CHALLENGES
When customer data is fragmented across systems, everything downstream suffers. Profiles are incomplete, lifecycle stages are invisible, segmentation runs on stale fields, and lifetime value is impossible to model with confidence.
Support, sales, and marketing each see partial customer views and spend energy reconciling them instead of acting on them.
Customer activity is captured across systems, but no team has the complete view of where each customer is in their journey.
Audiences and campaigns get built on the fields that happen to be available, not the ones that would actually predict response.
Decisions about acquisition, retention, and investment get made without a defensible view of which customers, cohorts, or channels deliver the most value over time.
Approach
We build Customer 360 platforms as part of a Data Foundations engagement, integrating data from your core systems into a unified profile that powers lifecycle tracking, segmentation, and customer lifetime value modeling.
01
Current state assessment and source system mapping
02
Identity resolution and unified profile modeling
03
Lifecycle, segmentation, and customer lifetime value logic
04
Analytics layer deployment and user enablement
The output is a production-ready Customer 360 platform your team can act on, along with the data models, integration patterns, and operational best practices.
Applications
Variant
Built for
Variant
Built for
Marketing and revenue teams powering personalized outreach, segment activation, and lifecycle management
Variant
Built for
Higher Education enrollment, retention, and advancement teams managing the full student and donor lifecycle
Variant
Built for
Higher Education advancement teams building unified donor profiles to strengthen relationships and drive fundraising
Accelerator
For organizations ready to move faster, we deploy the Customer 360 Accelerator, a set of pre-built assets that reduce time to value compared to a custom build.
What's included
Pre-built customer entity schemas, relationship models, and transformation logic.
Reusable pipeline patterns for common CRM, marketing, support, and commerce data sources.
Work plans, migration playbooks, and data quality rules refined across multiple deployments.
Purpose-built variants for Marketing, Higher Education, and Healthcare & Life Sciences.
Process
01
Current state assessment and source system mapping
02
Accelerator configuration and data integration
03
Data model validation and quality assurance
04
Analytics layer deployment and user enablement
FAQ
Timeline depends on the number of source systems, data quality, and organizational complexity. Most engagements run two to four months from kickoff to a production-ready platform. The Customer 360 Accelerator can shorten that timeline meaningfully when the underlying data sources match what it's built for.
Out-of-box Customer 360 products ship with a vendor's schema, identity logic, and modeling. They work when your data fits that schema and struggle when it doesn't. We build a custom data foundation on top of your existing systems that reflects how your business defines a customer, a lifecycle stage, and lifetime value. Any downstream system, including an out-of-box CDP, runs more effectively on top of it.
Marketing, customer experience, support, sales, and finance all rely on customer data to do their jobs. Customer 360 serves all of them from a single source rather than asking each team to maintain its own version of the truth.
No. Customer 360 sits on top of your existing CRM, marketing, support, and commerce platforms and integrates their data. The goal is to use your investments more effectively without adding another system to maintain.
