Mortgage brokers in Australia are bidding in one of Google Ads’ most expensive search verticals. Average CPCs of $15–$30 AUD, with “refinance home loan” terms regularly exceeding $40 in Sydney and Melbourne. The lenders themselves bid aggressively, comparison sites (Canstar, Mozo, Finder) have eight-figure media budgets, and most individual brokers are getting outspent before a single impression serves. This guide covers the campaign strategy that lets individual and small-group brokers compete and win in 2026: segmentation by borrower intent, ASIC-compliant copy, lead quality filters, and the offline conversion tracking setup that makes Smart Bidding actually work for a product with a 4–12 week settlement cycle.
Quick reference — 2026 benchmarks:
- First home buyer terms: $12–$22 AUD CPC | Refinance terms: $18–$40 AUD CPC | Investment property: $15–$28 AUD CPC
- Minimum viable budget for metro markets: $3,000–$5,000 AUD/month
- Loan settlement takes 4–12 weeks — offline conversion import is non-negotiable
- ASIC requires your ACL or credit representative number in all financial services advertising
- Comparison sites dominate broad terms — brokers win on specificity and borrower-type targeting
Why Mortgage Broker Google Ads Is Harder Than Most Verticals
Mortgage broking sits at the intersection of three problems that compound each other: high CPCs from institutional competition, a long and uncertain conversion cycle (enquiry to settled loan is 4–12 weeks), and compliance obligations that restrict what you can say in ad copy. Understanding all three before building a campaign is what separates accounts that generate profitable leads from those that burn through budget.
Institutional and aggregator competition drives CPCs up. The major lenders — CBA, NAB, ANZ, Westpac, Macquarie — bid on mortgage terms directly. Aggregator comparison platforms (Canstar, Mozo, RateCity, Finder) have media budgets that dwarf any individual broker. The strategy for a broker is not to out-spend them on generic terms but to segment and target by borrower type and circumstance where the aggregators cannot personalise.
The settlement cycle breaks standard conversion tracking. A borrower who submits a lead on your site on a Monday may not settle their loan for 10–14 weeks. If your Google Ads account only tracks form fills, Smart Bidding optimises for form submissions rather than settled loans. You will get plenty of leads — many of them from borrowers who do not qualify or who choose a different broker. Without importing offline conversions at the point of settlement (or at least pre-approval), your bidding strategy is working with systematically wrong data.
Compliance constrains copy. Australian Credit Licence (ACL) obligations, ASIC’s Regulatory Guide 234, and responsible lending obligations limit what mortgage advertising can claim. This is not a barrier — it is a constraint that forces good copy discipline and creates an advantage over brokers who ignore it.
The Three-Segment Market: Keywords That Match Borrower Intent
Generic mortgage campaigns fail because they aggregate three segments with fundamentally different needs, timelines, and conversion rates. Segmenting from the start solves this.
Segment 1: First Home Buyers
Typical keywords: “first home buyer loan [city]”, “how much can I borrow first home buyer”, “first home guarantee scheme broker”, “FHLDS broker [suburb]”, “stamp duty exemption first home buyer”
First home buyers have the longest research cycle, the most questions, and the highest anxiety. They are often searching with a partner, comparing options extensively, and may not be ready to submit a lead for weeks or months. The valuable segment within FHBs is those who have already started the property search — they search with more specific terms and convert faster.
Ad copy should lead with the complexity you simplify: “We explain every step”, “Free pre-approval assessment”, “First Home Guarantee Scheme specialists”. Avoid rate claims (see ASIC section below).
Segment 2: Refinancers
Typical keywords: “refinance home loan [city]”, “compare refinance rates Australia”, “better deal on mortgage [suburb]”, “refinance to fixed rate”, “cash out refinance Australia”
Refinancers are often motivated by a specific trigger: a rate rise, end of a fixed period, cash-out need, or dissatisfaction with their current lender. The conversion cycle is shorter than FHBs — a motivated refinancer can move from search to pre-approval in weeks rather than months. CPCs are highest here because lenders know it too.
The winning angle for brokers: “We access 40+ lenders — your bank only offers one.” What differentiates a broker from an aggregator is local expertise and service quality, not rate comparison. Headlines that reference your specific lender panel (“access to Macquarie, ING, Pepper, and 35+ others”) outperform generic rate claims.
Segment 3: Property Investors and Complex Scenarios
Typical keywords: “investment property loan [city]”, “interest only investment mortgage”, “investor home loan broker [suburb]”, “SMSF property loan broker”, “portfolio refinance multiple properties”
Property investors have higher loan values, more complex scenarios, and strong sensitivity to structure advice over rate. SMSF lending and portfolio scenarios are particularly underserved by comparison sites — this is where a broker’s specialist copy and dedicated landing page can dominate a niche the aggregators do not serve well.
ASIC Compliance: What Mortgage Brokers Cannot Say in Google Ads
Mortgage advertising in Australia is regulated under the National Consumer Credit Protection Act 2009 (NCCP) and ASIC’s Regulatory Guide 234. Non-compliance is a genuine legal risk, not just an ad policy issue.
What you cannot do:
Quote comparison rates without full disclosure context. The Corporations Act requires that where a comparison rate is used in advertising, it must be accompanied by a standard warning specifying the loan amount, term, and that the rate may not include all fees. This disclosure runs to 30+ words — impractical in a Google Ads headline (90 characters maximum). The safer approach: do not quote specific rates in Google Ads at all. Drive to a landing page that handles rate disclosure properly.
Make representations about rate ranges without substantiation. “Rates from X.XX%” requires that you can actually access that rate for a real loan scenario achievable by a borrower who could reasonably see the ad.
Imply guaranteed approval or approval without credit assessment. “Guaranteed pre-approval” or “100% approval rate” contravenes responsible lending obligations. ASIC enforces this actively.
What you must include:
Your Australian Credit Licence (ACL) number or credit representative number in all advertising material. For Google Ads, include this in the business name field, a sitelink extension, or within the ad text where character limits allow. Failure to include credit licensing disclosure is a compliance breach.
What works within compliance:
Value-based headlines that do not touch rates: “Access 40+ Lenders in One Meeting”, “Pre-Approval in 48 Hours”, “First Home Buyer Specialists”, “Investment Property Loan Experts”, “Refinance Without the Paperwork”. These communicate specific value without triggering disclosure obligations.
Lead Quality Filters: Pre-Qualifying Before the Click
At $15–$40 per click, filtering for lead quality on the landing page is not optional — it is what determines whether Google Ads is profitable or a cash drain. The brokers we work with who run profitable campaigns use three layers of qualification before investing sales time in a lead.
Layer 1: Ad copy segmentation. The ad itself is the first filter. An ad targeted to “investment property loan broker [city]” and referencing complex lending scenarios will only attract borrowers with investment properties. Anyone searching “first home buyer how much can I borrow” and clicking an ad about SMSF lending has already self-selected out.
Layer 2: Landing page qualifier questions. Not a long form — a short pre-qualification that signals lead quality:
- Loan purpose: purchase / refinance / equity release / investment
- Approximate loan amount (dropdown: under $300K / $300K–$600K / $600K–$1M / over $1M)
- Employment status: PAYG / self-employed / business owner
- Are you currently in default or bankruptcy? (yes/no)
Borrowers who select “under $300K” or tick bankruptcy are not immediately excluded, but they are flagged for a different follow-up sequence than a PAYG salaried borrower at $700K+.
Layer 3: CRM tagging at lead submission. Tag every lead with the ad campaign and keyword that generated it. This allows you to trace which campaigns generate settlements 12 weeks later and feed that back into Google Ads as offline conversions.
Offline Conversion Tracking: The Setup Most Brokers Skip
This is the most important technical configuration for mortgage broker Google Ads, and the most frequently skipped.
Smart Bidding optimises for the conversion events you tell it about. If your only conversion event is a web form submission, Smart Bidding will optimise for form submissions — not settled loans. Some form submissions will convert to pre-approvals; fewer will settle. But Smart Bidding does not know that, and treats every form submission equally.
The solution: import offline conversions into Google Ads at each meaningful stage of the loan cycle.
Minimum setup — three conversion events:
- Form submission (immediate, tracked natively via the Google Ads tag)
- Pre-approval issued (typically 3–10 days after lead) — import via CSV upload or CRM integration
- Loan settled (typically 4–12 weeks after lead) — this is the signal Smart Bidding should ultimately optimise for
CRM integration options:
- MyCRM (common in AU brokerage): supports Google Ads offline conversion import via Zapier
- ApplyOnline / NextGen: check with your aggregator (AFG, Aussie, Connective) for integration options
- Salesforce or HubSpot with the Google Ads offline conversion connector — the most reliable fully-automated option
Without settled loan data in your Google Ads account, you are running Target CPA campaigns against a conversion event (form fill) that is three steps removed from revenue. The algorithm will find leads, not settled loans.
For a technical walkthrough of offline conversion setup, see our Google Ads conversion tracking guide for Australia.
Why Comparison Sites Are Not Your Competition — And Where You Win
Canstar, Mozo, and Finder win on rate comparison for borrowers who believe their situation is simple and who want the lowest rate. That borrower is often not the most profitable for a broker — they are also the most price-sensitive and most likely to shop around without committing.
The borrowers a broker genuinely adds value for — first home buyers navigating the FHLDS, self-employed borrowers with complex income structures, investors needing IO lending, borrowers with credit impairments — are specifically the ones comparison sites cannot help. They need advice, not a rate table.
Your campaign structure should reflect this. Use search terms that imply complexity:
- “self-employed mortgage [city]” — comparison sites cannot handle this
- “bad credit home loan broker [city]” — requires human judgement
- “SMSF property loan” — specialised advice scenario
- “bridging finance broker [city]” — time-sensitive, complex situation
- “construction loan broker [city]” — stage drawdown complexity
These terms have lower volume than “best mortgage rate” but dramatically higher conversion rates for a broker’s value proposition. And competition from comparison sites is minimal because their model does not serve these queries well.
Budget Reality: What You Need to Compete
A budget under $2,500 AUD per month in a metro mortgage market will not generate enough data for Smart Bidding to optimise and will produce inconsistent results. The minimum viable budget to generate 10–20 quality leads per month in Sydney or Melbourne is $3,000–$5,000/month.
Budget allocation guidance for a broker starting from scratch:
- 50% to first home buyer segment (highest volume, longer nurture cycle but high LTV at settlement)
- 30% to refinancer segment (shorter cycle, highest CPCs, highest conversion urgency)
- 20% to investor and specialist segments (lowest volume, highest individual loan value)
Adjust allocation monthly based on settled loan data, not form fill volume. The common mistake is over-investing in the segment that generates the most form fills rather than the most settled loans.
For a broader view of how Google Ads fits into a finance vertical strategy, our guide on 14 Google Ads mistakes we see most often covers the most common account-level errors that waste budget across high-CPC verticals.
Mortgage broker Google Ads is not plug-and-play. It requires proper segment structure, ASIC-compliant copy, and offline conversion tracking that most campaign setups skip entirely. If you are spending more than $3,000/month and not tracking through to settlement, you are flying blind in one of Australia’s most expensive ad verticals.
Get in touch to review your current campaign setup.
Frequently Asked Questions
How much should a mortgage broker spend on Google Ads in Australia?
A minimum of $3,000–$5,000 AUD per month is needed to generate meaningful lead volume in a metro market (Sydney, Melbourne, Brisbane). This covers CPCs of $15–$40 on competitive terms and enough volume for Smart Bidding to optimise effectively. Under $2,500/month in a major city, the dataset is too thin for consistent results and you will see high variance week to week.
Can I advertise specific interest rates in my Google Ads?
Technically yes, but ASIC’s disclosure requirements make it unworkable within Google Ads character limits. Any quoted comparison rate must be accompanied by a standardised warning specifying loan amount, term, and that the rate may not include all fees — this runs to 30+ words that do not fit in a standard text ad. The cleaner approach: do not quote specific rates in the ad itself, and handle rate disclosure properly on your landing page.
Do I need to include my ACL number in Google Ads?
Yes. ASIC’s advertising guidance requires that credit licensees and credit representatives disclose their licence or representative number in advertising. For Google Ads, this can appear in the business name, an ad description line, or a sitelink extension. “Credit Rep No. XXXXXX” or “ACL XXXXXX” in a description line is the standard approach.
How do I track which Google Ads leads actually settle?
Set up a three-stage offline conversion import: (1) form submission tracked natively, (2) pre-approval issued imported from your CRM via CSV or Zapier automation, (3) loan settled imported from your CRM at settlement. This gives Smart Bidding the signal it needs to optimise for profitable outcomes rather than form fills. Most Australian mortgage CRMs (MyCRM, SalesTrekker, NextGen) support some form of this export.
Why are my Google Ads leads not converting to settlements?
The three most common causes: (1) Traffic quality — broad match keywords pulling in unqualified browsers (“how do mortgages work”). Add negative keywords and tighten match types. (2) No pre-qualification on the landing page — leads are submitting without knowing basic requirements. Add a short pre-qualification step. (3) Follow-up speed — in mortgage, 40–60% of leads contact multiple brokers simultaneously. If you are not calling within 10 minutes of a form submission, a competitor broker has already spoken to them.
Should I run Performance Max for mortgage leads?
No. Performance Max is designed for e-commerce conversion signals (purchases, add-to-cart) where Google can learn from high-volume signals. Mortgage leads are low-volume, high-value, and require complex audience signals. PMax for lead gen in high-CPC verticals consistently underperforms segmented search campaigns in the mortgage context. Stick to search campaigns with clear segment structure until your monthly settled loan volume justifies testing PMax with proper offline conversion data.