Full journey mapping
Mapped the actual patient path across website, app, booking flow, and Salesforce to identify where attribution and visibility were breaking.
Healthcare · Cross-System Measurement Implementation
NextCare needed a cleaner view from ad click to confirmed booking.
NextCare needed a measurement system that could connect web, app, booking, CRM, and advertising signals into a single patient acquisition view the business could trust.
Context
NextCare operates a network of urgent care clinics across the U.S., with a digital acquisition journey that spans multiple systems and ownership layers.
Their environment included the website, mobile app, Salesforce, the Solv third-party booking platform, and Google Ads. Each system held part of the patient journey, but none provided a reliable end-to-end view.
The business didn't just need lead visibility. It needed to understand which channels were actually producing bookings and which of those outcomes could be trusted enough to drive optimization.
The problem
On the surface, the system looked active. Campaigns were running. Patients were booking. Records were landing in Salesforce.
But once the team tried to answer a simple question— which campaigns are actually driving confirmed patient outcomes?—everything started to break apart.
Website conversions didn't match what showed up in the booking platform. App activity sat outside the main acquisition story. Salesforce had downstream patient data, but no clean line back to the original source.
Google Ads was being asked to optimize on incomplete signals. Marketing had visibility into pieces of the journey, but not the full path from click to booking to outcome.
The issue wasn't that tracking didn't exist. It was that the journey had been fragmented across systems.
What was actually broken
This wasn't one implementation gap. It was a cross-system measurement problem.
Conversions were split across the website, mobile app, Solv, and Salesforce. Different systems used different signals, different timestamps, and different assumptions about what counted as success.
- No consistent link between ad click, session, booking, and CRM record
- Offline outcomes were not feeding back cleanly into ad platforms
- Event definitions varied across systems and teams
- Web and app journeys were measured separately
- Optimization relied on proxy conversions rather than real outcomes
So even when numbers existed, they couldn't be trusted enough to confidently scale spend or compare channel performance.
The approach
We approached NextCare as a cross-system measurement architecture problem—not a tagging cleanup. The goal was to connect the patient journey in a way the business could actually operate on.
Unified conversion framework
Defined what counts as a conversion, how bookings should be measured, and how events should flow between systems.
Identity and continuity logic
Improved how ad click data, session activity, booking confirmations, and CRM records connect across the journey.
Server-side signal layer
Introduced server-side routing to capture cleaner signals and deliver more reliable conversion inputs into Google Ads and the broader analytics layer.
Offline conversion integration
Connected booking and patient outcome events back into the media stack so optimization could be based on actual business results.
Blueprint and governance
Delivered a structured reference for event logic, data flow, integration points, and validation—so the system could be maintained, not just launched.
Implementation
Execution spanned multiple systems at once. This wasn't a single tracking deployment—it was a coordinated rollout across web, app, booking, CRM, and advertising infrastructure.
- GTM restructuring for web measurement
- Server-side event routing and signal cleanup
- Integration with Solv booking flow
- Salesforce mapping and conversion alignment
- Google Ads offline conversion setup
The goal wasn't just to collect more data. It was to make the journey measurable end-to-end in a way that supported marketing, operations, and leadership.
Outcome
The biggest change wasn't just better reporting. It was end-to-end visibility into what was actually producing patient outcomes.
The team could now trace acquisition from ad click through booking flow and into downstream systems with far more confidence. Google Ads began receiving stronger optimization signals, and discrepancies between systems became smaller—and, just as importantly, explainable.
Internally, the conversation shifted. Less time was spent asking which system was right. More time was spent deciding what to do next.
For NextCare, the measurement system started reflecting how patient acquisition actually worked—not just how the website behaved.