How Unified Patient Data Across Adobe, Tealium & CRM Increased Appointment Conversions by 47%
Fragmented data across web, app, and call center meant they couldn't see the full patient journey. We unified everything and unlocked smarter retargeting.
Fragmented data across web, app, and call center meant they couldn't see the full patient journey. We unified everything and unlocked smarter retargeting.
The patient journey was fragmented across 5+ touchpoints with no unified identity. Marketing was sending appointment reminders to people who had already booked. Analytics under-counted conversions by 34% because cross-device journeys weren't stitched. And retargeting was a mess.
Unify patient identity across web, app, call center, and in-clinic systems. Track the complete journey from first website visit through appointment completion. Enable smarter retargeting based on where patients drop off.
Health-conscious adults aged 35-65 seeking primary care, specialist consultations, and preventive health services.
We designed a persistent patient ID strategy using hashed email and phone number. Tealium AudienceStream became the source of truth for visitor/patient identity stitching.
We connected Adobe Analytics, Firebase, and Salesforce Health Cloud to Tealium. Now every touchpoint — web visit, app interaction, phone call, clinic check-in — is tied to a single patient profile.
We configured Adobe Analytics to track full patient journeys across devices and channels. Marketing could finally see that 43% of online bookings started on mobile but completed on desktop.
We built Tealium audiences for "appointment abandoned" and "booking incomplete" and connected them to email, SMS, and paid media retargeting. Conversion rates jumped immediately.
The solution delivered measurable improvements and satisfied users, proving the value of the design and engineering choices.
“We finally have a complete view of how patients interact with us across every channel. The impact on our marketing efficiency was immediate — we stopped wasting money on people who had already booked and started recovering appointments that would have been lost.”
Specific features and implementations that solved the problem.
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