From weekly exports to governed data flow.
Customer data was moving by weekly export. We replace those handoffs with governed pipelines, shared profiles, and operator-visible data flows.
Read the full case studyCustomer data infrastructure for commerce
Connect customer state before adding another tool.
We engineer the data paths between storefront, lifecycle, CRM, analytics, and paid media when point-to-point integrations stop scaling.
Customer state fragments as the stack grows.
Siloed Customer Data Everywhere
Email, ads, CRM, and storefront tools hold different versions of the customer.
Manual Data Stitching
Weekly exports turn live behavior into stale segments.
Tool Sprawl Without Architecture
More subscriptions create more handoffs without a defined source of truth.
Build one path for customer state.
- 01
Martech Audit
We map your entire martech stack: every tool, every data flow, every manual process. Where does customer data originate? Where does it get stuck? Where do tools overlap? You get a clear diagram of your current state and a gap analysis. - 02
CDP Implementation
We implement Segment (or your preferred CDP) as the central nervous system of your martech stack. Every customer interaction flows into unified profiles. Your customer data has one source of truth for the first time. - 03
Data Pipeline Design
We design the pipelines that move data from collection to activation. Customer data flows into your CDP, gets enriched with behavioral and transactional data, and feeds downstream tools in real time. - 04
Cross-Platform Orchestration
Your tools start working together. Email segments update in real time based on purchase behavior. Ad audiences sync with your CDP. Every channel draws from the same profile, the same segments, the same truth.
Only the infrastructure complexity requires.
CDP Implementation
Segment or equivalent with unified profiles.Data Pipelines
Architecture connecting all martech tools.Real-Time Segmentation
Behavioral, lifecycle, and RFM segments.Cross-Platform Orchestration
Email, ads, personalization, analytics.Custom Development
Dashboards, tools, and API integrations.Tag Management
Data layer governance.Identity Resolution
Across devices and channels.Documentation & Training
Ongoing optimization support.
Common questions
Do we need to replace our existing tools?
Usually not. The composable approach works with what you have. We connect your existing tools through a CDP - not replace them. If a tool isn’t pulling its weight, we’ll tell you. But the goal is to make your current stack work together, not start over.
What CDP do you recommend?
We most commonly implement Segment because of its broad integration library and real-time capabilities. But the right CDP depends on your stack, your data volume, and your budget. We’ll recommend the best fit during the martech audit.
What’s the difference between this and just buying a CDP?
A CDP is a tool. A composable martech stack is an architecture. Buying Segment without proper implementation is like buying a server without configuring it. We design the data model, build the pipelines, configure the integrations, and ensure every downstream tool gets the data it needs in the format it expects.
Can this work for agencies serving multiple clients?
Yes. We build composable martech architecture for agencies that need to deploy connected infrastructure across client accounts. White-label implementation, client-facing dashboards, and scalable data architecture that works across your client portfolio.
Give every commerce system the same customer state.
We will map identity, consent, order history, and lifecycle state before recommending another platform or integration.