Google Ads in Australia: Why Suburb Targeting Beats Citywide Campaigns

Muhammad Shahid·AI-Powered Digital Marketing Consultant

Google Ads Certified

Meta Blueprint Certified

Google Analytics Certified

Updated May 2026

Most of the underperforming Australian Google Ads accounts I audit have the same problem. The campaign is set to one citywide location target, the keywords are broad, the landing page is generic, and the monthly report only shows totals for the whole city. That setup hides the real story: one or two suburbs are usually carrying the account while the rest quietly drain budget. This guide walks through how I fix that, what Google's location targeting actually does under the hood, and the suburb-level structure I use across Sydney, Melbourne, Brisbane, and Perth.

What citywide Google Ads campaigns actually deliver in Australia

A citywide Google Ads campaign is one that targets an entire metropolitan area (for example, Sydney within a 40 kilometre radius of the CBD) with a single ad group, one bid strategy, and one landing page. On paper it sounds efficient. In practice it averages performance across suburbs that behave nothing like each other and produces a cost per acquisition that hides as much as it reveals.

Search behaviour in Parramatta is not the same as in Surry Hills. Penrith does not behave like Bondi. Footscray is not Toorak. Mosman is not Mount Druitt. In local services, suburb differences change intent, competition, average ticket size, and conversion quality more than most operators expect. Google Ads rewards relevance, so when the structure ignores those differences, the account pays for the mismatch in lower Quality Scores and weaker leads.

How Google's location targeting works under the hood

Google Ads location targeting is the setting that decides which physical and behavioural signals make a user eligible to see your ad. The official Google Ads Help documentation lists two main location options that most Australian advertisers never touch: “Presence or Interest” and “Presence only”. The default is the broader one, and it is almost never right for a local service business.

Presence or Interest shows ads to people physically in your targeted area plus people anywhere else who have shown interest through their search terms, recent visits, or content they browse. Presence only restricts delivery to people Google believes are actually in (or regularly in) the targeted suburbs. For a plumber in Penrith, Presence only is the right answer. For a Surfers Paradise hotel chasing interstate holiday-makers, Presence or Interest probably is.

I check the location report in every audit. If a Sydney electrician is paying for clicks from Melbourne and Auckland because the campaign is on Presence or Interest, that alone can be worth 20 to 30 percent of the budget. Switching to Presence only is usually the first lever I pull.

The three targeting models: radius, polygon, suburb list

Google Ads supports three practical ways to define a geographic target: a radius around a pin, a custom polygon shape, and a list of named places or postcodes. Each one has trade-offs, and the right pick depends on the service footprint and how dense the city is.

Note the 1 kilometre minimum. In dense inner suburbs like Surry Hills, Fitzroy, or West End, a 1 km circle already covers several postcodes. That is why I usually prefer named-suburb lists over tight radius rings for inner-city service businesses, and reserve radius targeting for outer-suburban or regional jobs where drive time genuinely matters.

Why broad city-level keywords burn budget in Sydney and Melbourne

City-level keywords are search queries that include the city name without a suburb modifier (for example, “plumber Sydney” or “dentist Melbourne”). They look like local keywords, but commercial intent on them is mixed. Some searchers want a tradie this afternoon. Others are researching for a parent. Others are real-estate browsers, students, or interstate buyers.

The bid price on these terms reflects that competition. WordStream's 2024 search advertising benchmarks put the average Google Ads CPC at roughly AUD $4.66, and AdWords-equivalent Australian data from RockingWeb and similar sources tracks about 5 percent below the US figure. But that average hides huge variation by city and suburb. A Sydney CBD legal click can clear AUD $50. A Geelong handyman click can sit under AUD $3.

When you bid on “plumber Sydney” you compete with every plumber within 50 kilometres, every aggregator, every directory, and every brand running a citywide campaign. When you bid on “plumber Mosman” or “emergency plumber Footscray”, you compete with the local operators who actually want that work. The latter is almost always cheaper per qualified lead.

Real CPC ranges across Australian industries

CPC in Australia varies by industry far more than most advertisers realise. The table below shows indicative 2024 to 2025 search CPC ranges based on WordStream's industry benchmarks and Australian datasets from RockingWeb and Bobo Digital. Treat these as directional, not as quotes for your account.

Identifying which suburbs convert and which don't

The fastest way to find your real performance map is to pull a geographic report in Google Ads, segmented by “User location” (where the person actually was) rather than “Matched location” (the targeted setting). I aggregate clicks, cost, conversions, and cost per acquisition by suburb or postcode for the last 90 days, then sort by conversion volume and cost per lead.

In almost every Australian account I have audited, a Pareto pattern shows up: roughly 20 to 30 percent of suburbs deliver 70 to 80 percent of qualified leads. The other 70 percent are spending money to prove nothing. Once that report is in front of the client, the case for suburb-level structure becomes obvious without me having to argue for it.

Location bid adjustments: how I structure them

A location bid adjustment is a percentage modifier applied to bids in a specific targeted area. Under manual CPC bidding, a +30 percent adjustment for Parramatta means Google bids 30 percent more aggressively on auctions where the user is located there. Under Smart Bidding (Target CPA, Target ROAS, Maximise Conversions), these manual adjustments are ignored, as Google's own documentation confirms. Smart Bidding instead uses location as one of many real-time signals inside its model.

The practical implication is that under Smart Bidding, the only reliable way to prioritise specific suburbs is to split them into their own campaign with a stricter target. The table below shows the kind of bid logic I apply when an account is still on manual CPC, and the equivalent campaign-level move under Smart Bidding.

Suburb-specific ad copy and landing pages

Suburb-specific ad copy is ad text that names the suburb in the headline, description, or display path and matches the search term's local intent. Generic city copy may get the click, but Quality Score and conversion rate climb sharply when the ad and the landing page both reflect the suburb named in the query.

I write a tight headline pattern for each cluster (for example, “Penrith Plumber. Same-Day Callouts”), use the suburb in at least one description line, and point the ad to a landing page with the suburb in the H1, the URL slug, and an embedded map. Inside the body I name three or four neighbouring suburbs the business also covers, which signals genuine service-area knowledge to both users and Google.

This is where Google Ads management and Quality Score optimisation overlap. The account performs better when the keyword, the ad, and the landing page belong together.

Location extensions and store visits

Location extensions (now called Location assets in the Google Ads UI) attach a business address, map pin, and distance indicator to search ads. They are pulled from a connected Google Business Profile. For suburb-targeted campaigns, these assets visibly show that the business is a short drive from the searcher, which lifts click-through rate and helps with the “near me” intent that dominates Australian local search.

Where a physical shopfront exists, I also enable store visit conversions if the account qualifies on volume. That gives a meaningful offline metric to feed into Smart Bidding, particularly for hospitality and retail clients in suburbs like Surfers Paradise, Bondi, or Carlton.

Smart Bidding's relationship with location signals

Smart Bidding is Google Ads' family of automated bid strategies (Target CPA, Target ROAS, Maximise Conversions, Maximise Conversion Value) that use machine learning to set bids in real time. According to Google's own Smart Bidding documentation, location is one of the contextual signals the model uses on every auction, alongside device, time of day, browser, audience, and remarketing list.

That has two consequences. First, you cannot override Smart Bidding with manual location bid adjustments, so suburb segmentation has to happen at the campaign level. Second, Smart Bidding needs enough conversion volume to learn, which is why I avoid splitting an account into ten suburb campaigns if total monthly conversions are below 60 to 100. Below that volume, two or three campaigns with well-grouped suburb lists usually outperform a fragmented account.

Audience signals plus suburb targeting

An audience signal is a hint to Smart Bidding about who the ideal customer is, layered over the location and keyword targeting. In Performance Max and Demand Gen, audience signals are explicit inputs. In Search, custom segments and in-market audiences function similarly when added in “observation” mode.

For an inner-Melbourne dental practice, I might layer the suburb list (Carlton, Fitzroy, Collingwood) with in-market audiences for “Dental Services” and a custom segment built from competitor-clinic URLs. The location and audience signals reinforce each other, and Smart Bidding can push harder in moments when both align.

Industry examples: tradies, professional services, hospitality, healthcare

Suburb structure looks different depending on the service economics. Below is how I usually carve up an Australian account by industry.

• Tradies (plumbing, electrical, locksmith): three to five suburb groups based on drive time from the depot. Penrith and Blacktown grouped separately from North Shore. Emergency keywords in their own campaign with Presence-only targeting.
• Professional services (legal, accounting, financial advice): CBD + inner-city in one campaign with high Target CPA, premium suburbs (Mosman, Toorak, New Farm) in a second campaign with a tighter target, outer suburbs excluded or kept on brand-only.
• Hospitality (restaurants, cafes, function venues): tight radius around the venue (3 to 8 km) plus a polygon following walking distance from a major transport hub. Location assets on. Lunch and dinner schedules adjusted per day-part.
• Healthcare (dental, physio, GP, allied health): Presence only, named-suburb list of catchment suburbs, plus an audience signal layer for life events. New-patient keywords split from existing-patient queries.
• Retail and eCommerce with physical stores: radius around each store plus a citywide remarketing campaign. Store visit conversions feed Smart Bidding where volume allows.

Common mistakes I see in audited accounts

When I open an audit document for a new Australian account, the same handful of suburb-related mistakes show up over and over. Search Engine Land and the wider PPC community have documented these for years, yet they remain the most common drivers of wasted spend.

• Presence or Interest left on by default, so the account pays for clicks from people who are not in Australia at all, let alone in the target suburbs.
• One landing page for every suburb, usually a “Sydney” or “Melbourne” page that mentions every suburb in a paragraph at the bottom and converts no one well.
• Bid adjustments stacked on top of Smart Bidding, which the system ignores, creating the illusion of control without changing performance.
• City-name keywords only, with no suburb-modifier variants in the keyword list, so the account never captures the cheaper, higher-intent local searches.
• No geographic report ever pulled, meaning the client cannot see that 70 percent of their spend is going to suburbs that produce 10 percent of their leads.
• Radius targets smaller than 1 km attempted, which Google rejects, so the account falls back to a city-wide setting nobody intended.

Measurement: attribution by suburb

Attribution by suburb is the practice of tying every Google Ads conversion back to the user's physical suburb at the time of the click, then comparing performance across those suburbs over time. The User location dimension in Google Ads reporting is the right source for this. I also push the same data into GA4 via UTM parameters that include a suburb slug, so the analytics team can join it with on-site behaviour and downstream revenue.

The aim is a single monthly view that shows, per suburb, spend, clicks, conversions, cost per acquisition, and revenue if the business has eCommerce or CRM integration. Once that view exists, decisions about bid adjustments, exclusions, and new landing pages stop being guesswork.

A migration path from broad to suburb-targeted

If an Australian account is currently running one citywide campaign, I do not recommend ripping it apart in week one. The migration path I use is staged so Smart Bidding never loses its learning history and the client never sees a sudden cost-per-lead spike.

1. Week 1: switch location targeting from Presence or Interest to Presence only. Pull a 90-day geographic report and identify the top and bottom 20 percent of suburbs by cost per lead.
2. Week 2 to 3: add suburb-modifier keywords (for example, “plumber Parramatta”, “emergency electrician Penrith”) as exact and phrase match to existing ad groups. Layer audience signals in observation mode.
3. Week 4: build suburb-specific landing pages for the top three to five performing clusters. Point new ads to them, keep the old generic page live for legacy variants.
4. Week 5 to 6: duplicate the campaign and split into two or three suburb-grouped campaigns with separate location lists and Smart Bidding targets calibrated to each group's conversion economics.
5. Week 7 onwards: exclude or downweight under-performing suburbs, monitor learning, and only add more suburb segmentation once each campaign clears 15 to 30 conversions per month.

For a deeper look at how local presence and paid search interact in Australia, my Australia services hub and Sydney service page cover the local market context behind these campaign decisions. If you want a fuller picture of who is running these audits and why, my background and certifications are on the about page.

The takeaway

For Australian service businesses, suburb-level Google Ads structure usually beats broad citywide logic. Not because the city target is wrong, but because it is too blunt to reflect how local demand behaves across Parramatta, Penrith, Bondi, Geelong, Surfers Paradise, Footscray, Toorak, Mosman, and Frankston. Cleaner reporting, sharper landing pages, and tighter bid logic all flow from the same decision: stop treating one city as one market.