Glossary / Shop business & metrics

Speed to lead

Speed to lead is the elapsed time between a new inquiry arriving and a real reply going back to the person who sent it. Two details in that sentence do the work. The clock starts at arrival, not at the moment somebody opened the app; and it stops at a real reply, not at an acknowledgement that tells the customer nothing they did not already know.

Measured that way it is usually worse than a shop expects, because the inquiries that take longest are the ones nobody saw: the missed call at 4:40pm, the message on a social profile nobody has logged into this week, the form that went to an inbox somebody left.

It is a measure of the shop's front door rather than of anybody's diligence, which is the useful thing about it. A slow median is almost never a person not trying hard enough; it is a channel with nobody watching it.

Picture the customer rather than the funnel. They have decided to get their front end done, they have opened three shops' pages in three tabs, and they have sent three messages in about four minutes. Then they put the phone down and go back to work.

The first reply to arrive is not competing with the other two yet, because the other two have not happened. It gets to ask which vehicle, offer a slot, and start a conversation. By the time the second shop answers, the customer is mid-thread with somebody else and the second message reads like an interruption.

That is the whole mechanism, and it is why speed beats polish here. A fast, plain answer that asks the right question is worth more than a beautiful quote that arrives the next morning — by which time the job may already be booked somewhere else.

The four doors a shop's inquiries come through have genuinely different expectations attached, and treating them as one queue is how the fastest channel ends up being answered last. The table describes what each one implies; no figures, because what your customers tolerate is a fact about your market rather than about the industry.

The missed call is the one worth fixing first, for a simple reason: it is the channel where the customer has already given up once. A text back that arrives while they are still in the car park is the difference between an inquiry and a competitor's booking. Turn missed calls into jobs covers the mechanics.

None of those is solved by resolving to be better at it. All four are solved by the same two moves: put every channel in one place, and make the first response happen without a person deciding to make it.

Write down, for every inquiry that arrives over two weeks, the timestamp it arrived and the timestamp a real reply went out. Include missed calls. Include the social messages. Then take the median, not the mean: one inquiry answered three days later will drag an average somewhere useless, and the median tells you what a typical customer actually experienced.

Then split it two ways: by channel, and by whether it arrived inside or outside opening hours. Almost every shop that does this finds the same two things — that one channel is dramatically slower than the rest, and that the out-of-hours median is the one costing real money.

That is the whole diagnostic, and it costs an afternoon. The number it produces is worth more than any benchmark, because it is about your shop. Watch it beside close rate and average ticket rather than alone: the three of them together tell you whether a quiet month was demand, response or pricing.

The first response is the right thing to automate, because it is the one that has to happen in seconds and the one that does not need judgement: confirm you saw them, ask the one question you always ask, and say when a human will follow up. Done well it buys the shop an hour without costing the customer anything.

The follow-up chase is the second. A quote that goes quiet is a job that is still winnable for days, and the reason it is not chased is always the same: the shop got busy. Quote follow up is that problem specifically.

What should not be automated is the part where somebody decides what this customer needs — the panel list, the film tier, whether the paint needs correction first. An automation that answers the question a person should have answered is worse than a slow reply, because the customer can tell.