"We close about 6% of our internet leads" is not one number. It's four numbers multiplied together — and until you know which of the four is dragging, every fix you try is a guess.
The short answer: a single close rate tells you that something is wrong, never what. A lead has to be contacted, then set on an appointment, then show up, then buy — four separate rates, each with its own failure mode and its own owner in your store. Multiply the commonly cited benchmarks for those four stages and you land almost exactly on the ~6% internet-lead close rate everyone quotes. That's the whole point: the headline number is an output. The four stage rates are the things you can actually manage.
| Stage | The question it answers | Typical rate | Who owns it |
|---|---|---|---|
| Contact | Did anyone reach a human being? | ~63% | Whoever answers first |
| Appointment set | Did the conversation produce a booking? | ~42% | BDC / salesperson |
| Show | Did they actually turn up? | ~58% | Whoever confirmed it |
| Close | Did the visit become a delivered unit? | ~41% | Salesperson / desk |
Four different jobs. A store with a contact problem and a store with a show problem can post the identical 6% close rate and need completely opposite interventions — one needs faster answering, the other needs appointment confirmation. Blended into one number, both look like "the floor isn't closing."
Treat those rates as orientation, not gospel — they move with brand, market, price point and how leads are sourced. What survives the variation is the structure.
The structure is multiplicative:
Six point three percent. Which is, to within a rounding error, the ~6% 30-day close rate on internet leads that gets quoted constantly. The headline number isn't a separate fact to be improved directly — it's the product of four rates, and it can only move if one of them does.
Because the stages multiply, a gain anywhere flows straight through to units. But the stages are not equally easy to move, and the one nobody watches is usually the softest. Same funnel, one stage improved at a time:
| Improve this | To this | Funnel becomes | Units vs. today |
|---|---|---|---|
| Contact rate | 63% → 75% | 7.5% | +19% |
| Appointment set | 42% → 50% | 7.5% | +19% |
| Show rate | 58% → 70% | 7.6% | +21% |
| Close rate | 41% → 45% | 6.9% | +10% |
On 300 leads a month that's the difference between 18.9 units and 22.8 units — roughly four extra cars, from confirming appointments better. No extra ad spend, no extra leads, no new vendor.
Note what the table says about instinct. The stage most stores push hardest on is the last one — more training, more desking, more pressure on the floor — and it's the weakest lever, because by then you've already lost everyone else. The show stage is where the cheap units are, and it's the stage most stores don't measure at all, because "did they turn up" lives in someone's memory rather than in a system.
Roughly a third of leads are never reached. That is rarely because the BDC lacks talent — it's because the first attempt happened too late, after the shopper had already spoken to someone else. Speed is the input to the contact rate, which makes it the input to everything downstream: it's the only stage where the fix is mechanical rather than behavioural. That's covered properly in the lead response time guide, and it's the first place to look if your contact rate is under 60%.
A single store-wide close rate averages sources that behave nothing alike. The figures commonly cited:
| Lead type | Typical close rate |
|---|---|
| Internet leads (blended, 30-day) | ~6% |
| Third-party marketplace leads | 8–12% |
| Organic website leads | 15–25% |
A shopper who came to your own site closes at multiples of one who found you on a marketplace comparison screen — same store, same salespeople. So a blended close rate mostly reports your lead mix, not your performance. Shift spend between sources and the blended number moves without anyone getting better or worse at selling.
Two consequences worth holding onto. First, per-source close rate is the input to third-party ROI — you cannot judge what a listing site is worth without it. Second, it is only as trustworthy as the source field it's grouped by; if half your leads are filed under a catch-all, your per-source rates are fiction, which is its own fixable problem.
Every rate above is a fraction, and in most stores the numerators are solid — deliveries get recorded, because they get paid on. The denominators are the soft part:
Before you accept any close-rate number, ask:
Answer those and the argument changes from "the floor needs to close better" to "our show rate is 41% and appointments aren't being confirmed" — which is a problem somebody can actually be given on Monday.
What is a good close rate for a car dealership? It depends entirely on which close rate you mean, which is why the question causes so much confusion. Blended internet leads commonly close around 6% over 30 days; third-party marketplace leads typically run 8–12%; leads from your own website often reach 15–25%; and walk-in ups are higher again because the shopper has already chosen to drive over. Comparing your number to someone else's is only meaningful if the stage, the source mix and the window all match. The more useful comparison is against your own store last quarter, stage by stage.
How do you calculate a lead close rate? Delivered units from a set of leads ÷ the number of leads in that set, over a fixed window — commonly 30 days for internet leads. Three details decide whether the answer means anything. Collapse duplicates first, so one shopper who inquired three times counts as one opportunity. Fix the window and apply it to both halves of the fraction. And group by source, because a rate blended across sources that close at 6% and 25% mostly measures your lead mix. Then do the same for each earlier stage — contacted ÷ leads, appointments ÷ contacted, shows ÷ appointments.
Why is my dealership's close rate low? Because one of four things is happening, and a single close rate can't distinguish them: you aren't reaching people, you're reaching them but not booking them, you're booking them but they aren't showing, or they're showing and not buying. Split the number into the four stage rates and compare each against the rough benchmarks — 63%, 42%, 58% and 41%. The stage furthest below its benchmark is your answer. In practice the show rate is the most common culprit and the least measured, and it's also the highest-leverage stage.
GhostDrive records appointments as events — set, showed, no-showed — so your show rate is measured instead of remembered, and reports every stage rate by source and by rep against reconciled attribution. You stop arguing about whether the floor is closing and start seeing which stage is leaking.