Made-to-measure blinds UK: cost per order down 62.63%
Impress Blinds · Made-to-measure blinds and window furnishings · United Kingdom
The short version · an earlier measured period to a later one
Blinds searches are cheap to buy and mostly worthless.
The busiest month on record delivered 205.66 orders, but they cost A$23.60 each. By a later period an order cost A$8.82, and a later one again converted 17.47% of the clicks it paid for. Every window here was selected and left undated on purpose.
The result.
−62.63%
cost per order
an earlier measured period to a later one
A$8.82
cost per order
a 14-day period
205.66
orders in the measured period
a 27-day period
17.47%
conversion rate
a 31-day period
1,501.98
tracked orders
across the account's wider run
- Industry
- Made-to-measure blinds and window furnishings
- Discipline
- Retail & e-commerce
- Ad spend band
- $10K–$25K
- Measured over
- an earlier measured period to a later one
Every figure above was read out of this client's live account and is reproduced exactly as the study publishes it. It is a record of what happened on one account, in one market, at one budget — not a forecast for yours.
What would this look like on your account?
Different market, different budget, different numbers. The first call is where we work out whether the same approach fits yours at all.

The case study
What moved for Impress Blinds.
The short list
- Cost per order fell from A$23.60 to A$8.82 between an earlier measured period and a later one — a 62.63% drop.
- The cheaper window carried only 14 days and still produced 100 orders, at a 17.12% conversion rate.
- A later period recorded the account's strongest conversion rate at 17.47%, from 169.99 orders at A$11.27 each and 44 phone calls across 31 days.
- 1,501.98 orders and enquiries and 237 phone calls across the account's wider run, at an average of A$15.43 each.
- Blinds searches are cheap to buy and mostly worthless — the number that matters is not clicks and not enquiries, but how much of the week's diary ends in fabric being cut.
Each line above belongs to the period printed with it. None of them is an average across the account, and none of them is a forecast.
The trap in a cheap-looking category
Impress Blinds sells made-to-measure blinds across the UK. Blinds searches look like a gift on paper: high volume, plenty of people typing, nothing outrageous per click. Spend a week reading what those people actually want and the picture changes.
Most of them are browsing prices for a room nobody has measured yet. Some are halfway up a stepladder with a tape, working out whether a bay window needs three blinds or one. A few are chasing a bargain in a town the business would rather not send a fitter to. Paid search will happily sell you thousands of those visits, and very few of them end with a room being measured.
That gap between traffic and trade is the whole problem in this category. Made-to-measure is not a shelf product. Every sale drags a survey, a slot on the manufacturing schedule and a fitter's morning behind it, so the cost of winning an order has to sit comfortably inside a margin that does not stretch far to begin with.
A bad enquiry costs you twice
In a lot of businesses, a poor enquiry is simply money you should not have spent. In made-to-measure it is worse than that. Somebody answers it, prices it, maybe books a survey for it, and only then finds out the customer was comparing against a two-for-one deal in a supermarket catalogue.
So the number that matters is not clicks, and it is not enquiries either. It is how much of the week's diary ends in fabric being cut. Everything else is activity.
Busy and expensive at the same time
The account was buying real orders. The price of them had drifted upwards, the way it does when nobody is reading the search terms closely. The busiest month on record was also an expensive one: 205.66 orders at A$23.60 each, across 27 days.
If you sell something that has to be manufactured to a customer's measurements, you already know why that combination is uncomfortable. A record month ought to feel like a good month. This one arrived with a cost of acquisition that had to be justified against every blind going out the door. The task was never to find more traffic. It was to stop paying full price for the wrong half of it.
What we took on
Three campaigns, and the windows below were picked out of the account and reported without their dates on purpose. Across the account it served 160,043 impressions, took 11,423 clicks and recorded 1,501.98 orders and enquiries. Enough solid months to judge the account properly.
We rebuilt the account around the enquiries that turn into fitted work, and wrote the ads to the job the customer wanted done rather than to a generic product page. Alongside that ran the slow part: reviewing what people typed to reach the site, then steadily removing the browsing, bargain-hunting and how-to traffic that had been quietly absorbing the budget. No single week of that looks like much. Sustained, it rewrites the economics of an account.
Cost per order down 62.63%
From A$23.60 per order in an earlier period to A$8.82 in a later one — a fall of 62.63%. The cheaper period carried only 14 days and still produced 100 orders, at a 17.12% conversion rate.
The line chart is the part worth sitting with. Dashed segments are the chart being honest about months too thin to plot, and the months either side of them show the cheaper price was not a one-off dip. The bar chart is the counterweight: the earlier period still holds the volume record at 205.66 orders, so the improvement in price did not come from a business that had gone quiet.
Worth being clear about that cheaper period as well. Fourteen days is a short month, and short months can flatter an account. It still produced 100 orders, which is the sort of output a full month would normally be pleased with, and it converted 17.12% of the clicks it paid for while doing so.
Then the quality held
A later period recorded the strongest conversion rate the account has had — 17.47%, from 169.99 orders at A$11.27 each and 44 phone calls across 31 days. Better orders, not merely cheaper ones.
Across the account's wider run, 13.15% of the visits the business paid for turned into a tracked order or enquiry. Roughly one in every eight.
- A$23.60 → A$8.82 cost per order, an earlier measured period to a later one — a 62.63% drop
- 100 orders in the cheaper period, from 14 days, at a 17.12% conversion rate
- 169.99 orders at A$11.27 each in a later period, with a 17.47% conversion rate and 44 phone calls over 31 days
- 205.66 orders in an earlier period, the highest single-month volume, over 27 days
- 1,501.98 orders and 237 phone calls across the account's wider run, at an average of A$15.43 each
- 7.14% click-through rate and a 13.15% conversion rate over that same run
What it meant for the business
One in eight is a ratio a workshop can plan around. For made-to-measure, where each sale carries a survey, a manufacture slot and a fitting, that ratio decides whether the bench is full or the fitters are sitting in the van park waiting on a diary that never filled up.
The more useful change is the shape of the account. The early peak was volume bought at a price that needed defending every month. By the last of the periods we are reporting, a far higher share of a smaller, better-qualified stream of visitors was converting — 17.47% in that month — and that is a much easier position to schedule production from. Same category, same competitors, very different arithmetic.
There is a quieter benefit as well. When the cost per order stops jumping around, you can decide how hard to push based on how full the workshop is, rather than on a guess about what next month will charge you for the same customer.
It also gives you a straight answer to a question most retailers can only estimate. Ask an owner what a new order costs to win and you usually get a shrug and a monthly invoice. Ask this business and the answer is A$15.43 on average across the account's wider run, with the good months well under that. You can price against a number like that. You cannot price against a shrug.
None of this required a bigger budget or a different product. The blinds are the same blinds. What changed is which people saw the ad, and how many of them turned out to be worth a fitter's time.
Get in touch
If you sell something that has to be measured, made and fitted, tell us what a good month looks like in your workshop. We will tell you whether your current account is capable of producing one — and if it is not, what is standing in the way.
Tags
- Made-to-measure blinds and window furnishings
- United Kingdom
- $10K–$25K
That is one account. Yours is a different one.
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The questions this raises.
Whether the figures are real, how they were measured and over what length of window, what it costs, and whether any of it would hold for your business.
The first call is free and there is no deck.
Book a callWhat does an order cost to win in made-to-measure blinds?
In this account, A$8.82 in the cheapest of the periods we are reporting, A$11.27 in a later one, and A$15.43 averaged across the account's wider run. The earlier volume record cost A$23.60 an order. Ask most retailers what a new order costs to win and you get a shrug and a monthly invoice; the point of publishing a figure like A$15.43 is that you can price against it.
Why is a high-volume month described as a problem?
Because it was expensive as well as busy: 205.66 orders at A$23.60 each across 27 days. If you sell something that has to be manufactured to a customer's measurements, every sale drags a survey, a slot on the manufacturing schedule and a fitter's morning behind it. A record month that arrives with a cost of acquisition you have to justify against every blind going out the door is not straightforwardly good news.
Is a 14-day period long enough to prove anything?
On its own, no, and we would rather flag that than lean on it. Fourteen days is a short window and short windows can flatter an account. What makes it worth reporting is what it did inside those days: 100 orders at a 17.12% conversion rate, which is output a full month would normally be pleased with. The periods either side of it show the cheaper price was not a one-off dip.
Why is a poor enquiry worse in made-to-measure than in other retail?
Because it costs you twice. In most businesses a poor enquiry is money you should not have spent. Here somebody answers it, prices it, maybe books a survey for it, and only then finds out the customer was comparing against a two-for-one deal in a supermarket catalogue. Paid search will happily sell you thousands of visits from people browsing prices for a room nobody has measured yet. Across this account's wider run, 13.15% of the visits the business paid for turned into a tracked order or enquiry — roughly one in eight.
Are the figures in this Impress Blinds case study real?
Yes. Every number on this page was read out of the client's own advertising account and is printed here exactly as the study publishes it, beside the period it covers. The dashboard and ad images are screen-grabs of that account rather than recreations. If one of these figures matters to your decision, ask about it on the first call and we will walk you through where it came from.
How were these numbers measured, and over what window?
The headline figure covers an earlier measured period to a later one, and every other figure on the page is printed beside the period it belongs to. We publish the LENGTH of a measurement window and the year, and withhold the exact dates — when a client advertised, and how their trading calendar looks, is their commercial information rather than ours. A conversion means one real action by one real person: a phone call that lasted long enough to be a conversation, a submitted enquiry form, a booking, or a purchase. Not a page view, and not a form that merely loaded.
How much was being spent to produce this?
The study publishes this account's advertising spend as a band — $10K–$25K — rather than an exact figure, because the precise number is the client's business. Our management fee is separate from that and is never folded into a cost-per-lead figure anywhere on this site; mixing the two would flatter every number on the page.
Would this work for my business?
We cannot promise you the same numbers, and nobody honestly can. What this page tells you is what was achievable in that market, at that budget, for that service. Your competition, your service area, your margins and what one customer is worth to you all move the answer. On the first call we build the picture from your figures rather than someone else's, and if the honest answer is that this channel is wrong for you right now, we will say so.
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