House cleaning ads in Darwin, by opportunity
A Google Ads click for a house cleaner in Darwin costs A$7.51 at the median (108 searches a month, pulled October 2026, Google Ads via DataForSEO). No margin is published for house cleaners here, so the payback figures need your own. No niche clears the Quick cash, Big tickets or Client book tests on these numbers, so the plan below works niche by niche.
No margin is published for house cleaners here, so the payback figures need your own.
Dot colour: a niche pays back within the US benchmark call rate (green), needs up to twice that call rate (amber), or needs more than twice that call rate (red); a red niche only reads "needs repeat work or a bigger clean" when its break-even call rate is over 100%. Teal means no urgent-intent benchmark exists for this niche, so compare the break-even rate with your own call rate instead.
Where the money is, by niche
No niche clears a payback test on these numbers, so every niche is shown together. Figures use Darwin click prices and the clean rates in the plan below; change the rates there and these update.
Every niche: General and near me
No niche clears the payback tests yet. General and near me covers 'house cleaning', 'cleaning services', 'house cleaning near me' and 'cleaning services near me': 60 searches a month at A$5.46 a click.
What A$1,000 a month buys in Every niche (worked example)
Enter a budget and the clean rates to see what this segment buys.
Keywords in Every niche
Every keyword here belongs to a niche. See the full keyword table.
Every niche, grouped by segment
Tap Plan on a niche to plan it. Use Sort to re-order. Green pays back within the US benchmark call rate, amber needs up to twice that, red needs more.
Google data+
Published price guides+
US benchmarks+
Assumptions+
| Niche | Clean value (default) | Clicks that call | Calls that book | Margin per extra clean | Repeat | Confidence |
|---|---|---|---|---|---|---|
| General and near me | A$220 | 8.05% (LocaliQ 2026 Search Advertising Benchmarks - Home & Home Improvement) | 42% (ServiceTitan - Typical call-booking rate for trades) | put in yours | put in yours | None |
| Regular house cleaning | A$170 | 8.05% (LocaliQ 2026 Search Advertising Benchmarks - Home & Home Improvement) | 42% (ServiceTitan - Typical call-booking rate for trades) | put in yours | put in yours | None |
| End of lease and bond cleaning | A$400 | 8.05% (LocaliQ 2026 Search Advertising Benchmarks - Home & Home Improvement) | 42% (ServiceTitan - Typical call-booking rate for trades) | put in yours | put in yours | None |
| Deep and spring cleaning | A$380 | 8.05% (LocaliQ 2026 Search Advertising Benchmarks - Home & Home Improvement) | 42% (ServiceTitan - Typical call-booking rate for trades) | put in yours | put in yours | None |
| Carpet cleaning | A$220 | 8.05% (LocaliQ 2026 Search Advertising Benchmarks - Home & Home Improvement) | 42% (ServiceTitan - Typical call-booking rate for trades) | put in yours | put in yours | None |
| all niches | put in yours | 8.05% (LocaliQ 2026 Search Advertising Benchmarks - Home & Home Improvement) | 42% (ServiceTitan - Typical call-booking rate for trades) | put in yours | put in yours | None |
Keyword table
One keyword carries more than half of the searches. Each keyword is tagged with the segment its niche belongs to; the shared pool can feed any of them. Google rounds search volumes and estimates prices; treat small differences as noise. "Top-of-page bid, low to high" is Google Ads' own estimate of what you would need to bid to show near the top of the results page, not a price anyone has paid.
The market every segment shares
These numbers don't pick a segment for you. They set the size of the prize and the price of entry for all of them.
House cleaning ads across the 25 cities
Geelong has the dearest clicks (A$20.14) and Bendigo the cheapest (A$3.64). Darwin is 4th of 25 cities by median cost per click, mid-table, and 17th of 25 cities by monthly searches, mid-table.
| City | Cost per click (A$, median) | Searches a month | Change vs last year |
|---|---|---|---|
| Geelong | 20 |
138 |
-29.5% |
| Adelaide | 19 |
1,386 |
-15.2% |
| Gold Coast | 18 |
888 |
-8.7% |
| Canberra | 16 |
428 |
-27.8% |
| Perth | 15 |
1,590 |
-29.5% |
| Toowoomba | 15 |
110 |
0.0% |
| Sunshine Coast | 15 |
194 |
-24.8% |
| Newcastle | 14 |
272 |
-40.9% |
| Bunbury | 13 |
56 |
-8.2% |
| Wagga Wagga | 13 |
62 |
-3.9% |
| Hobart | 12 |
121 |
-5.2% |
| Central Coast | 12 |
248 |
-9.7% |
| Sydney | 12 |
6,724 |
-34.1% |
| Brisbane | 12 |
3,711 |
-25.5% |
| Melbourne | 12 |
7,257 |
-39.1% |
| Wollongong | 11 |
222 |
+9.9% |
| Cairns | 11 |
153 |
+17.9% |
| Mackay | 11 |
78 |
+1.1% |
| Albury-Wodonga | 9.71 |
61 |
-20.7% |
| Ballarat | 8.45 |
80 |
-26.7% |
| Townsville | 7.86 |
133 |
-27.6% |
| Darwin | 7.51 |
108 |
-12.2% |
| Rockhampton | 7.35 |
67 |
+2.6% |
| Launceston | 4.60 |
74 |
-33.1% |
| Bendigo | 3.64 |
70 |
-4.5% |
Sorted by cost per click, dearest first. The number in each cell is the value and the bar behind it shows its size. Prices from A$10 up are rounded to the dollar; prices under A$10 show cents; a city with no Google price sits at the bottom. Amber bars are falls in change vs last year. A dark dot marks a capital city. Darwin is in bold with darker bars.
Competition in Northern Territory
Business counts and job ads are published by state, not by city, so this section shows Northern Territory figures for house cleaners; every NT city in this set shares them.
The business count uses ANZSIC 7311 Building Cleaning, Pest Control and Gardening Services and job ads use ANZSCO 8113 Domestic Cleaners, the closest published codes; they cover more businesses than house cleaners alone.
House cleaner job ads in NT and house cleaner searches in Darwin, each against the year before.
NT is 4th of 8 states and territories by businesses per 10,000 people, mid-table.
Estimate: searches per business, Darwin: 0.2 a month (assumes even business density across Northern Territory; Darwin holds 60.2% of Northern Territory's population).
Four years of house cleaner searches in Darwin
House cleaner searches in Darwin are down 12.2% year on year, averaging 108 a month. The last 12 months are in dark blue.
Total searches in each 12-month block.
Seasonality
March is the peak month, running 16.5% above the average month for house cleaner searches in Darwin; February is the quietest, 16.8% below.
Advertising rules
Sixty Steps found no national advertising code specific to house cleaners; check any licence-display rule with your own state regulator before relying on this page. For general advertising and consumer-law obligations, see the ACCC advertising and selling guide.
Questions people ask about house cleaner ads in Darwin
What does a Google Ads click cost for a house cleaner in Darwin?
A$7.51 a click is the typical (median) cost across all house cleaner search terms in Darwin (Google Ads via DataForSEO, pulled 2026-10-12). That is 4th of 25 cities by median cost per click, mid-table.
How many people search for a house cleaner in Darwin each month?
108 searches a month on average over the last 12 months, down 12.2% year on year (Google Ads via DataForSEO, pulled 2026-10-12).
Which house cleaner clean pays back fastest on Google Ads in Darwin?
No margin is published for house cleaners here, so the payback figures need your own. Put in your own numbers in the planner to see which pays back.
Where do the numbers on this page come from?
Google Ads search volume and cost per click from DataForSEO (pulled 2026-10-12); clean values from published Australian sources where one exists; click-to-call and call-to-book rates from US industry benchmarks; business counts from the ABS. Full sources are listed at the bottom of this page.
Where this page sits
This is one of 541 pages: 22 services across 25 cities, all listed on the data hub. Every page uses the same keyword method, pull date and formulas, so figures compare directly.
Business counts and job ads are published by state, so the NT figures on this page cover the whole state, not just Darwin; search volumes and click prices are pulled for Darwin itself.
Want someone to read your account against these numbers?
A free teardown looks at your last 90 days of Google Ads and tells you what to ask your agency. Or email your benchmark and the figures you typed above come with it; nothing is sent until you press send.
Method
Search terms: a fixed keyword set per service, tagged by intent (service, generic, near me and adjacent), targeted to each city using Google Ads city-level location codes, not a text match.
Headline monthly searches is the mean of the last 12 months of the core keyword set; the full 48-month series is shown on the chart.
Year-on-year change is total core-keyword searches in the last 12 months against the 12 months before that, for Darwin's own totals (the two most recent 12-month blocks in the demand table).
Headline cost per click is the volume-weighted median of each keyword's mean cost per click over the core set, called "typical cost per click (median)" throughout. The top-of-page bid is shown separately with its own label; the highest single-keyword cost per click is never the headline.
A keyword is flagged Volatile when its 24-month maximum is 2.5 times its minimum or more, or when a single month makes up 40% or more of its 12-month total. Volatile keywords stay in the totals.
Prices convert from Google Ads US dollars to Australian dollars at the US Federal Reserve's H.10 monthly average rate for September 2026 (1 AUD = 0.7115 USD). Ranks compare cost per click (cheapest to dearest) and monthly searches (most to fewest) across the 25 cities with data for this service and across the cities in the same state, and business density (fewest to most) across 8 states and territories; a trend is only stated when the change is 5% or more.
Segments: each niche is tagged by how its own numbers pay back. Quick cash clears its ad cost on the first clean; Big tickets have the largest profit per clean in the service; Client book pays back over 12 months of repeat visits. A niche can carry up to two tags, or none ("not proven on these numbers") if neither test clears the bar. A niche with no published price carries "No price source yet" and asks you to put in yours. General and near-me keywords sit in a shared pool.
Confidence: each niche carries a confidence level (High/Medium/Low/None) for its weakest input among search volume, click price, clean value and margin. High means sourced for this exact city or an official AU figure. Medium means AU-sourced but national or industry-level. Low means a single weak source, an overseas figure or a US benchmark. None means no sourced figure; put in your own.
The modelled figure on this page is "searches per business" in the competition section, which assumes business density is even within a state, so a city's share of state businesses is approximated by its share of state population; it is the only number tagged "(estimate)". The segment cards, niche table and plan are a worked example using example clean rates you can replace with your own. Every other figure is a direct read from the source cited in the data section.
Data and sources
Next refresh planned January 2027. Download the monthly data as CSV.
| Dataset | Licence |
|---|---|
DataForSEO Google Ads search volume DataForSEO, retrieved 2026-10-12 | DataForSEO Terms of Service (paid API licence) |
ABS Counts of Australian Businesses (CABEE) Australian Bureau of Statistics | CC BY 4.0 |
ABS Estimated Resident Population Australian Bureau of Statistics | CC BY 4.0 |
JSA Internet Vacancy Index, ANZSCO 8113 Jobs and Skills Australia | CC BY 4.0 International |
US Federal Reserve H.10 Foreign Exchange Rates Board of Governors of the Federal Reserve System | Public domain (US government work) |
Search data pulled 2026-10-12 from Google Ads via DataForSEO. Prices in A$ at the US Federal Reserve September 2026 average (1 AUD = 0.7115 USD). Method, sources and CSV.
Google Keyword Planner estimates via DataForSEO, not what you'll pay at auction; your own Google Ads account shows your real price.
About this data
Search volumes and click prices are licensed from DataForSEO (Google Ads data) and can't be re-pulled without a paid account. Business counts, job ads and exchange rates are open government data you can download yourself. Published by Sixty Steps, which runs ad accounts for local businesses.
Related: House cleaning in Melbourne, House cleaning in Sydney, House cleaning in Brisbane, House cleaning across Australia.