E-commerce SEO services, Australia
Australian shoppers search with their own words: colour not color, "free shipping australia", "afterpay", "buy online australia". We build collection and category pages, product pages and Google free listings for the way your customers search from Perth to Brisbane, then report organic orders and organic share of revenue every month, so SEO sits next to Google Ads and Meta in the same report.
US$3,000 a month, ex GST (proxy price)
Customer success journey
Australians spent A$82.6 billion online in 2025, up 14% on the year before, across 9.8 million households, with an average basket of A$96 (Australia Post 2026 eCommerce Report, Mar 2026). Eightx's summary of the same report puts online at about 24% of retail. The stores that win those searches nationally are the ones whose collection and product pages match what shoppers type. Pick where your store is today, put in your own sessions, conversion rate and order value in AUD, and walk the path month by month. Shopify's own SEO guide (Oct 2025) says SEO results typically take three to six months, and 12 months or more in highly competitive verticals, so the model keeps months 0 to 3 close to flat. It is a planning model driven by your inputs, not a promise.
Paid ads and marketplaces carry the store. Google Ads, Meta and marketplace listings bring most orders. Organic visits are mostly brand searches, and collection pages are product grids with no copy. Sessions are a sample number. Conversion is set at 1.0%, an assumption below the 1.46% APAC average (Dynamic Yield, past twelve months to September, read Oct 2026; completed purchases divided by visitors, site-wide and all channels; no Australia-only figure is published there). Order value uses A$96, the national average online basket for 2025 (Australia Post 2026 eCommerce Report, Mar 2026).
National catalogue, filters out of control. You ship Australia-wide with 500+ SKUs, and filters for size, colour, brand and price create crawlable URLs for every combination. Google's guidance (Dec 2025) says this can waste crawling and slow the discovery of new products. Sessions and the A$120 order value are sample numbers. Conversion uses 1.2%, an assumption below the 1.46% APAC average (Dynamic Yield).
Organic grew, then went flat. Brand searches are healthy, but national category queries go to department stores and large retailers. Sessions are a sample number. Conversion uses the 1.46% APAC average (Dynamic Yield, past twelve months to September, read Oct 2026) and order value the A$96 national basket (Australia Post 2026 eCommerce Report, Mar 2026). Both are broad averages, so replace them with your organic-only figures from GA4.
Moving to Shopify or BigCommerce. You are leaving Magento, WooCommerce or a custom build, or you moved in the last year and organic has not recovered. The first job is a redirect map and a check that collections, products and their links carried over. Sessions and the A$120 order value are sample numbers; conversion uses the 1.46% APAC average (Dynamic Yield). Expect the early months to be recovery work against your pre-migration baseline.
Every account, export and document sits in your workspace from day one.
The tracking spec, the crawl export and the fix list.
The keyword map and the filter rules document.
The collection template, the schema spec and the copy brief.
The filter rules as deployed, documented for your developer.
The product copy brief and the out-of-stock rules.
The PR story, the media list and the review document.
The guides, the prompt list and the tracking.
The sale event URL plan and page templates.
The report template and the dashboard in your GA4 or Looker Studio.
The test log and the updated collection copy.
The second story and the schema spec.
The full year of work, documented, in your workspace.
Expected and conservative use the ramps in the assumptions panel. Month 0 is your input with no change.
Non-branded, from your analytics
From monthly organic sessions
From orders, month 0 to the month shown
One bar stands for one month of your orders, divided by where each order came from. For month 0 we borrow ThoughtMetric's May 2026 average revenue mix across the e-commerce brands it tracks and treat it as your order split, which is an assumption: 38.3% Google Ads, 16.8% Meta Ads, 13.8% direct, 9.9% organic search, 8.4% email and SMS and 12.8% everything else. ThoughtMetric does not state its sample size or attribution model, and the figure is not drawn from Australian stores, so swap in the split from your own GA4. From there only organic search moves, following this page's planning model, while every other channel stays fixed at its month 0 volume. Read the organic share as a model, not a forecast.
Bar length is orders a month from all channels, expected case, drawn to one scale.
Only organic search changes with the model. The other channels are held at their month 0 volume, and the month 0 shares (organic search 10%, google Ads 38%, meta Ads 17%, direct 14%, email and SMS 8%, other channels 13%) are an assumption; your channel report replaces them.
This is a planning model built from your inputs and public benchmarks, most of them from vendor and agency sources, and some of them not specific to Australia. It is not a forecast, a promise or a guarantee of rankings, traffic, orders or revenue.
| Month | Monthly organic sessions, cons. | Monthly organic sessions, exp. | Orders, cons. | Orders, exp. | Orders kept after returns, cons. | Orders kept after returns, exp. | Organic revenue (AUD), cons. | Organic revenue (AUD), exp. | Cumulative, cons. | Cumulative, exp. |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 6,000 | 6,000 | 60 | 60 | 60 | 60 | A$5.8K | A$5.8K | A$5.8K | A$5.8K |
| 1 | 6,000 | 6,000 | 60 | 60 | 60 | 60 | A$5.8K | A$5.8K | A$12K | A$12K |
| 2 | 6,000 | 6,120 | 60 | 61.2 | 60 | 61.2 | A$5.8K | A$5.9K | A$17K | A$17K |
| 3 | 6,120 | 6,300 | 61.8 | 64.3 | 61.8 | 64.3 | A$5.9K | A$6.2K | A$23K | A$24K |
| 4 | 6,240 | 6,540 | 63.6 | 68.7 | 63.6 | 68.7 | A$6.1K | A$6.6K | A$29K | A$30K |
| 5 | 6,480 | 6,960 | 67.4 | 75.2 | 67.4 | 75.2 | A$6.5K | A$7.2K | A$36K | A$37K |
| 6 | 6,720 | 7,500 | 71.2 | 83.3 | 71.2 | 83.3 | A$6.8K | A$8K | A$43K | A$45K |
| 7 | 7,020 | 8,100 | 75.8 | 92.3 | 75.8 | 92.3 | A$7.3K | A$8.9K | A$50K | A$54K |
| 8 | 7,320 | 8,760 | 80.5 | 102 | 80.5 | 102 | A$7.7K | A$9.8K | A$58K | A$64K |
| 9 | 7,680 | 9,420 | 84.5 | 113 | 84.5 | 113 | A$8.1K | A$11K | A$66K | A$75K |
| 10 | 7,980 | 10,080 | 87.8 | 121 | 87.8 | 121 | A$8.4K | A$12K | A$74K | A$87K |
| 11 | 8,340 | 10,740 | 91.7 | 129 | 91.7 | 129 | A$8.8K | A$12K | A$83K | A$99K |
| 12 | 8,700 | 11,400 | 95.7 | 137 | 95.7 | 137 | A$9.2K | A$13K | A$92K | A$112K |
For each month m from 0 to 12: Monthly organic sessions(m) = V0 x VisitRamp(m). Orders(m) = Monthly organic sessions(m) x C0 x ConversionRamp(m). Orders kept after returns(m) = Orders(m minus L) x P. Organic revenue (AUD)(m) = Orders kept after returns(m) x Average order value (AUD). Cumulative organic revenue (AUD) = sum of organic revenue (AUD) from month 0 to m. Before month L, orders kept after returns come from the month 0 level of orders.
Each ramp is a multiplier on month 0, one per month. Month 0 is 1.00. Every multiplier is an assumption and is editable below.
| Multiplier | M0 | M1 | M2 | M3 | M4 | M5 | M6 | M7 | M8 | M9 | M10 | M11 | M12 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Visit ramp, expected | |||||||||||||
| Visit ramp, conservative | |||||||||||||
| Conversion ramp, expected | |||||||||||||
| Conversion ramp, conservative |
This is a planning model built from your inputs and public benchmarks, most of them from vendor and agency sources, and some of them not specific to Australia. It is not a forecast, a promise or a guarantee of rankings, traffic, orders or revenue.
| In your model | Today (month 0) | Month 12, conservative | Month 12, expected |
|---|---|---|---|
| Monthly organic sessions per month | 6,000 | 8,700 | 11,400 |
| Orders per month | 60 | 95.7 | 137 |
| Orders kept after returns per month | 60 | 95.7 | 137 |
| Organic revenue (AUD) per month | A$5.8K | A$9.2K | A$13K |
| Cumulative organic revenue (AUD), months 0 to 12 | A$75K if month 0 holds | A$92K | A$112K |
| Area | Today | Month 12 |
|---|---|---|
| Organic revenue | A traffic line in a report, or not measured | Organic orders, revenue in AUD and share of revenue per month, against the month 0 baseline |
| Australian search terms | Pages written with US or supplier wording | Collections and products mapped to the words Australians type, spelling included |
| Faceted navigation | Filters can create far more crawlable URLs than you have products | Filter pages with real demand open, the rest blocked in robots.txt, per Google's guidance |
| Collection pages | A product grid with a title and no copy | 30 collections with intro copy, buying help, FAQ and internal links |
| Product pages | Supplier descriptions shared with other Australian retailers | Your 100 highest-revenue SKUs with unique copy, specs, sizing and delivery information |
| Product schema and free listings | Theme default markup and a feed with errors or no Australian shipping settings | Merchant listing markup and an approved Merchant Center feed with shipping and returns set |
| Links | Mostly supplier and directory links | Earned links from two digital PR stories in Australian media |
| Sale events | New EOFY and Black Friday pages on new URLs each year | Sale event URLs kept live all year, keeping the links they earn |
| Paid search overlap | Google Ads bids on queries you already rank for, unmeasured | An overlap report you can use when you set paid search budgets |
| Ownership | Knowledge sits with whoever ran SEO last | Briefs, templates, filter rules, tracking spec, dashboards and a year two roadmap in your workspace |
Playbook
Each card is a page type and the kind of search it answers, with your names in the brackets.
Shoppers in Australia search with local spelling, local product names and local modifiers such as australia, free shipping and afterpay. We map each query to one collection or category page and write its intro, buying help and FAQ in the words your customers use, so the page matches the search on google.com.au.
Every filter for size, colour, brand and price can spin up its own URL, one per combination. Google's faceted navigation guidance (Dec 2025) advises blocking filter URLs that have no place in Search, using one consistent parameter order and sending a 404 when a combination is empty. Only filters that Australians actually search for get an open page.
We write unique copy for your highest-revenue SKUs, with sizing and the delivery and returns information you actually offer across states. Following Google's product structured data documentation, the merchant listing markup holds price, availability, shipping and return policy. Only genuine customer reviews feed the review markup. Under the Australian Consumer Law, fake reviews and selectively removing genuine negative reviews can be misleading or deceptive conduct, and the ACCC's online reviews guidance spells that out, so writing, buying or filtering reviews is something we refuse to do. Displayed prices stay exactly as your store sets them.
Merchant Center products can appear free of charge on the Shopping tab, in Search, Images and other surfaces. Australian stores must add shipping settings, so we configure them alongside your return policy and keep the feed consistent with each page. Being eligible is not a promise of placement, which is why free listing clicks are tracked apart from Shopping ads.
EOFY in June and Black Friday, Click Frenzy and Boxing Day at the end of the year drive large parts of the Australian retail calendar. We build sale pages on URLs that stay live all year, update them before each event and link them to the collections on sale, so each year starts with last year's links.
A collection page seldom attracts links by itself. With your permission, we turn your own data into digital PR stories for Australian journalists and editors, go after gift guide and roundup spots on merit, and point that coverage at the collections that sell. Buying links is off the table.
Proof
43x
The founder ran SEO and paid search in-house at Brain Station 23, a software development and IT services company. The same method of tracking first, bottom-of-funnel pages next, then links and conversion work, took inbound pipeline to 43x in eight months. That was SEO and paid search together, for an IT services company, not an e-commerce store.
Source: Brain Station 23 internal data, founder's in-house role; published as a multiple only
NopStation, Brain Station 23's nopCommerce e-commerce brand and the founder's in-house work. Not a client result.
Real keywords from NopStation, the founder's in-house e-commerce work, each with its Google position and the country searched from. The chips list every country where NopStation has a keyword in Google's top 10. CMBD has no e-commerce client case study yet. Positions only.
Ranked in
Source: Ahrefs organic keywords export for nop-station.com and its subdomains, 16 Oct 2026. Positions are Ahrefs positions on that date, shown as keyword, position and country only.
Illustration of the goal
Illustration: a Google search for your keyword, with Your brand in the first result, above Competitor 1, Competitor 2 and Competitor 3.
Illustration of the goal, not a promise and not a client result. Competitor 1 to 3 and positions 2 to 4 are placeholders and appear only in this drawing. CMBD has no e-commerce client case study yet.
Pricing
US$3,000a month, ex GST (proxy price)
Australian online retailers with AUD 3M+ online revenue selling nationally
By proposal
Retailers with 10,000+ SKUs, several storefronts, or a New Zealand store alongside the Australian one
Fit
FAQ
Shopify's SEO guide (Oct 2025) puts typical SEO results at three to six months, and at 12 months or longer in highly competitive verticals, with timing driven by domain age and history, competition, content, backlinks and technical SEO. In our model months 0 to 3 stay near flat, because that is when tracking, crawl, mapping and schema get done. Treat it as a planning model; it is not a guarantee.
Dhaka is four hours behind Sydney and Melbourne in winter and five hours behind during daylight saving, so our working day overlaps your afternoon. Monthly reviews run on video at a time that suits you, and all work sits in your own accounts.
Yes. The keyword map is built from Australian search terms and spelling, and page copy follows it: colour, jumper, swimmers, and modifiers such as free shipping australia and afterpay where your store offers them.
Google's faceted navigation guidance (Dec 2025) is our rulebook: filter URLs with no reason to appear in Search get blocked, parameters always appear in one order, and a filter combination with no products returns 404. Where a filter has real Australian demand, it becomes an indexable page with its own copy.
No. Products in Merchant Center can show without charge on the Shopping tab, in Search, Images and other surfaces when the feed meets Google's policies. Australian feeds must include shipping settings. Google never guarantees placement, and Shopping ads are a different product you pay for.
Only stars that come from genuine reviews your customers already leave, marked up the way Google's documentation sets out. The Australian Consumer Law bans misleading or deceptive conduct and false testimonials, and the ACCC's online reviews guidance treats fake reviews, incentives for a particular kind of review and selectively removing genuine negative reviews as misleading. Writing, buying or filtering reviews is not something we do.
We bill in US dollars, ex GST. There is no Australian survey of e-commerce SEO retainers, so the price is set against one Australian agency's published client average (A$5,157 plus GST a month in 2026, about US$3,350). We label it a proxy price so you can check the basis.
Not yet. The evidence we have comes from the founder's in-house role at Brain Station 23, an IT services company, and we present it only as multiples and positions. The first online store that signs with us becomes a pilot; with that store's written permission, its 90-day interim metrics go public as percentages.
No. Google's results are outside anyone's control. What we do commit to is the signed scope, the monthly deliverables and a straight report measured against your baseline.
We cite these as directional, and say so where a figure is secondary.
Over a 30-minute call we review your share of revenue from organic search, your collection pages, your filters and your Merchant Center feed for Australia. You come away with a rough month 0 baseline and, if we are a fit, a written scope.