Why Your Real Estate Google Ads Cost More Than a Competitor's for the Same Click
We've had more than one agency principal forward us a screenshot of their cost-per-click next to a rival's, convinced the rival was simply outspending them into a better position. Almost every time, the real story was different: the rival had a dozen tightly themed ad groups, one per suburb or property type, each pointing to a page that actually matched the ad. The frustrated agency had three broad ad groups covering an entire region, pointing everything back to the homepage. Google isn't charging them more out of spite 💖 — it's charging them more because, from Google's side, their ads are a worse match for what the searcher typed, and a worse experience once they click through.
What most agents get wrong
Most real estate Google Ads accounts are built around how the agency thinks of itself — "we sell houses in the whole region" — rather than how a buyer or seller actually searches. A buyer typing "houses for sale Maroubra" and a buyer typing "townhouses for sale Coogee" are two completely different intents, but they often land in the same broad ad group with the same generic ad copy and the same homepage destination. That mismatch is exactly what tanks Quality Score. It's not that real estate is a uniquely hard industry for Google Ads — it's that most real estate accounts are structured like a brochure instead of a search-matching machine.
The real estate Quality Score fix — three structural changes that actually move cost per click:
- Split suburb-specific campaigns from agency-brand campaigns. "[Your Agency] real estate agents" searches are a different intent to "houses for sale [suburb]" — keep them in separate campaigns with separate ad copy, because mixing them dilutes relevance for both.
- Build one ad group per suburb or property type, not one for the whole region. A ten-keyword ad group covering five suburbs can never write an ad as tightly relevant as five ad groups of two keywords each, one per suburb.
- Write the suburb name into the headline, every time. An ad for "houses for sale Maroubra" that includes "Maroubra" in the headline will out-perform a generic "Browse Our Current Listings" headline on click-through rate alone, which is the single biggest input into Quality Score.
- Send each ad group to a matching landing page, not the homepage. A suburb-specific ad group should land on that suburb's listings page or a suburb profile page — never the generic homepage, which forces the visitor to re-search once they've already landed.
- Add suburb and property-type negative keywords early. Exclude suburbs you don't service and property types you don't sell (e.g. "commercial," "rural," if that's not your market) so your ads stop showing for searches that were never going to convert and were quietly dragging down your click-through rate.
How to actually set this up
Start with a simple audit: list every suburb or property type you actively market, and check whether each one has its own ad group, its own ad copy referencing that suburb or type by name, and its own landing page (or at minimum a filtered listings view). Anywhere those three don't line up is a Quality Score leak. Rebuild campaigns around that structure — agency brand separate from suburb/listing campaigns, one ad group per suburb or property type rather than broad regional groups — and write two to three ads per ad group that each reference the specific suburb or property type in the headline. Add negative keywords for suburbs, property types, and price brackets you don't service, reviewed monthly as your listings change. None of this requires a bigger budget; it requires a more specific account.
Mistakes to avoid
- Running one ad group for an entire region. Broad ad groups can't produce the tightly matched ad copy that drives click-through rate and keeps costs down.
- Mixing agency-brand search with listing search in the same campaign. These have different intents and different competitors — treat them as separate campaigns with separate strategies.
- Sending every click to the homepage. A suburb-specific search deserves a suburb-specific landing experience, not a generic "browse all listings" page.
- Ignoring negative keywords until spend is already wasted. Build an exclusion list for suburbs, property types, and price points you don't service from day one, not after months of irrelevant clicks.
- Judging Quality Score by a single keyword's score in isolation. Quality Score is a diagnostic, not a KPI to chase directly — focus on the structural fixes (relevance, landing page match, click-through rate) and the score follows.
Frequently asked questions
Does a higher Quality Score always mean a lower cost per click?
Generally yes, but it's not the only factor — your competitors' bids and the overall competitiveness of a suburb or keyword also set the floor. A real estate agency in a highly contested inner-city suburb may still pay more per click than a rural agency with little competition, even with excellent Quality Score, simply because more agencies are bidding on the same searches.
How many keywords should be in each suburb ad group?
Keep it tight — often just the suburb name combined with a handful of close variants ("houses for sale," "property for sale," "real estate") rather than dozens of loosely related terms. Tighter ad groups make it easier to write genuinely relevant ad copy.
Is it worth rebuilding a whole account that's been running for years?
Usually yes, but do it in stages rather than all at once — rebuild your highest-spend, lowest-performing campaigns first so you can measure the effect before committing the whole account to a new structure.
Will this work the same way for a one-agent solo operation as a large multi-office agency?
The principle holds for both, but a solo agent with only two or three active suburbs can realistically manage a handful of tightly built ad groups by hand, while a larger multi-office agency usually needs a proper account structure or dedicated management, since dozens of suburb ad groups left unmanaged tend to drift out of relevance over time.
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