Revenue intelligence for paid ads

Revenue Intelligence for Healthcare Ads

Connect ad clicks to attended appointments and revenue, then push better signals back to ad platforms to improve performance.

Built for practices spending $10k+/month on paid media.

What "ROAS" should mean in healthcare

If ROAS is based on lead volume alone, it is not an ROI metric. For paid healthcare marketing, ROAS should be grounded in collected revenue tied to actual patient outcomes.

Old definition

Platform-reported conversions and assumptions.

Revenue intelligence definition

Paid spend mapped to attended patients and collected revenue.

How it works (data flow)

Step 1

Capture lead + identifiers

When a paid ad creates a call or form lead, we capture source and campaign data so each lead has a clear origin.

Step 2

Match to appointment + outcome

We connect lead records to attended appointments and downstream outcomes in your existing operating systems.

Step 3

Attribute to channel and campaign

Every confirmed patient and revenue event is tied back to the paid campaign that influenced it.

Step 4

Report ROI + send better signals back

Your team gets decision-ready reporting and your ad platforms receive higher quality conversion signals for optimization.

What you can measure

CAC by channel and campaign

Know what you are paying per acquired patient, not just per lead.

ROAS by location

See which locations are producing collected revenue and which need budget changes.

ROAS by provider or service line

Allocate spend to the services and providers creating measurable financial return.

Lead to patient conversion rate

Identify where lead quality is weak before it drains budget and staff time.

Wasted spend visibility

Find campaigns producing activity without producing attended patients.

Budget shift recommendations

Move from reporting to action with clear direction on what to cut and what to scale.

Inside the app

Real operators need a view they can trust. These screens show how paid performance, patient outcomes, and reporting detail come together in one working system.

Revenue Intelligence dashboard overview
Revenue Intelligence table reporting view

Integrations

Ad platforms

Google Ads and Meta Ads campaign data connected as the foundation of paid attribution.

Lead capture systems

Call tracking, forms, and CRM records normalized so each paid lead can be matched reliably.

Scheduling and outcomes data

Appointment and downstream outcome data mapped back to paid media source records.

Revenue data sources

Collected revenue inputs tied to campaigns for true paid media ROI reporting.

Proof assets to ship this page with stronger social proof:

  • 1 screenshot of your dashboard view (can be blurred or demo data)
  • 1 example report: ROAS by location
  • 1 short case snippet: before and after budget decisions

Security and compliance approach

Attribution should not require a black box. We keep implementation practical, transparent, and scoped to what is necessary for paid performance reporting.

Data minimization: we only ingest fields required for paid attribution and ROI reporting.
Controlled access: role-based permissions and process controls around who can view or export data.
Verification routines: recurring QA checks to catch mismatches before they become bad decisions.
Secure transfer practices: system-to-system data movement with documented integration workflows.

FAQs

Get clarity before your next budget meeting

If you are tired of reporting that stops at leads, book a demo and we will show you exactly how paid spend ties to patient revenue.

ROAS tracking moduleOffline conversions moduleCompetitive comparison module