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Article

How to Track Where Your Patients Are Actually Coming From

UTM parameters are tags added to your landing page URLs that tell Google Analytics where each visitor came from. When a patient clicks your Google Ads link and fills a form, the UTM data records: source = Google, medium = CPC, campaign = [c

Hanuman Sihag · · · 3 min read
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Direct answer

UTM parameters are tags added to your landing page URLs that tell Google Analytics where each visitor came from. When a patient clicks your Google Ads link and fills a form, the UTM data records: source = Google, medium = CPC, campaign = [c

TL;DR

UTM parameters are tags added to your landing page URLs that tell Google Analytics where each visitor came from. When a patient clicks your Google Ads link and fills a form, the UTM data records: source = Google, medium = CPC, campaign = [c

The Four Tracking Layers

Layer 1: UTM Parameters on All Ad Links

UTM parameters are tags added to your landing page URLs that tell Google Analytics where each visitor came from. When a patient clicks your Google Ads link and fills a form, the UTM data records: source = Google, medium = CPC, campaign = [campaign name].

Standard UTM structure for clinic ads:

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ParameterGoogle AdsMeta AdsGMBOrganic
utm_sourcegooglefacebookgmborganic
utm_mediumcpcpaid_socialorganicorganic
utm_campaign[campaign name][campaign name]

Your forms must capture these UTM parameters and push them to the CRM with each lead submission. This is a one-time setup (usually via a hidden form field) that gives you source attribution permanently.

Layer 2: Dedicated Phone Numbers per Source (DNI)

Not all patients click a link — many call directly. Dynamic Number Insertion (DNI) assigns a different phone number to each source. The patient who comes from Google Ads sees one number; the patient coming from GMB sees another; the patient from your website's organic traffic sees a third.

When they call, the IVR identifies which number they called and tags the call with the source. This is the only way to attribute inbound call enquiries to their source.

Layer 3: CRM Source Tagging

Your CRM should capture and store the lead source for every lead. This means:

  • Web form leads: Source populated from UTM parameters
  • Inbound call leads: Source populated from IVR DNI data
  • Walk-in leads: Source entered manually by receptionist (with fixed options: Walk-in / Referral / [Doctor name] referral)
  • WhatsApp leads: Source tagged based on which WhatsApp number they contacted

Layer 4: Appointment and Treatment Outcome Tagged to Source

The final layer: when a lead becomes an attending patient and then a treatment-starting patient, the source attribution travels with them. Your CRM report should allow you to filter by source and see:

  • Source: Google Ads — Campaign: [X]
  • Leads: 90 | Attended: 18 | Treatment started: 11
  • Cost per lead: ₹2,222 | Cost per patient: ₹18,181

This is the patient source tracking report that makes marketing decisions defensible.


The Agency OS Attribution View

Agency OS combines all four layers — Google Ads performance, Meta Ads performance, GMB calls, and IVR DNI call data — into a single channel comparison view. The clinic owner sees, in one dashboard:

  • Cost per lead by channel
  • Leads by channel
  • And (with Beacon in place) cost per attending patient by channel

Without this view, the channel comparison requires manual data reconciliation from Google Ads, Meta Business Suite, the IVR system, and the CRM — a 3-hour monthly exercise. Agency OS makes it a 30-second scan.

See Agency OS →



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Frequently asked

Questions readers ask
about this topic.

Ask every walk-in at registration: "How did you hear about us?" with fixed options (Google search, Google Maps, friend/family referral, [Doctor name] referral, seen our board/signage, social media, other). Log this in the CRM. Over 3 months, you will have a reliable picture of your offline referral channels.

This happens. For these patients, use the default of "unknown / direct." Over time, as your UTM and DNI infrastructure captures more data, the unknown percentage shrinks. Most clinics start at 40–50% unknown and reduce to 15–20% with proper tracking setup.

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