Capacity is a marketing constraint

We once ran a campaign for a speciality at a unit that had one senior consultant in it. Enquiries came in exactly as forecast. Appointments did not. When we listened to the calls, the contact centre was offering the first available slot twelve days out, and the patient was saying they would call back. They did not call back. They went to a hospital that could see them on Thursday. The campaign had worked perfectly and the money had been spent on a competitor’s admissions.

Every growth function in a hospital group eventually runs into this. The demand engine is built, the funnel is measured, the spend is efficient, and then the conversion rate at a unit falls for no reason marketing can see. The reason is not in marketing. The consultant is full, the operating theatre is booked out three weeks, or the beds in the category the patient can afford are occupied. Capacity is the ceiling the funnel hits, and most groups do not draw it on the same chart.

I am not going to write about theatre scheduling or bed management, because I have never run either and the people who do would rightly object. I am going to write about what the growth function sees, what it should measure, what it should stop doing when the ceiling is reached, and what it owes the people who plan capacity. That is a large enough job.

What the funnel shows when the slots run out

The signature is consistent once you know to look for it. Enquiries steady or rising. Appointment bookings flat. The gap between the two growing, and the contact-centre disposition codes filling up with variants of “will call back”, “wants earlier date” and “checking elsewhere”. Average days to first available appointment, if you are measuring it, climbing. And, a few weeks later, a rise in enquiries that go to a different unit of the group in the same city, or to nobody.

The thing to measure, and almost nobody does, is the relationship between offered lead time and booking. Plot the days to the slot offered on the call against whether the patient booked. In every unit I have looked at, there is a cliff. Below a certain lead time, most patients book. Above it, most do not, and the ones who do are disproportionately the ones who will cancel. The exact number varies by speciality and by city, and it is different for a planned surgery than for a first consultation, but it exists, and it is the most useful single number the growth function can give a unit head about capacity.

The other thing to measure is the share of enquiries that never get a slot offered at all, because the contact centre could not see one. In many groups, the agent sees only the slots the front office has released, which may be a fraction of what the consultant actually has, and the patient is told there is nothing when there is.

Why marketing keeps spending into a full hospital

Because nobody told it to stop. The campaign was planned quarterly, the budget was committed, the consultant’s diary is managed by a secretary who does not talk to the marketing team, and the first anyone in growth hears of the constraint is when the conversion rate has been falling for six weeks and the unit head asks why the campaign is not working.

The honest answer is that a campaign for a speciality without capacity to absorb it is not marketing. It is a donation to competitors and a source of one-star reviews from people who were promised an appointment and offered a date in the next month. Every rupee spent on demand beyond capacity is worse than wasted, because it teaches the market that you are hard to get into.

The operating rule I came to is simple: spend is gated by available capacity, speciality by speciality and unit by unit, and the gate is checked weekly, not quarterly. If lead time at a unit is past the cliff, the campaign for that speciality at that unit is paused and the budget moves to a unit or a speciality that has room. That requires the growth function to see capacity, and that is the harder problem.

Slot inventory as a shared asset

In most hospital groups, a consultant’s appointment slots are treated as belonging to the consultant. The diary is kept by their secretary or by the unit’s front office. A portion is released to the online booking system, a portion is kept for walk-ins and referrals, a portion is held back for the consultant’s own patients, and a portion is simply not entered anywhere. The contact centre sees the first portion. The website sees the first portion. The patient calling from a campaign is competing for a fraction of the real capacity, while slots go unused elsewhere in the same week.

I argued, for the better part of two years, that slot inventory is a group asset, the way beds are, and should be visible to every channel through which patients arrive. Not that the consultant loses control of their day, but that the slots they have agreed to make available are in one system that the app, the website, the contact centre, the referral portal and the front desk all read from and write to, in real time. When a slot is booked in any channel, it disappears from all of them. When a walk-in portion goes unused by mid-morning, it is released to the channels that have patients waiting.

The resistance to this is not technical. It is that consultants have been burned by front offices that overbooked them, and by online systems that dumped patients into their day without warning, and they have defended themselves by keeping the real diary in a notebook. The way through, in my experience, is to start with the consultants who are under-booked and want patients, show them that a shared inventory fills their day without chaos, and let the full consultants watch. It is also to give every consultant a view of their own demand: how many patients asked for them and could not be seen. That number changes minds faster than any argument.

Beds and theatres are the surgical ceiling

For a surgical speciality the ceiling is not the consultation slot. A patient can be seen on Thursday and told that the surgery is in four weeks because the theatre is booked or the beds in their room category are full. The funnel shows this as a leak between consultation and admission that is almost never attributed to capacity, because the CRM records the consultation as a success and the admission as an unexplained non-event.

Growth cannot see theatre lists, and should not try to run them. It can ask for two numbers per unit per week: the lead time from decision to surgery for the specialities it is promoting, and the occupancy in the room categories its patients typically choose. When either is past the point where patients start going elsewhere, the promotion pauses. That is a one-line dashboard, and it is remarkable how many groups run surgical campaigns without it.

The room-category point matters more than it sounds in Indian private hospitals. A unit can be at moderate overall occupancy and completely full in the category that an insured patient’s room-rent cap allows, which means every insured enquiry for that speciality is hitting a ceiling that the occupancy number hides. The payer data and the capacity data have to be read together.

Feeding demand signals back into capacity planning

This is where growth earns a seat in the conversation rather than a complaint about it. The people who plan capacity in a hospital group are working from historical admissions, consultant requests and the occasional market study. What they do not have is the demand the hospital turned away, because it was never recorded anywhere. Growth has it.

Enquiries by speciality by unit, with the share that could not be offered a slot within the cliff. Searches and page visits for specialities the unit does not offer, or offers with one consultant. Referrals that went to another unit because this one was full. Contact-centre calls asking for evening or weekend slots that do not exist. Assembled monthly and put in front of the unit head and the medical director, this is the most credible case for a second consultant, an extended clinic, an evening outpatient block or a new speciality that a group ever sees, because it is demand that already arrived and was refused.

I have watched this change a hiring decision that had stalled for a year. The argument for the second consultant had been made on the incumbent’s workload, which sounded like a complaint. Remade as the number of patients who asked for that speciality and were offered a date past the cliff, it was a revenue argument, and it was approved at the next review. The same data, a quarter later, told us the second consultant had absorbed the backlog and the campaign could be switched back on.

The governance this needs

None of this works as a courtesy between departments. It needs a weekly forum, however short, in which growth, the contact centre and whoever manages capacity at each unit look at the same page: lead time by speciality, slot utilisation by channel, surgical lead time, category occupancy, and the campaigns running against each. Decisions are taken there about what to pause, what to push and where the constraint is. The executive committee sees the summary monthly, with the turned-away demand alongside.

It also needs an agreed rule about who can pause a campaign, and the answer should be that growth can, on the capacity data, without asking. A campaign that is generating enquiries that cannot be served is a brand cost, and the person accountable for the brand should be able to stop it the day the data says so.

What I got wrong

For too long I measured the funnel from enquiry to appointment and treated a fall in conversion as a contact-centre problem. Scripts were rewritten, agents retrained, and the number did not move, because the agents were doing the only thing they could with the slots they could see. I should have put lead time on the dashboard from the start.

I also underestimated how much the shared-inventory argument was about trust rather than systems. Presenting it as a platform decision made consultants defensive. Presenting it as a way to see their own unmet demand, and to fill the quiet days of the ones who wanted filling, would have been faster.

If you’re starting this next quarter

• Weeks one to two: add offered lead time and booking outcome to every contact-centre record. Find the cliff, by speciality and unit.
• Weeks two to four: compare the slots the contact centre and the site can see with the slots that actually exist, for the ten most-promoted consultants. Quantify the hidden inventory.
• Weeks four to eight: establish the weekly capacity-and-demand page with the units. Agree the pause rule. Pause whatever is already past the cliff.
• Weeks eight to twelve: start shared slot inventory with the consultants who want patients. Give every consultant their unmet-demand number.
• Quarter end: take the turned-away demand by speciality and unit to the executive committee as a capacity case, not a marketing report.

Demand you cannot serve is not growth. It is advertising for whoever can.

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