Healthcare & Medical · capability model · scheduling and intake
89% of patients say booking at any hour matters; 11% of medical groups say most of their patients can
Physician search converts at 12.43%, well above the cross-industry average, and costs $40.04 a lead. The published gap in this vertical is not in the media. It is between the moment a patient decides to book and the moment a human is available to let them.
$40.04
Cost per lead, physicians & surgeons
Modelled figure — not a client result
12.43%
Conversion rate, physicians & surgeons
Modelled figure — not a client result
$47.47
Cost per lead, healthcare on Meta
Modelled figure — not a client result
11%
Groups where a majority of patients self-schedule
Modelled figure — not a client result
Modelled. Inputs: WordStream by LocaliQ, Google Ads Benchmarks 2026 (13,474 US search campaigns, April 2025 – March 2026); WordStream by LocaliQ, Facebook Ads Benchmarks 2025 (data April 2024 – June 2025); MGMA Stat poll, patient self-scheduling (318 responses, November 2024); Oldroyd, McElheran & Elkington, The Short Life of Online Sales Leads, Harvard Business Review, March 2011 (1.25M leads across 42 US companies). Modelled outputs are not a forecast or a guarantee of results. Cited: Experian Health *State of Patient Access*; MGMA Stat; WordStream 2026.
At a glance
The engagement in brief
Services
- Paid Search
- Paid Social
- Landing Pages
- CRO
- Booking Intake
- Lead Routing
- Reporting
Stack
- Google Ads
- Meta Ads
- scheduling platform
- call tracking
- practice management system
The situation
What we walked into
Physicians and surgeons sit in the comfortable middle of the paid search benchmark set: $4.76 a click, a 6.61% click-through rate, and a 12.43% conversion rate that is among the stronger figures across the twenty-three industries measured. The media works. What happens next is the problem. Only 11% of medical group leaders report that a majority of their patients self-schedule, and 73% report that a quarter or fewer do, against 89% of patients saying the ability to book at any hour matters to them. The practice is buying attention around the clock and accepting it during office hours.
A practice can pay $40.04 for a lead at eleven at night and then ask that person to call back between nine and five.
What we found
The diagnosis
01
The demand side of this question is not in dispute; the supply side is
89% of patients say anytime digital scheduling matters. 73% of medical group leaders say a quarter or fewer of their patients actually self-schedule. That is not a persuasion gap or a messaging gap. It is a capability the practice either exposes or does not, and every campaign runs on top of the answer.
02
A 12.43% conversion rate means the constraint sits after the form, not before it
When the published conversion rate is already strong, spending the optimisation budget on ad copy and match types is spending it on the healthiest part of the funnel. The step with no published benchmark at all — request to confirmed appointment — is where the model puts its first instrumentation.
03
Meta is more expensive here and is doing a different job
At $47.47 against $40.04, paid social costs more per lead in healthcare than search does. That is not an argument against it; it is an argument for judging it on a different metric. Search captures a patient who has already decided to seek care. Social reaches one who has not.
04
Response speed has the only causal study behind it, and it is old
The canonical research found firms contacting a prospect within an hour were roughly seven times more likely to qualify the lead than those who waited an hour longer. That study dates from 2011 and should be cited with its date, but nothing more recent has replaced it as a primary experiment.
05
Two numbers this model deliberately does not use
There is no credible published figure for patient lifetime value, and no credible published figure for an absolute average no-show rate. Any model that judges a $40.04 lead against an invented lifetime value is doing arithmetic on a number somebody made up. Both are instrumented first-party or they are left out.
The number behind it
What this is built around
Patients valuing anytime booking **89%** (Experian 2024) · medical groups where a majority self-schedule **11%** (MGMA 2024) · physician search conversion **12.43%** at **$40.04** per lead (WordStream 2026).
What we built
The system
The model instruments the booking step before it touches the media. Phase one measures what exists: requests received by hour and by day, time from request to confirmed appointment, share of requests arriving outside office hours, and the share that never convert to a booked slot. Phase two exposes real availability — open slots visible on the page rather than a request form, an after-hours route that holds a slot rather than promising a call back, and an automated response that confirms rather than acknowledges. Only then does media scale, with search and social separated by intent and reported separately. Every measurement runs through the containment architecture, so none of it holds a clinical detail.
The sequence
How it was delivered
Weeks 1–2
Instrument the booking step
Requests by hour, time to confirmation, out-of-hours share, request-to-booked rate
Owner: OmniFlow
Weeks 3–6
Expose availability
Live slots on the page, after-hours hold route, confirming auto-response
Owner: OmniFlow + practice
Weeks 4–6
Response clock
Defined response window for requests that still need a human, with an owner
Owner: Practice + OmniFlow
Weeks 6–12
Scale media by intent
Search for captured demand, paid social measured separately on its own funnel
Owner: OmniFlow
Week 12
Review
Cost per booked appointment and cost per attended appointment, never cost per form fill
Owner: OmniFlow + practice
Outcome
What the model produces
At the published cost per lead of $40.04, a practice generating 60 requests a month is spending roughly $2,400 to produce them, and has no published benchmark telling it how many became appointments. The model reports cost per booked appointment and cost per attended appointment alongside cost per lead, because those three diverge and only the last two are business outcomes. Patient lifetime value and no-show rate are measured from the practice's own records from month two, and until they are measured they do not appear in any calculation. All benchmark inputs are replaced by the practice's own figures as soon as ninety days of clean data exist.
Modelled. Inputs: WordStream by LocaliQ, Google Ads Benchmarks 2026 (13,474 US search campaigns, April 2025 – March 2026); WordStream by LocaliQ, Facebook Ads Benchmarks 2025 (data April 2024 – June 2025); MGMA Stat poll, patient self-scheduling (318 responses, November 2024); Oldroyd, McElheran & Elkington, The Short Life of Online Sales Leads, Harvard Business Review, March 2011 (1.25M leads across 42 US companies). Modelled outputs are not a forecast or a guarantee of results. Cited: Experian Health *State of Patient Access*; MGMA Stat; WordStream 2026.
Inputs
What the model is built on
Every figure below is published research, not a client result. They are the inputs to the arithmetic above, listed so it can be checked rather than taken on trust. The bracketed number points to the full citation at the end of this page.
$40.04
[2]Cost per lead, physicians & surgeons
April 2025 – March 2026
12.43%
[2]Conversion rate, physicians & surgeons
April 2025 – March 2026
$47.47
[3]Cost per lead, healthcare on Meta
April 2024 – June 2025
11%
[1]Groups where a majority of patients self-schedule
November 2024
The published figures, side by side
Rates share a 0–100% scale. Costs and counts are scaled against the largest value shown.
- Cost per lead, physicians & surgeons[2]$40.04
April 2025 – March 2026
- Conversion rate, physicians & surgeons[2]12.43%
April 2025 – March 2026
- Cost per lead, healthcare on Meta[3]$47.47
April 2024 – June 2025
- Groups where a majority of patients self-schedule[1]11%
November 2024
Run the model on your own numbers
Change the volume and the target rate. Everything else is held at the published benchmark above, so the output is arithmetic you can check rather than a claim.
Fixed inputs, from the research cited on this page:
$40 — Cost per lead, physicians & surgeons[2]
12% — Conversion rate, physicians & surgeons[2]
Media spend, unchanged
$1,201
People actually reached today
4
Reached after the fix
11
Gained on the same spend
+7
Cost per person actually reached falls from $322 to $108 — on identical media spend. The lead number does not move; the number of them you speak to does.
Arithmetic on the published inputs above. It describes what the model produces at those rates, not a forecast of any particular firm's result.
Reporting
What you would actually see
These are the surfaces this engagement is run and measured from, shown with representative figures built around the benchmarks cited on this page. Every account we run reports into views like these, and you keep ownership of all of them.
These are demo dashboards. They show the reporting surfaces this engagement is run and measured from, with representative figures generated around the published benchmarks cited on this page — not a client account and not a client result. Live reporting for your own account replaces every number here.
Google Analytics 4
Healthcare & Medical · all web data
Sessions
3,924
+59.5%
Key events
488
+74.3%
Session key event rate
12.4%
+3.5%
Engagement rate
58.5%
+7.2%
Sessions by month
Dashed line marks the month the engagement started.
| Session default channel group | Sessions | Key events | Rate |
|---|---|---|---|
| Organic Search | 1,613 | 177 | 11.0% |
| Paid Search | 945 | 169 | 17.9% |
| Direct | 715 | 85 | 11.9% |
| Referral | 348 | 51 | 14.7% |
| Organic Social | 303 | 53 | 17.5% |
LinkedIn Campaign Manager
Sponsored Content · Healthcare & Medical audience
Impressions
141,975
+40.6%
Clicks
910
+44.7%
CTR
0.6%
+0.17%
Cost per lead
$40.04
-9.6%
Impressions by month
Dashed line marks the month the engagement started.
| Campaign | Impr. | Clicks | Leads | CPL |
|---|---|---|---|---|
| Thought leadership — practice leads | 48,272 | 310 | 31 | $40.04 |
| Problem-aware — retargeting | 36,914 | 237 | 24 | $40.04 |
| Case study download | 31,235 | 200 | 20 | $40.04 |
| Webinar registration | 25,556 | 164 | 16 | $40.04 |
CRM pipeline
Healthcare & Medical · inbound and outbound
Leads created
120
+77.1%
Qualified
52
+88.7%
Meetings booked
30
+92.5%
Answered on first attempt
74.8%
+8.6%
Leads created by month
Dashed line marks the month the engagement started.
| First-touch source | Leads | Qualified | Meetings |
|---|---|---|---|
| Google Ads — high intent | 37 | 16 | 7 |
| Organic search | 32 | 14 | 6 |
| Business Profile — call | 23 | 10 | 5 |
| LinkedIn outbound | 17 | 7 | 3 |
| Referral | 11 | 5 | 2 |
Method
How this is measured
Each figure on this page, the system it is read from, and the definition and window it is measured over.
| Figure | Read from | How it is defined | Status |
|---|---|---|---|
| Cost per lead, physicians & surgeons | published benchmark | April 2025 – March 2026 | Published |
| Conversion rate, physicians & surgeons | published benchmark | April 2025 – March 2026 | Published |
| Cost per lead, healthcare on Meta | published benchmark | April 2024 – June 2025 | Published |
| Groups where a majority of patients self-schedule | published benchmark | November 2024 | Published |
Honestly
What we would do differently
Not applicable — this is a modelled engagement, not a delivered one. The model's weakest input is the MGMA figure: it is a poll of 318 medical group leaders reporting their impression of how many patients self-schedule, not a measured share pulled from scheduling systems. Leaders may be pessimistic or optimistic and the poll cannot tell which. The instrumentation phase exists to replace that impression with the practice's own count before any budget decision rests on it.
Evidence base
3 sources, 2 publishers
Full citations for everything cited on this page, with the sample and period each study covers, so you can go and read the original.
Published research
- [1]
MGMA Stat poll, patient self-scheduling
318 responses, November 2024
Supports: Groups where a majority of patients self-schedule
- [2]
WordStream by LocaliQ, Google Ads Benchmarks 2026
13,474 US search campaigns, April 2025 – March 2026
Supports: Cost per lead, physicians & surgeons · Conversion rate, physicians & surgeons
- [3]
WordStream by LocaliQ, Facebook Ads Benchmarks 2025
data April 2024 – June 2025
Supports: Cost per lead, healthcare on Meta
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