Public Health solutions
Marketing Attribution for Public Health
If you're investing in marketing attribution for public health agencies, you've probably already seen a few proofs-of-concept that never made it to production. Beryl Analytics specialises in the messy middle — turning prototypes into reliable systems your operators actually use.
Why public health teams choose Beryl Analytics for marketing attribution
- Built for compounding value. Each marketing attribution engagement leaves public health agencies with infrastructure that accelerates the next one — shared feature stores, reusable pipelines, documented data contracts.
- Real handover. We pair your team into the build from day one. By go-live, they own the system. We're optional from then on.
- Practical AI. We've shipped LLM-augmented analytics where they help, and stayed with simpler models where they outperform. Hype is not a strategy.
- Audit-friendly. Every model decision is traceable. Compliance and risk teams stop blocking — they start enabling.
- Track record. 1,000+ models in production. Across heavy-industry, regulated, and consumer domains.
How we deliver marketing attribution engagements
- 01
Discovery (week 1-2)
We meet your operators, map data sources, and pressure-test the business case. Half the value is sometimes in killing the wrong initiative and reframing the right one.
- 02
Pilot build (week 3-6)
One vertical slice end-to-end: ingest, model, dashboard, monitoring. Real data, real users, measurable result before we expand.
- 03
Productionise (week 7-12)
Hardening, governance, lineage, runbooks, observability. Pair-programmed with your team so they own it by handover.
- 04
Scale & evolve
Expansion into adjacent use cases, retraining cadence, model performance reviews, and a roadmap that compounds.
Frequently asked questions about Marketing Attribution for Public Health
How long does a typical Marketing Attribution engagement take for a public health business?
Most marketing attribution projects for public health agencies land a working production slice within 4-6 weeks, then harden and expand over the following 8-12 weeks. Larger public health programmes that touch multiple business units take 4-6 months end-to-end.
What data do you need to start a Marketing Attribution project in public health?
Minimum viable inputs are 12-18 months of historical transactional or operational data, basic entity reference tables, and access to the systems that will consume the output. We can work with messy data — cleaning is part of the engagement.
Can Beryl Analytics integrate marketing attribution with our existing public health agencies systems?
Yes. We're tool-agnostic and have integrated with Snowflake, BigQuery, Databricks, Salesforce, SAP, Oracle, custom in-house platforms, and dozens of public health-specific systems. Insights surface inside the tools your operators already use.
How do you measure success on a Marketing Attribution engagement?
Before we model anything, we agree the business decision the output will change and the dollar metric we're targeting — revenue lifted, cost avoided, or risk reduced. Marketing Attribution engagements in public health typically return 4-12x within the first year.
Do you work with public health businesses outside major NZ and AU cities?
Yes. We deliver remotely across New Zealand and Australia and visit on-site for discovery, key workshops, and go-live. Distance is not a blocker — many of our highest-impact marketing attribution engagements have been with regional public health agencies.