Case study

Customer data platform (lite)

Identity resolution, segment builder, and reverse ETL to marketing tools—without a six-figure enterprise CDP contract.

dbtBigQueryHightouch

Overview

Customer data platform (lite)

Scope, timeline, and context—how the work was framed before a single sprint shipped.

A pragmatic CDP: one profile per customer, traits computed in the warehouse, and syncs to Hubspot and ad platforms.

Organization

Northline Labs

Duration

4 weeks

Project type

RevOps data layer

Role

Data integrations

Case study

How we got there

From constraint to release: the problem, the approach, the build, and what changed after go-live.

The problem

Marketing used three tools with conflicting emails; sales trusted none of them; engineering refused another all-in-one black box.

The approach

We defined identity rules in dbt, scheduled trait jobs, and exposed a simple UI for segments and sync health.

The solution

GTM teams build audiences with SQL-backed confidence; ops sees sync failures before campaigns misfire.

Product views

Customer data platform (lite)

Interface moments that show hierarchy, density, and polish—the same bar we bring to stakeholder reviews.

Discuss a similar project
Unified profile with traits and timeline.
Segment builder with filters.
Sync health dashboard by destination.

Results

The result

Outcomes we optimize for: less manual work, faster decisions, and software that stays trustworthy in production.

Time-to-first-unified-view hit weeks not quarters; duplicate sends dropped; the team avoided a bloated vendor lock-in.

Duplicate sends

−62%

Email campaigns

Segment build time

−80%

Median minutes

Sync uptime

99.5%

30-day window

Next step

Want a build like this?

We scope in milestones, ship in slices, and keep communication crisp—so your roadmap stays honest.