06 · THE CHART · Who we treat · Fertility

Admen · GROWTH PARTNERS FOR HEALTHCARE OPERATORS
BY APPLICATION · ~6 / QUARTER PANEL 12

PT / Who we treat / PANEL 12 · FERTILITY NETWORKS

PANEL 12 — FERTILITY NETWORKS

Fertility and IVF marketing for multi-clinic networks

CC — PRESENTING COMPLAINT

Cash-pay, patient-chosen, and researched for months before the first call

Fertility is the clearest consumer purchase in medicine. KFF records that only fifteen states mandate any infertility coverage, and that most large employers offering fertility benefits do not cover IVF treatment itself. The patient shops, compares and pays — often for something priced like a car, out of savings, under time pressure she can feel.

That is the opposite of general obstetrics, primary care or paediatrics, where growth arrives through payer contracts and panel assignment. It is why this page exists as its own audience rather than as a section on a women's health page.

The behaviour follows the economics. She researches for months before she calls: success rates, protocols, financing, forums, other patients' accounts of the same clinic. By the time she reaches the phone she knows more about your programme than most of your staff assume, and she is comparing you against two or three others on things you may not be publishing.

A network that markets this as a medical referral business is competing in the wrong market against people who understand which one it is.

S — SUBJECTIVE

What we hear from fertility network leadership

The pattern reported across this market is consistent enough to state plainly. Consult volume is up and cycle starts are not, and no one can say where between the two the loss occurs. The consult-to-cycle-start gap is a conversion finding far more often than a demand one. Each clinic in the network kept its own name, its own website and its own reputation after acquisition, so there is no way to read performance across the platform without somebody rebuilding it by hand each month. Success-rate presentation is a compliance question, a marketing question and a clinical question at once, and it is usually being answered by whoever spoke last. Financing and benefit checking sit with the business office, which means the step that most often ends the process is owned by people who are not measured on conversion.

The common thread: everyone is counting consults, and the income statement runs on cycles.

HX — PORTFOLIO

One platform, fifteen legacy clinic brands — and no way to read them together

The large fertility networks were assembled from established clinics, and most of those clinics kept what made them valuable: their name, their physicians' reputations, their local standing and their own website. That was usually the right call. It also means the platform now runs a portfolio of brands whose performance cannot be compared, because nothing about them is measured the same way.

Every clinic has its own site on its own stack, its own analytics, its own call handling and its own definition of an inquiry. Assembling a platform view is a manual job somebody does at month end, which means it arrives late, cannot be drilled into, and is argued with rather than acted on.

Reading them together is the deliverable. One instrumentation layer under every brand, one definition set, one measurement of the same funnel at each clinic — with the local brands left exactly where they are. The spread between clinics on a single properly defined measure is usually the largest opportunity in the network, and it is invisible until they are measured alike.

HX — THE REAL CONVERSION

The consult is not the conversion. The cycle start is.

Almost everything sold to this market is measured in consults, and a consult is not revenue. The distance between a first consultation and a started cycle is long, it is expensive, and it is where the patient makes the decision that actually matters.

Between the two sit diagnostics, a treatment plan, a cost conversation, a benefits check, financing, a partner who may not be as ready, and a wait for the next cycle window. Any one of those can end it, and none of them is visible in a report that stops at the consult.

So the funnel we instrument runs to the cycle start and past it: inquiry, consult booked, consult kept, diagnostics completed, plan agreed, financing resolved, cycle started. Each is a step with a measurable drop, each drop has an owner, and most of them belong to people who have never been shown a marketing report.

An agency measured on consults will optimise for consults. That is the same failure as optimising for leads, one stage further along.

HX — ELIGIBILITY

Benefit eligibility is a conversion step, not a billing step

In most networks the benefits check is treated as back-office work — something the business office does once the patient has decided. In practice it is frequently the moment the patient decides.

She wants to know what is covered, what is not and what the remainder will cost, and she wants to know it before she commits emotionally to a plan. If that answer takes eleven days and arrives by voicemail, a meaningful share of patients quietly stop moving. Nothing in the marketing report records it, because as far as the report is concerned the consult happened and was a success.

Treated as a conversion step, it becomes measurable and fixable: time from request to a clear answer, share of patients who receive one before their next appointment, and the drop-off rate for those who wait longest. Financing options presented alongside the answer rather than after it.

This is not a marketing tactic. It is the highest-leverage operational finding available in this vertical, and it is the kind of thing an examination surfaces in the first fortnight.

O

OBJECTIVE — what we find on intake

What we find on intake across clinics and labs

Reporting that stops at the consult, so cycle starts are attributed to nothing. Every clinic on a different stack with a different definition of an inquiry, making the platform view a manual monthly rebuild. Time from inquiry to a booked consult measured in days, in a market where the patient is comparing three clinics. Benefits and financing owned by a team with no conversion measurement on it. Success-rate presentation inconsistent across the network's brands, with each site making its own decision about what to publish and how. Lab capacity and cycle scheduling treated as fixed, so demand is bought without reference to whether the network can start the cycles it wins. Cost per cycle start unknown, because cost per consult is the only figure anyone has built. And a wide spread between clinics on all of the above, unread, because nothing makes them comparable.

P

PLAN

What we do: cycle-start acquisition, consult instrumentation, per-clinic reporting

Acquisition is aimed and measured at cycle starts rather than at consults, which changes what gets bought. It also changes what gets said: the patient's questions are about cost, timing, protocol and outcome, and a network that answers them in public converts a longer research period into an advantage rather than a leak.

The consult path is instrumented as a full sequence — inquiry, booked, kept, diagnostics, plan, financing, cycle start — with the drop measured at each step and named to an owner. Speed to first contact is treated as a competitive variable, because in this market it is one.

Reporting is per clinic, on one definition set, under whatever local brands the platform decided to keep. The legacy names stay; the measurement stops being local.

Everything published about outcomes runs through the network's compliance and clinical leadership as a standing step, not as an exception. In this category that is not friction — it is the product.

WHAT WE MEASURE

What we measure: cost per consult, consult-to-cycle-start, revenue per cycle, spread between clinics

  • Cost per booked consult, per clinic, built from the ledger
  • Consult-to-cycle-start conversion, with the drop measured at every intermediate step
  • Cost per cycle start
  • Revenue per cycle, and cycles per clinic per month against lab and scheduling capacity
  • Time from inquiry to booked consult, and time from request to a clear benefits answer
  • Spread between clinics on each of the above
  • Months to system

In a portfolio of legacy brands the spread is the finding, and it cannot be seen until every clinic is measured on one definition set.

REFERENCE RANGES

Reference ranges for fertility networks

Not yet published, and this vertical carries a specific caution: the outcome figures that circulate in this market are frequently clinic-selected and are not comparable across programmes. Any reference range we publish here will be read in its primary source, will state its denominator, and will say plainly what it cannot be used to compare. Until that work is done, this page cites the network's own instrumented baseline. The register is at /sources.

RELATED CASE FILES

Related case studies

None of the fourteen published engagement records is a fertility network. Adjacent records are linked, with that stated plainly.

The five ways this presents, with the causes ranked and the test that tells them apart, are worked through at marketing problems — fertility networks.

APPLY — 6 / QUARTER →