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    Proof
    Impress Blinds — cost per enquiry down 62.63%, $23.6 to $8.82SLS Solicitors — cost per enquiry down 58.48%, $84.64 to $35.14FixCare Property — cost per enquiry down 56.36%, $35.24 to $15.38Rubbish Removal WA — cost per enquiry down 53.18%, $71.02 to $33.25Floral Cakery — cost per enquiry down 49.82%, $13.83 to $6.94ILLUMINATE Laser Emporium — cost per enquiry down 48.54%, $138.65 to $71.35Aussie Plumbing — cost per enquiry down 41.96%, $117.75 to $68.34Sydney Fence Painting — cost per enquiry down 33.68%, $136.62 to $90.61Alliance Plumbing — cost per enquiry down 29.6%, $81.26 to $57.21Gridless Build Solutions — cost per enquiry down 29.16%, $78.16 to $55.37FacilityWorx — cost per enquiry down 23.62%, $157.13 to $120.01Cornerstone Roofing — cost per enquiry down 20.47%, $41.71 to $33.17A council finance platform — 194 of 194 requirements metA council finance build — 14 weeks to UAT, −34% 10-yr costA cultural institution — $634K of $750K kept workingA council platform — $470,106 built vs $503,262 SaaSA federal agency — n=5,000 prevalence survey at ±1.4%A civic mural — 36 concepts for a 71m × 9m wallA regional shire — 32-page visitor guide, 3 weeks earlyA shire council — one platform retiring 8 of 9 vendorsA pressure washing business — 138 jobs at A$20.43 eachA pressure washing business — 21.20% conversion rateA carpet cleaner — 53 jobs in 15 days at A$24.92 eachA roofing company — 68 quote requests in 35 daysA CCTV installer — 39 qualified leads in 15 daysA fence painter — 36 jobs in 24 days, quotes by day 3A maintenance business — live in 8 weeks, 3 stacks gone41 numbered clauses, published in full5.0 across every Google review$120M+ in media under management250+ active engagements across five countries
    Retail & e-commerce

    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.

    Made-to-measure blinds UK: cost per order down 62.63%

    The case study

    What moved for Impress Blinds.

    The short list

    1. 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.
    2. The cheaper window carried only 14 days and still produced 100 orders, at a 17.12% conversion rate.
    3. 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.
    4. 1,501.98 orders and enquiries and 237 phone calls across the account's wider run, at an average of A$15.43 each.
    5. 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.

    Cost per enquiry — before and after A$23.6 Before A$8.82 After −62.63% cost per enquiry
    From A$23.6 to A$8.82 across consecutive periods — a 62.63% reduction.
    Cost per enquiry, consecutive periods Consecutive periods of 14+ active days A$0 A$7 A$13 A$20 A$26 gap in plotted periods A$23.6A$8.82Period 1Period 2Period 3Period 4Period 5Period 6
    Cost per enquiry across consecutive measured periods. Best: A$8.82 in Period 4. Highest: A$23.6 in Period 3. Every period since has stayed below it. Dashed segments span periods with too few active days to plot.
    Enquiries, consecutive periods 0 118 237 164 Period 1 189 Period 2 206 Period 3 100 Period 4 204 Period 5 173 Period 6
    1036 tracked enquiries across 6 consecutive periods. Strongest: 206 in Period 3.

    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.

    We read your ads, your search presence and your tracking the same way this one was read, and tell you what we would change first.

    What every number on this page actually means.

    Marketing words get used loosely, and a loose word can make a small result look like a big one. Here is exactly what we mean by each of them.

    Conversion
    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.
    Cost per job · cost per lead
    The advertising money spent, divided by the number of those actions. It is the only figure that tells you whether the advertising is worth doing, which is why we publish it next to the count.
    Conversion rate
    The share of people who clicked the ad and then did the thing. A high click count with a low conversion rate usually means the ad and the page are promising different things.
    Ad spend
    Money that went to the advertising platform, not to us. Our management fee is separate and is never included in a cost-per-job figure, because mixing them would flatter the number.
    The measurement window
    The dates the figure covers, named every time. Where a study covers a launch, the clock starts the day campaigns went live — not the day the graph started looking good.
    A starting point
    Where a study knows what a figure was before the work began, that number is printed next to the one it became. Where the account had no history to compare against, the result is printed on its own rather than measured from a number nobody recorded.
    Qualified lead
    An enquiry that matched the service and the service area, so it was worth someone picking up the phone for. Where a study says qualified, somebody checked.
    An anonymised client
    Government, council and cultural-institution engagements are published as sector and jurisdiction only. The work and the measured outcome are described in full; the organisation is not named.

    One more, because it matters most: nothing on this page is a guarantee. It is a record of what happened on one account, in one market, at one budget.

    What this study cannot tell you is what the same figure looks like on your account — so the break-even ROAS calculator, with your own click price and close rate. It takes about a minute and asks for nothing.

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    This page exists because of two of the six stages.

    Compound is how our team works on any account — six stages every change passes through. Two of them are why there is anything honest to publish.

    • Meter

      If it can't be measured, it doesn't get bought.

      Before a dollar moves, every action worth money to the business is tracked as itself — calls, forms, bookings, purchases — with values attached. Without that stage there is no honest number to publish afterwards.

    • Ledger

      Every change we make becomes a record you can open.

      Every change lands in a dated record as it happens — what was added, what was stopped, what was rewritten and what it cost. Writing this page afterwards was reading a file, not reconstructing a memory.

    If you want one of these

    What actually happens after the first call.

    No mystery and no lock-in before you have seen anything. This is the sequence every account on this site went through.

    1. The call

      Thirty to forty-five minutes, free

      What you sell, who buys it, and what one customer is worth to you. No deck. You leave with a real number for your situation rather than a range.

    2. Week 0

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    5. Days 1–14

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    6. From there

      Rhythm

      Weekly optimisation, reporting on a fixed cadence whether the news is good or bad, and a proper conversation each quarter about where the next block of budget should go.

    Before you ask us anything

    Here is what everybody asks first.

    FAQ

    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 call
    What 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.

    More accounts, same discipline.

    Studies from the same kind of work, so you can see how the pattern holds across different businesses.

    Everything above was delivered by one of a handful of things we do. These are the ones this account leant on, written up in full rather than summarised.

    The briefing behind the work.

    The case study records what happened. These two explain the channel, measurement or operating decision that made the result interpretable in the first place.

    Why the primary and secondary categories must match the work a business actually wants. That case is argued in Google Business Profile categories as a silent rank constraint.

    The profile and service-area rules for the mobile businesses represented throughout this library. The other half of it is set out in Ranking a service-area business without publishing a storefront.

    The work behind this one is written up in full under seo for stores and product catalogues, and the ninety-day plan that produced results like these sets out the sequence in order.

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