Most clinic owners track the wrong things. They count total patients ever registered, or watch the appointment book fill up, and feel busy. Busy is not the same as healthy. The numbers that actually change how you run the clinic are a short list, and you can watch all of them in a few minutes a week.
Here is the list. For each one: what it is, what it tells you, and what to do when it moves.
Footfall (patient volume)
This is just how many patients walked in over a period, usually a day, week, or month. It is the top of the funnel. Everything downstream depends on it.
Footfall on its own tells you very little. The useful version is the trend. Is this month higher or lower than the last three? Is Tuesday always dead? Does footfall drop the week a second doctor is on leave? Those patterns are where the decisions live.
What to do: if footfall is flat or falling, the problem is demand or capacity, not billing. Look at referral sources, opening hours, and whether patients can actually get a slot. If footfall is rising but revenue is not, the problem is further down this list.
New vs returning patients
Split your footfall into first-time visits and repeat visits. A healthy outpatient clinic usually has a steady base of returning patients with a smaller stream of new ones on top.
This split tells you two different things. A high share of new patients with few returning means you are good at attracting people but bad at keeping them, so something about the experience is not bringing them back. A high share of returning patients with almost no new ones means your reputation is solid but your pipeline is drying up.
What to do: if returning is low, fix the visit itself, the wait time, the follow-up call, the clarity of the prescription. If new is low, the work is outside the clinic, on visibility and referrals.
Average ticket size (average revenue per visit)
Total revenue divided by number of visits. If you collected ₹2,00,000 across 400 visits, your average ticket is ₹500.
This is one of the most useful numbers a clinic can watch, because it isolates value per visit from sheer volume. Two clinics with the same footfall can have very different revenue, and the difference is almost always average ticket.
What to do: a falling average ticket on steady footfall usually means undercharging, missed line items, or services given away without being billed. Check whether procedures, dressings, and consumables are actually making it onto the invoice. A line-by-line bill makes this leak obvious. See our guide to GST billing for how to structure invoices so nothing slips through.
Collection rate
Of everything you billed, how much did you actually collect? If you billed ₹5,00,000 and collected ₹4,25,000, your collection rate is 85 percent.
This is the metric most clinics never look at, and it is often where the money is hiding. You can have rising footfall and a healthy average ticket and still be in trouble, because the gap between billed and collected is quietly widening every month. Headline revenue lies. Collection rate does not.
What to do: if collection rate is below the low-to-mid 90s, you have a process problem at the front desk. Collect at the point of care, offer UPI so payment is frictionless, and stop letting bills sit as drafts. Every draft that never gets finalised is revenue you decided not to ask for.
Outstanding dues
The total still owed to you across all unpaid and partly paid bills, ideally aged by how long it has been outstanding.
Dues are the other side of collection rate. A small, stable dues figure is normal. A growing one, especially with old balances piling up, is a slow leak that becomes a flood. Old dues are far harder to recover than recent ones, so the age of the balance matters as much as the amount.
What to do: review dues weekly, oldest first, and chase them while they are still fresh. We cover the practical playbook in recovering outstanding patient dues.
No-show rate
The share of booked appointments where the patient simply did not turn up. Ten no-shows out of 100 booked is a 10 percent no-show rate.
No-shows are pure waste. The slot was reserved, the doctor's time was held, and nothing was earned. The damage compounds, because a no-show often blocks a slot a paying patient wanted. Published studies report no-show rates ranging widely, from roughly 19 percent to as high as 49 percent across different clinics, so if yours feels high, it probably is, and it is fixable.
What to do: send reminders the day before, keep a short waitlist to backfill cancelled slots, and track which doctors or time slots see the most no-shows. Our full approach is in reduce patient no-shows, and a tighter booking flow helps too, covered under appointment scheduling.
The whole list at a glance
| Metric | What it tells you | Act when |
|---|---|---|
| Footfall | Demand and capacity at the top of the funnel | Flat or falling vs prior months |
| New vs returning | Whether you attract or retain | Either share is lopsided |
| Average ticket size | Value captured per visit | Falling on steady footfall |
| Collection rate | What you actually banked vs billed | Below the low-to-mid 90s |
| Outstanding dues | Money owed, by age | Total or old balances growing |
| No-show rate | Wasted, unearned slots | Trending up month on month |
Where to actually see these
The hardest part is usually not understanding the metrics. It is getting them in front of you without building a spreadsheet by hand every month. That is the gap Avinya Plus is built to close.
The per-branch revenue dashboard surfaces collection, dues, draft, and average ticket size directly, so four of the six numbers above are already on screen per branch. Appointments come with a six-month trend plus filters by date, doctor, and status, which is where footfall and no-show patterns become visible. You read the numbers and decide; the system keeps them current.
Whatever tool you use, the discipline is the same. Pick the handful of metrics that map to an action, look at them on a regular cadence, and benchmark against your own past, not someone else's industry average. The trend is the message. For the bigger picture on running a tight practice, see our clinic operations playbook.
Frequently asked questions
- What is the single most important metric for a small clinic?
- There isn't one. But if you must pick, watch collection rate. Footfall and average ticket tell you what you billed; collection rate tells you what actually reached the bank. A busy clinic that collects 80 percent of what it bills is quietly leaking money every day, and no amount of extra patients fixes that.
- What is a good no-show rate for a clinic?
- Lower is better, and you should benchmark against your own past months rather than a fixed target. Published studies report no-show rates ranging widely, from roughly 19 percent to as high as 49 percent across different clinics. If you are anywhere near the top of that range, reminders and a waitlist will pay for themselves quickly.
- How do I calculate average ticket size?
- Divide total revenue for a period by the number of visits in that period. If you collected ₹2,00,000 across 400 visits in a month, your average ticket is ₹500. Track it monthly and look at the trend, not the single number. A falling average ticket on flat footfall usually means undercharging or missed line items.
- Which metrics should I ignore?
- Ignore vanity metrics that look good but drive no decision: total lifetime patients registered, social media followers, or app downloads. They never tell you what to do next. Stick to the six that map to an action: footfall, new vs returning, average ticket, collection rate, outstanding dues, and no-show rate.
- How often should I review these numbers?
- Review revenue and dues weekly, footfall and no-shows monthly, and the new-vs-returning split quarterly. The point is a short, regular look, not a once-a-year audit. Most clinics that turn around do so because the owner started looking at the same five or six numbers every week.