Case Study · Healthcare · Media Agency
Specialist Agency Unifies 9-Source Marketing Data for a Healthcare Advertiser
From nine disconnected platforms to a single harmonised performance workspace — built for healthcare marketing reporting.

Nine disconnected data platforms with no unified measurement framework — the starting point before integration.
About the Client
Multi-channel healthcare advertising. Nine platforms. No unified view.
A specialist media agency managing multi-channel digital advertising on behalf of a large US-based healthcare organisation. Campaigns span programmatic, paid search, web analytics, ad serving, and social platforms. All data processed relates exclusively to marketing campaign performance — no patient data or PHI was ingested or stored.
Data Sources
The Challenge
Fragmented data. Broken integrations. No unified view.
The agency was managing campaigns across nine separate platforms with no unified view of marketing performance — making cross-channel optimisation and executive-level reporting nearly impossible.
- Nine siloed data sources with no harmonised dimensions or shared measurement framework
- No cross-channel attribution or ability to compare performance across paid, programmatic, and web analytics
- Creative performance invisible at a decision-making level — no visibility into copy, image, or CTA effectiveness
- No viewability or benchmark measurement layered across programmatic placements
Data Integration · Delivery
Nine sources. One harmonised workspace.
A platform integration that pulled every disconnected source into Datorama, harmonised it through a custom data model, and layered in benchmark-grade quality metrics.
Full Platform Integration
Connected all 9 data sources into Datorama, ingesting historical data from start of 2021 to establish a complete baseline for YoY and MoM analysis.
Custom Data Model
Built custom dimensions, measurements, classifications, and patterns to harmonise data across all sources into a single coherent measurement framework.
Custom Sprinklr Connector
Developed a custom connector to pull rich social insights and creative visuals — including copy, images, and CTAs — directly into the Datorama workspace.
Viewability & Benchmark Metrics
Layered IAS benchmark and viewability metrics sourced via Adelphic to provide programmatic quality measurement alongside performance data.

All 9 sources connected into a single harmonised Marketing Cloud Intelligence workspace via custom data model.
Dashboards & Deliverables
Two dashboards. Seven filters. Zero ambiguity.
With harmonised data in place, we shipped a complete reporting stack — from wireframe to live dashboards to launch documentation.
Stakeholder Wireframe
Delivered a preliminary wireframe before build — aligning stakeholders on layout, metrics, and visual structure prior to development.
Executive Dashboard
Top-line performance and goal pacing view — built for leadership reporting and campaign-level decision making.
Campaign Dashboard
Audience, channel, placement, and creative-level analysis including creative visuals, copy, and CTAs — all in one view.
7 Healthcare Filters
Campaign Name, Autho Code, Service Line, Business Unit, Channel, Flight Date, and Creative Concept — built for healthcare marketing workflows.
Full Documentation
Produced a complete solutions document, data dictionary, data flow diagram, and QA diagnostic report to validate data accuracy at launch.

Two production dashboards delivering executive goal pacing and campaign-level creative performance with 7 healthcare filters.
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The Impact
One workspace. Complete picture.
9
Sources Unified
Paid search, programmatic, ad serving, web analytics, and social all feeding one harmonised workspace.
2
Production Dashboards
Executive and Campaign-level views — time-series, goal pacing, audience, channel, creative visuals, and viewability.
7
Healthcare Filters
Business unit, service line, authorisation code, channel, and creative concept filtering built for healthcare workflows.
1 Yr+
Historical Data Ingested
All sources backfilled from start of 2021 — a full year of historical data ready for analysis at launch.
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