycles
- Licensing costs for features the company never fully uses
- Vendor lock-in that makes switching costly and time-consuming
- IT dependency for every new audience synchronization
The question is no longer whether the platform has the data. The question is why the direct path to the campaign is still missing.
Webinar: Roadmap to Composable CDP Implementation
In the upcoming webinar together with our partner Hightouch, we cover the topic from two angles: the strategic market perspective and the practical implementation side.
Part 1: WHY Composable CDP (Adam Greco, Hightouch)
Adam Greco, Product Evangelist at Hightouch and one of the most experienced analysts in the global data industry, presents 10 reasons why your data platform is the superior foundation for a modern data activation strategy. Three key aspects upfront:
- AI readiness: AI models need complete, historically deep data. These live in the platform, not in a CDP copy with limited data retention.
- Time-to-value: Instead of waiting six to twelve months for the first campaign, a warehouse-native CDP uses existing data models directly. First use cases are live within weeks.
- Lower total cost: No rigid licensing of unused features and no artificial rationing of data for cost reasons.
Part 2: HOW Composable CDP (Jörg Hopmann, Hopmann Marketing Analytics)
In the practical part, our CEO Jörg Hopmann demonstrates the concrete implementation and shows how to turn a data warehouse from a passive store into a true AI-ready impact stack:
- From data point to use case: How relevant data is defined via customer journey mapping, data sources are cleanly integrated (data ingestion), and usable CDP-ready data models are built.
- Maximizing business impact: What structured use case evaluation looks like, and how the data stack is enriched with predictive features such as Customer Lifetime Value (LTV), churn scores, propensity scores, and cross-domain audiences.
- Privacy & compliance from day one: Why cross-channel consent states and GDPR rules must be anchored directly in the data warehouse, so that compliance processes are structurally embedded and don’t become a blocker later.
Details and concrete architecture examples are available live in the webinar.
Webinar: 10 Reasons Why Your Data Warehouse Is the Better CDP
June 17, 2026 · 11:00 AM CEST · 45 minutes · Language: English
Adam Greco (Hightouch) presents 10 reasons for a platform-native CDP. Jörg Hopmann shows what Composable CDP implementation looks like in practice. Can’t join live? Register and receive the recording automatically afterwards.
Register for freeWhat marketing decision-makers ask most often.
FAQ on Composable CDP Implementation
Why is a cloud data platform the better foundation for a CDP?
A cloud data platform like Snowflake or BigQuery offers unlimited scalability, full data control, and is already the central source of truth for customer data. Through the Composable approach, data is activated directly where it sits securely, without copying sensitive customer data into external third-party systems. This improves data security, reduces infrastructure costs, and enables a data activation strategy that scales with the business.
What is the difference between a Composable CDP and a traditional CDP?
Traditional CDPs store customer data in their own proprietary system. That means duplicate data storage, constrained data models, and vendor lock-in. A Composable CDP inverts this: all data stays in your own data warehouse, and activation happens modularly via best-of-breed tools. A detailed comparison is available in the Hopmann blog post on Composable CDP.
What makes Hightouch one of the leading solutions for data activation?
Hightouch is one of the most widely used data activation platforms in the Reverse ETL (Reverse Extract, Transform, Load) space. The platform syncs data models from the warehouse directly into over 200 marketing and sales tools, without complex API development. Marketing teams work through a visual audience builder, while data engineers retain full technical control.
What does a Composable CDP implementation with Hopmann look like?
As a certified Hightouch partner for the DACH region, Hopmann supports the full journey: from use case identification and technical audit through architecture and implementation to operational activation, governance, and Hightouch training. Engagements typically begin with a structured workshop in which business case, data availability, and initial use cases are evaluated together.
What advantage does the Hopmann and Hightouch partnership offer?
By combining Hightouch’s platform expertise with Hopmann’s years of hands-on experience in marketing data stacks, time-to-value is significantly reduced. Clients benefit from proven frameworks that ensure the implementation is precisely aligned with their business goals and existing data infrastructure.
What data stack is required to get started?
The primary prerequisite is an existing cloud data platform, such as Snowflake, BigQuery, Databricks, or Redshift, where relevant customer data is consolidated. Organizations should aim to own their Customer Identity Graph within this platform infrastructure. A native activation engine like Hightouch then sits directly on top of this data stack to operationalize the segments. What a realistic minimum setup looks like is covered by Jörg Hopmann in the webinar.