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    Forecasting

    What does a daily budget actually buy?

    Set a daily budget, click price and conversion assumptions. This works forward to clicks, enquiries and jobs, and shows how the result changes if your conversion rate is 50% lower or higher. Starting inputs are hypothetical.

    Your numbers

    Spend

    What you are willing to spend a day, in Australian dollars.

    How long you want to model. Thirty days is the usual planning unit.

    Auction

    Your average click price in Australian dollars. The $10 starting point is hypothetical.

    The share of visits that end in an enquiry. The 10% starting point is hypothetical.

    Your business

    From your own job book. A round placeholder until you replace it.

    Average invoice excluding GST.

    Start from:

    The answer

    Updates as you type, in your browser. Nothing leaves this page unless you ask us to send you the report.

    Enquiries over the period

    30

    15 to 45 under the lower and higher assumptions

    Change a number and this link updates with it, so whoever opens it lands on the result you are looking at.

    Spend

    $3,000

    $100.00 × 30 days

    Clicks

    300

    At $10.00 each

    Cost per enquiry

    $100.00

    At 10% conversion

    Jobs

    9

    At 30% closing

    Cost to win a job

    $333.33

    Against $1,200.00 of revenue

    Send me this result

    We will turn the numbers above into a PDF with your figures, the workings and what they mean — and hand it straight back to you here, to read or to keep.

    What to do with this

    • $3,000 over 30 days buys about 300 clicks. At 10% that is 30 enquiries at $100.00 each.
    • The sensitivity scenarios return 15 to 45 enquiries at conversion rates 50% below and above your input, capped at 100%.
    • At 30% closing and $1,200.00 a job, that is 9 jobs and $10,800 of revenue — $3.60 of revenue per dollar spent. Whether that is profitable depends on your margin, which the break-even calculator handles.
    • Set the daily budget and leave it alone for at least three weeks. Changing it weekly is the single most common way an account is prevented from settling.

    How this was worked out

    Spend
    $100.00 × 30 = $3,000
    Clicks
    $3,000 ÷ $10.00 = 300
    Enquiries
    300 × 10% = 30
    Cost per enquiry
    $3,000 ÷ 30 = $100.00
    Jobs
    30 × 30% = 9

    The same spend at the low, entered and high conversion rates

    Click-to-enquiry rateEnquiriesCost per enquiryJobsWhere the rate comes from
    5%15$200.004.550% below your input
    10%30$100.009The figure you entered
    15%45$66.6713.550% above your input, capped at 100%
    8.1%24.2$124.227.2United States median, Home & Home Improvement

    Sensitivity rows are hypothetical changes to your input. The separate United States row retains its source market; its published click price is US$8.33.

    What this does, and how the maths works

    What it does

    • Works forward from a daily budget: spend, clicks, enquiries, jobs, and what each of those costs.
    • Shows sensitivity at 50% below and above your entered conversion rate, capped at 100%. These are hypothetical scenarios.
    • Shows the click price you entered next to the published United States median, with the market stated, because there is no Australian equivalent to compare against.

    How to use it

    1. Enter the daily budget you are considering and the number of days you want to model. Thirty days is the usual planning unit.
    2. Enter your average cost per click, or test an assumption. The starting $10 is hypothetical.
    3. Enter the share of clicks that become enquiries. The starting 10% is hypothetical.
    4. Read the band, not the middle number. If the low end is not survivable, the budget is not ready.

    The formula

    • Monthly spend = daily budget × days
    • Clicks = spend ÷ cost per click
    • Enquiries = clicks × click-to-enquiry rate
    • Cost per enquiry = spend ÷ enquiries
    • Jobs = enquiries × lead-to-job rate

    Reading the answer

    • Check that the lower-conversion scenario remains affordable before committing to the plan.
    • If the low end produces fewer than about ten enquiries a month, the account will be hard to read: a single unusual week will move every figure and you will make decisions on noise.
    • The click price is the input you have least control over and the conversion rate is the one you have most. If the numbers do not work, the landing page is usually a cheaper fix than the bid.

    What it cannot tell you

    No ramp, no seasonality, no auction feedback. A real account spends its first weeks learning and pays more per enquiry while it does. The click price is also not fixed: bidding for more volume raises it, which is why doubling the budget rarely doubles the enquiries.

    This calculator, already filled in

    Each scenario explains a practical question using hypothetical starting inputs. Replace those inputs with your own records or the assumptions you want to test.

    Where every figure on this page came from

    Replace the example inputs with your own figures. Sourced inputs link to their reference and identify the original market and currency.

    1. WordStream / LocaliQ, Google Ads Benchmarks 2026

      WordStream (LocaliQ) · 2026 · measured in US · high confidence

      13,474 United States search campaigns, 1 April 2025 to 31 March 2026. Figures are medians.

      United States data. Australian auction prices are widely believed to differ, and no published Australian dataset measures by how much.

    FAQ

    Frequently Asked Questions

    Everything you need to know about working with SoudCoh

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    Book a call

    In a hypothetical example, $100 a day for 30 days is $3,000. At an assumed $10 click price, that buys 300 clicks. A 10% enquiry rate produces 30 enquiries; the 5% and 15% sensitivity cases produce 15 and 45. Actual results depend on your account.

    The $10 click price and 10% conversion rate are round, hypothetical planning inputs. They are not client results or local benchmarks. Enter your own measured figures when available.

    This model is linear when all other inputs stay fixed. A real auction can change as budget increases, so test different click prices and conversion rates before scaling.

    Use enquiries divided by clicks from a consistent reporting period. If you do not yet have data, test several explicitly hypothetical rates and replace them as your campaign records accumulate.

    They multiply your entered conversion rate by 0.5 and 1.5, with the upper rate capped at 100%. These are sensitivity calculations, not a confidence interval or an observed range of client results.

    If the number is uncomfortable

    We will read
    your real ones.

    Send us the account rather than the estimate. We will tell you what it is actually costing to win a job, which part of the chain is leaking, and whether it is worth fixing — before anyone asks you to sign anything.