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Our work · Real Estate

NAI Harcourts Metro Commercial

The #1 NAI Harcourts office in Australia, and first among WA agencies in search.

17.9%
Share of paid search — 1st among WA agencies
#1
NAI Harcourts office in Australia — as recognised by NAI Harcourts
42.1%
Engaged, high-intent sessions
NHReal Estate
The challenge

Establish NAI Harcourts Metro as the leading commercial-property brand across local search, paid media, website and email in a competitive WA market.

Our approach

An always-on integrated program — Google Business Profile optimisation, a Performance Max campaign across Search, Display, Discovery, Maps and YouTube, a high-intent commercial-listings website, and a six-edition eMarketing program across three purpose-built databases. All results below are reported proportionally; absolute volumes remain commercial-in-confidence.

Technical & delivery

Performance Max · Google Business Profile · GA4 · segmented eMarketing automation across three databases.

Competitive market position
17.9%
Share of paid search — ahead of every named agency competitor
52.1%
Ads above the fold (top-of-page rate)
1 | NAI Harcourts office in Australia — as recognised by NAI Harcourts
Qualified demand generated
1.29%
Blended click-through rate across the campaign
67.2%
Of engagement from mobile search
42.1%
Engaged sessions — genuine buying intent
Owned audience & retention
2.05x
Profile views, year on year
28.4%
Average open rate across editions
99.7%
Subscriber database retained
Data, measurement & AI in this engagement

Paid search is managed against share of the commercial-property market rather than raw volume, because in a defined local market the question is what proportion of available demand you are capturing, not how many clicks you bought. Competitor share is monitored continuously so budget shifts when a rival moves rather than at the next review. Query analysis distinguishes genuine commercial-property intent from residential and research traffic, which in this category is the difference between a qualified enquiry and an expensive tyre-kicker.

Where this goes next — the AI opportunity

Property-level creative generated from listing data with compliance checks before publishing, and AI-assisted matching of enquiry to listing so an agent responds with the right property rather than a generic reply.

Stack & channels
Performance Max · GA4 · GBP · eMarketing
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