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    Healthcare & Medical · capability model · scheduling and intake

    Capability ModelA modelled capability, not a client account. Figures illustrate what the model produces and are labelled as modelled wherever they appear.

    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

    1. 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.

    2. 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.

    3. 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.

    4. 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.

    5. 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.

    89% of patients say booking at any hour matters; 11% of medical groups say most of their patients can — funnelA funnel of 8 stages, narrowing from "Search and social demand" to "Follow-up booked".Search and social demandAd or profilePractice pageOpen slots visibleSlot heldConfirmation and remindersAppointment attendedFollow-up booked

    The sequence

    How it was delivered

    1. Weeks 1–2

      Instrument the booking step

      Requests by hour, time to confirmation, out-of-hours share, request-to-booked rate

      Owner: OmniFlow

    2. Weeks 3–6

      Expose availability

      Live slots on the page, after-hours hold route, confirming auto-response

      Owner: OmniFlow + practice

    3. Weeks 4–6

      Response clock

      Defined response window for requests that still need a human, with an owner

      Owner: Practice + OmniFlow

    4. Weeks 6–12

      Scale media by intent

      Search for captured demand, paid social measured separately on its own funnel

      Owner: OmniFlow

    5. 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:

    $40Cost 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

    Demo
    Acquisition overview
    Last 12 months vs. preceding period

    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

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    Session default channel groupSessionsKey eventsRate
    Organic Search1,61317711.0%
    Paid Search94516917.9%
    Direct7158511.9%
    Referral3485114.7%
    Organic Social3035317.5%

    LinkedIn Campaign Manager

    Sponsored Content · Healthcare & Medical audience

    Demo
    Campaign performance
    Last 12 months

    Impressions

    141,975

    +40.6%

    Clicks

    910

    +44.7%

    CTR

    0.6%

    +0.17%

    Cost per lead

    $40.04

    -9.6%

    Impressions by month

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    CampaignImpr.ClicksLeadsCPL
    Thought leadership — practice leads48,27231031$40.04
    Problem-aware — retargeting36,91423724$40.04
    Case study download31,23520020$40.04
    Webinar registration25,55616416$40.04

    CRM pipeline

    Healthcare & Medical · inbound and outbound

    Demo
    Pipeline by source
    Last 12 months

    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

    AprJunAugOctDecFeb

    Dashed line marks the month the engagement started.

    First-touch sourceLeadsQualifiedMeetings
    Google Ads — high intent37167
    Organic search32146
    Business Profile — call23105
    LinkedIn outbound1773
    Referral1152

    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.

    Every figure on this page, the system it is read from, and how it is defined
    FigureRead fromHow it is definedStatus
    Cost per lead, physicians & surgeonspublished benchmarkApril 2025 – March 2026Published
    Conversion rate, physicians & surgeonspublished benchmarkApril 2025 – March 2026Published
    Cost per lead, healthcare on Metapublished benchmarkApril 2024 – June 2025Published
    Groups where a majority of patients self-schedulepublished benchmarkNovember 2024Published

    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. [1]

      MGMA Stat poll, patient self-scheduling

      318 responses, November 2024

      Supports: Groups where a majority of patients self-schedule

    2. [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. [3]

      WordStream by LocaliQ, Facebook Ads Benchmarks 2025

      data April 2024 – June 2025

      Supports: Cost per lead, healthcare on Meta

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