Marketing Cloud
Journeys built on customer data you can trust.
A campaign is only as good as the data underneath it. Most Marketing Cloud problems are data problems wearing a marketing costume.
The usual failure
What usually goes wrong.
- The same customer exists three times, so they receive the same message three times.
- Consent is captured somewhere but not enforced at send time.
- Journeys are built once and never instrumented, so nobody knows which branch works.
What we deliver
Specifically, this.
Unified customer data model with a defensible identity resolution rule
Consent and preference management enforced at send time, not at capture time
Journey design with measurement built in from the start
Deliverability and domain reputation set up properly
How we work
Four phases, and you can leave after any of them.
Architecture review
A working session with the engineers who would deliver it. We map the current estate, the constraints, and where it will break at the next order of magnitude.
Design
Data model, integration surface, security model, and release strategy — written down, reviewed with your team, and agreed before anyone builds.
Build
Delivered in reviewable increments against automated tests, in environments that predict production.
Run
Handover to your team with the pipeline, the tests, and the documentation. Or we keep running it. Both are fine; being unable to leave is not.
Integration surface
Nothing on this platform lives alone.
Integration architecture is usually the hardest part of these programmes and where we spend the most design time. These are the systems this practice most often connects to.
- CRM and service history
- Commerce and order data
- Consent management platforms
- Analytics and attribution
Related practices
These usually travel together.
Bring us an architecture problem.
A working session with the people who would actually deliver it. No pitch deck.
Book an architecture review