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From Leads to Orthodontic Starts
Starts are a multiplication, not an addition. Leads times contact rate times booking rate times show rate times acceptance — with a capacity ceiling on top. That structure is why practices double ad spend and gain little, and why a quiet ten-point fix at one gate can outproduce a loud new campaign.
The starts equation, gate by gate
Write it out once and the management problem becomes visible: Starts = Leads × Contact rate × Booking rate × Show rate × Acceptance rate, bounded by consult and start capacity. Five gates, five owners, five different fixes. The equation's most important property is that it multiplies — which means a single weak gate taxes everything upstream. It also means no single 'conversion rate' can describe your funnel: two practices with identical blended rates can have opposite problems, one leaking at contact and the other at acceptance, needing entirely different interventions.
| Gate | Definition to measure | Typical owner | Usual first fix |
|---|---|---|---|
| Contact rate | Leads where a two-way conversation happened | Front desk / TC | Speed-to-lead: minutes not hours, plus evening-weekend coverage |
| Booking rate | Contacted leads with a consult on the calendar | TC | Schedule inside the first conversation; two offered slots, not 'what works for you?' |
| Show rate | Booked consults that walked in the door | TC / scheduling | Shorter lead times to consult, confirmation sequence, reminder with a human reply path |
| Acceptance (consult-to-start) | Showed consults that started or committed | Doctor + TC | Same-day records and financial conversation; a defined pending-decision follow-up path |
| Capacity | Consult slots and start-appointment availability | Doctor / scheduling | Audit slot supply and lead times before concluding the funnel is the problem |
Measure every gate over the same trailing 90 days, with written definitions — does an online booking count as 'contacted'? does a signed contract with a future bonding date count as a start? Definitional drift between months is how funnels appear to improve while nothing changes.
Why the weakest gate is the cheapest place to buy starts
Because the equation multiplies, a relative improvement at any gate raises starts by the same proportion — but the cost of that improvement differs wildly by gate. Raising lead volume 20% means permanently higher ad spend. Raising a 55% contact rate by the same proportion is usually a process fix: faster first touch, better coverage hours, a text-first sequence. The worked example below is illustrative arithmetic, not a benchmark; run your own rates through the starts-gap tool to see your version of it.
Take 100 leads with example rates of 70% contact, 60% booking, 75% show, 60% acceptance: about 19 starts. Move only the show rate from 75% to 85% — confirmation sequence, tighter consult lead times — and the same 100 leads yield about 21–22 starts. Getting those extra starts from volume instead would require roughly 13% more leads, every month, at full ad cost. The gate fix is bought once; the volume fix rents forever.
This is also the honest defense against the perpetual 'we need more leads' instinct. Sometimes true — but the equation makes it checkable rather than arguable. Compute starts at current rates, then compute the marginal starts from a plausible improvement at each gate, then from the same spend converted to extra leads. Whichever line item buys starts cheapest wins the next quarter's attention. The Treatment-Starts Gap tool at /tools/starts-gap runs precisely this comparison.
Capacity: the gate nobody measures until it binds
A funnel can convert beautifully into a wall. If the next available consult is two and a half weeks out, show rate degrades — enthusiasm decays with every day between the call and the chair, and some families consult elsewhere in the gap. If bonding appointments run long lead times, 'accepted' cases sit in pending status where life intervenes. Capacity problems masquerade as conversion problems: the practice sees a soft show rate and retrains confirmation scripts, when the actual culprit is slot supply. Check the boring numbers first — days to next consult slot, days from acceptance to start appointment — before diagnosing anything psychological.
A capacity audit you can run this week
- Days to the third-available consult slot (third, not first — first-available flatters the schedule)
- Days from acceptance to the next available start appointment
- Consult slots per week versus consult demand per week over the last quarter
- Share of consults scheduled more than 7 days out — a leading indicator of show-rate erosion
- Whether consult supply flexes for seasonal surges (back-to-school, year-end insurance) or stays flat while demand doesn't
Run it as an operating rhythm, not a one-time analysis
- Instrument the five gates onceAgree definitions in writing, build one report or sheet that produces the five rates over a trailing 90 days, and name an owner per gate. Imperfect but consistent measurement beats precise definitions that never ship.
- Review monthly, change one gate at a timeOne improvement project per month, at the weakest gate, with a named owner and a specific intervention. Simultaneous changes at three gates produce results nobody can attribute — sequential fixes compound and stay explainable.
- Hold volume steady while testing a gateIf ad spend doubles the same month the confirmation sequence changes, the data is contaminated. Keep acquisition stable during a gate test so the delta belongs to the fix.
- Re-run the gap math each quarterThe weakest gate moves — fixing show rate may expose acceptance next. A quarterly pass through the starts-gap calculation re-ranks where the next dollar and the next month of attention go.
Frequently asked questions
What conversion rate from consult to start should an orthodontic practice expect?
Published averages aren't offered here because they mislead: consult-to-start varies with case mix, fee positioning, financing options, referral versus ad-sourced consults, and how 'start' is even defined. The workable approach is to fix your own definition (signed contract? records appointment? bonding?), measure a 90-day baseline, and manage against your own trend. A practice that moves its own rate ten relative points knows something real; a practice comparing itself to a webinar number knows nothing yet.
How do I calculate how many leads I need for a given number of starts?
Divide backwards through your measured gates. Target starts ÷ acceptance rate = consults that must show; ÷ show rate = consults to book; ÷ booking rate = leads to contact; ÷ contact rate = leads required. Using illustrative rates of 60/75/60/70 percent, 10 monthly starts back out to roughly 53 leads — but that figure is arithmetic demonstration, not a benchmark. The Treatment-Starts Gap tool (/tools/starts-gap) computes it from your actual rates.
Why did doubling our ad spend barely increase starts?
Because starts are multiplicative and something other than lead volume was binding. Common culprits: contact capacity (twice the leads, same one person calling them), consult-slot supply (bookings pushed further out, eroding show rate), or a middle gate that was already leaking and now leaks at double volume. Before scaling spend again, measure the five gates at the new volume and find which one moved down as volume moved up — that's your real constraint.
Should pending or 'will start later' cases count as starts?
Count them separately, and define everything in writing. A signed contract with a scheduled bonding date is a committed start with a known conversion risk; a 'thinking about it' consult is pending acceptance, not a start of any kind. Blending them flatters this month at the expense of next month's truth. Many practices report both a committed-starts number and a started-treatment number, and track slippage between the two — that slippage is itself a fixable gate.
How does consult scheduling lead time affect starts?
It quietly taxes two gates at once. Long waits to consult erode show rate — motivation decays and competitors are a phone call away — and long waits from acceptance to bonding give pending cases time to dissolve. Track days-to-third-available-consult and days-from-acceptance-to-start as standing metrics; when either stretches, added consult or start capacity often buys more starts than any funnel or marketing intervention that month.
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