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Sydney, NSW

Google Ads Management in Sydney

Google captures demand that already exists — so in a Sydney account the feed, the structure and the query data do the work, not the creative.

Delivered remotely for brands across Sydney and Australia.

Grow · Sydney

Why Sydney brands come to us for this

  • Merchant Center rebuilt with GST-inclusive prices that match the landing page and delivery settings that match real carrier performance by zone
  • Brand, non-brand and competitor campaigns separated so the growth number is not propped up by demand you already earned
  • Performance Max split by margin and stock cover, not run as a single bucket with brand traffic inflating the result
  • Weekly search-term and Shopping query mining, feeding negatives and surfacing the non-brand terms worth their own campaign
  • Budgets planned across Click Frenzy, Black Friday and Boxing Day as one ten-week auction event rather than three separate surprises

Someone has already decided they want linen sheets or a rash vest, and they have typed it. The job is to be there with an accurate price, an accurate delivery promise and a product page that closes. That makes Merchant Center feed quality the first and largest piece of work in any Australian account. Prices have to be submitted GST-inclusive and match the landing page exactly, GTINs and brand fields have to be right, and shipping and delivery-time settings have to reflect your actual carrier performance by zone — because Google surfaces those delivery estimates in Shopping, and an optimistic one gets punished twice, first at checkout and then in your return rate.

Structure comes second and it is mostly about honesty in reporting. Brand search in a market this size can look like a triumphant account when it is really a tax on demand you already earned through Instagram, PR or a stockist. We separate brand, non-brand and competitor activity into distinct campaigns with their own budgets and their own targets, so the non-brand number — the one that says whether Google is actually growing the business — is visible every week rather than hidden inside a blended ROAS.

Then Performance Max, which in Australian accounts is frequently doing something less impressive than its reporting suggests. We build it with the asset groups and listing groups split by contribution margin and weeks of cover rather than left as one bucket, we keep brand terms out of it where the account allows, and we mine search terms and Shopping queries weekly to feed negatives and to find the non-brand demand worth building a dedicated campaign around. Bidding targets are set against contribution margin after freight and BNPL fees, not against a revenue number that looks good and loses money on every Darwin delivery.

Feed firstMerchant Center health fixed before structure or bidding is touched
Weekly query miningsearch terms and Shopping queries reviewed every week, with negatives applied
Margin after freighttROAS targets set on contribution that accounts for zone freight and BNPL fees
Local context

The auction has its own Australian calendar

Australian search demand does not follow the US retail clock, and an account run on northern-hemisphere assumptions leaves money on the table twice a year. Click Frenzy in November, Afterpay Day, Black Friday as an imported but now serious event, and then Boxing Day — which for many local brands is a bigger single day than Black Friday — stack into a ten-week period where CPCs climb and budgets need to be planned rather than defended. On the other side, category demand runs in reverse: swim, outdoor, cooling and travel build from September, and winter categories peak while the US is in high summer. Two further local specifics change the feed work. Free-shipping thresholds and delivery estimates need to be represented accurately in Merchant Center, because a national free-shipping annotation that does not actually apply to WA is both a disapproval risk and a refund generator. And price competitiveness against Amazon.com.au and eBay listings of your own product is worth monitoring in the Merchant Center price reports, since it quietly determines whether your Shopping impressions convert at all.

Scope

What Google Ads includes

The same standard of work we run for every client — applied to a Sydney brand’s realities.

Full service detail
01

Merchant Center & Feed Rebuild

Disapprovals cleared at source, GTIN, MPN and attribute gaps closed, and titles rewritten to lead with searched terms. Custom labels for margin, stock cover and seasonality.

02

Brand, Non-Brand & Conquesting

Branded demand isolated into its own campaign, budget and target so non-brand performance becomes visible. Competitor conquesting runs as a separate line, judged separately.

03

Shopping & Performance Max Structure

Asset groups split by margin band and product type instead of one catch-all, with listing-group bids, product exclusions and brand-term controls applied wherever PMax still allows them.

04

Query Mining & Negative Hygiene

A weekly pass over search terms and PMax category reports, with a maintained shared negative library so budget stops leaking into research, DIY and job-seeker queries.

05

Promotions & Merchant Programs

Merchant promotions, sale price annotations, shipping and returns policy setup, product ratings, and local inventory ads where you have stores worth feeding.

06

tROAS Bidding to Contribution Margin

Targets set from margin per product group rather than a platform default, moved in controlled increments, with a written reason attached to every bid and budget change.

Scoped and quoted for your Sydney store

We do not work off a rate card. Every Sydney engagement starts with a fixed statement of work — named deliverables, named dates, one number — written after we have looked at your store, not before. If a smaller first step would serve you better, we will say so.

Get this scoped
How it runs

From kickoff to results

01

Feed & Account Audit

Merchant Center diagnostics, attribute coverage, campaign overlap and wasted spend scored against ninety days of search terms. You get the findings whether you hire us or not.

02

Fix the Feed

Titles, attributes, product types and custom labels rebuilt before any campaign work. A perfectly structured account on a bad feed still shows the wrong products to the wrong queries.

03

Restructure

Brand, non-brand, Shopping, PMax and Search rebuilt with hard budget boundaries and a shared negative library, so each line answers a different commercial question.

04

Bid to Margin

tROAS targets derived from contribution margin by product group and applied gradually, so the account keeps its learning instead of resetting it every Monday.

05

Mine & Expand

Weekly query mining, monthly feed reviews, then expansion into the categories the search data says you can profitably win. Nothing scales before the query set is clean.

Proof

Google Ads results

Anonymised under NDA. Figures pulled from the client’s own analytics.

Performance Apparel (DTC)

~$6M/yr DTC, 900+ SKUs across size and colour variants, US · Shopify Plus

Returns ran at 31% and refund cost consumed the entire paid media margin. One size chart image served 40 different fits, and 62% of add-to-carts started on a collection page that never showed variant availability. The named constraint: no new product photography budget, so every fix had to come out of the existing asset library and the review corpus.

+29%sitewide conversion rate1.71% to 2.21%, five-month average
+14%average order value$84 to $96 once the threshold bar and cross-sell shipped
31% → 22%return ratenine-point drop, roughly $310k/yr in recovered margin
1.9x → 2.4xblended MERwith paid spend held flat throughout
Engagement Conversion-led rebuild + paid mediaTimeframe 5 months

Consumer Electronics & Accessories

~$9M/yr, 210 SKUs, US + AU · Shopify Plus (migrated from BigCommerce)

Meta ROAS had slid from 3.6x to 1.9x in a year and the team had spent twelve months buying new creative to fix it. The real cause was measurement: the BigCommerce checkout dropped 22% of purchase events and the Conversions API had never been installed, so both ad platforms were optimising on incomplete data. The named constraint: peak season was 14 weeks out, and the replatform had to be live and stable well before Black Friday traffic arrived.

1.9x → 3.4xMeta ROAS, once the 22% event gap closed60 days after server-side tracking went live, spend up 18%. Most of that is signal we recovered, not performance we invented — the honest number is the blended CAC below, which is measured against Shopify orders
-32%customer acquisition cost$44 to $30 blended across Meta and Google
4.1s → 1.7smobile LCPdesktop went 2.9s to 1.2s over the same window
+47%peak-season revenueBlack Friday through Cyber Monday, year over year
Engagement Paid growth audit → migration → paid media retainerTimeframe 6 months
In their words

Clients on this work

Non-brand search revenue ~2x at flat spend

“Six thousand products and a Shopping feed nobody had touched since it was first generated — a third of it was disapproved and we had no idea. They rebuilt the feed off our real product data, fixed the GTIN and size attributes, and split brand off from non-brand so I could finally see what we were actually paying to acquire. They also cut the broad 'baby clothes' terms that were eating a quarter of the budget on people who were nowhere near buying. Spend is roughly flat and non-brand search revenue has close to doubled.”

Director of OperationsKids & baby brand, ~$5M/yr · Atlanta, GA
Verified via Shopify Partner referral
FAQ

Google Ads in Sydney — your questions

Prices submitted to Merchant Center for Australia should be the GST-inclusive amount the customer actually pays, and they must match the landing page exactly. Mismatches between feed price and page price are one of the most common disapproval causes we find in inherited accounts, and they are usually caused by a market or currency setting rather than a deliberate choice. We reconcile the feed against live product pages as a standing check, not a one-off.

Only where it is genuinely true. Shipping annotations and delivery estimates in Shopping are read as promises, and a national free-shipping claim that quietly excludes remote postcodes generates both disapprovals and angry post-purchase conversations. We configure shipping settings by zone so the annotation shown to a Perth searcher reflects what a Perth buyer will actually be charged, which is less impressive and considerably more profitable.

It changes it rather than breaks it. When a marketplace lists the same item cheaper, your Shopping impressions still serve but convert worse, and the account looks like it has a bidding problem when it has a pricing and distribution problem. Merchant Center price competitiveness reporting makes this visible, and the fix is usually commercial — bundle composition, exclusives, or resolving the channel conflict — rather than an account change.

Optimisation work happens during our day, which is your overnight, so changes are in place and documented before you open the account. You get a weekly written readout with the query mining, budget pacing and what changed, plus a monthly call early in your morning. Anything urgent — a feed disapproval, a runaway campaign — has a documented escalation path that does not wait for a scheduled meeting.

Yes, once the feed and the exclusions are right. PMax on a clean feed with margin-segmented asset groups and brand controls is the strongest Shopping vehicle Google has shipped. PMax on a neglected feed is an expensive way to sell bestsellers to people who were buying anyway.

Because Shopping never sees your keywords, only your feed. Title, product type, GTIN and attributes decide which queries you are even eligible for. We routinely find a quarter of a catalogue disapproved or serving on the wrong terms, and fixing that moves revenue before a single bid changes.

Usually yes, but as a separate campaign with its own target and its own conversation. Branded clicks are cheap and convert well, which is exactly why blending them into non-brand hides whether the rest of the account works. Where the spend is material we run a holdout to see what is genuinely incremental.
Next step

Google Ads for your Sydney brand.

Thirty minutes with the strategist who would actually run your account. We screen-share your store, read your data live, and tell you the three highest-value things we can see from the outside.

Shopify or Shopify Plus stores doing $150k/mo or moreFounder, CEO or eCommerce lead on the callNo deck and no pitch — we open your store instead

Prefer to write it out? [email protected] gets a real reply the same business day, Mon-Fri, 9am-6pm MT.