How We Helped 1800Washed Generate 37 Leads At Just $97.67 Each

Digital Ads Done Right! Helping Businesses Turn Clicks Into Real, Qualified Leads that actually turn into Booked Jobs.

The Results That Made The Difference

No fluff just clear, measurable results that helped 1800Washed grow.

37
Total Qualified Leads

$97.67
Cost Per Lead

13.17%
On-Page Conversion Rate

Roof washing, exterior house cleaning, soft wash cleaning
Core Services

About 1800Washed

1800Washed is a Melbourne-based exterior cleaning business servicing Melbourne and surrounds, focused on high-demand jobs like roof washing, exterior house cleaning, and pressure cleaning. We used search-led Google Ads to capture homeowners actively looking for immediate solutions, then converted that intent into consistent enquiry volume through conversion-focused messaging and tighter keyword control.

Campaign Duration

Ongoing Partnership

Services Delivered

  • Google Ads Management
  • Conversion Tracking Setup
  • Landing Page Optimisation

Our Strategy

A targeted, data-driven approach designed to maximise every dollar spent and deliver measurable growth for 1800Washed.

Precision Location Targeting (Melbourne)

We aligned targeting to the market showing the strongest intent signals in the account: Melbourne and nearby suburbs. This reduced wasted spend and kept lead volume concentrated where 1800Washed can actually service jobs quickly.

High-Intent Keyword Selection

We prioritised service-first searches that indicate a job-ready customer, including roof washing, exterior house cleaning, and power washing company. These terms produced consistent conversions, with roof washing delivering 5 leads and power washing company delivering 4 leads within the same campaign.

Ad Messaging Built for Bookings

We focused ad copy around the exact outcomes customers want: clean roofs, moss and lichen removal, and full exterior refreshes. Matching the ad language to the search intent supported a strong on-page conversion rate of 13.17% across the account.

Budget Allocation to Proven Winners

With $3,613.70 in total spend, we continuously shifted budget towards the search themes producing leads at sustainable costs. This kept overall CPL controlled at $97.67 while still generating 37 total leads.

Conversion Tracking and Lead Quality Control

We tracked lead actions to understand which searches were driving real enquiries, not just clicks. While conversion value was not passed back into the ad platform (ROAS reporting sat at 0.00x), lead volume and CPL gave a clear optimisation path for scaling.

Frequently Asked Questions

Common questions about our Google Ads work with 1800Washed.

What results did Google Ads achieve for 1800Washed in Melbourne? +
Across the campaign, we generated 37 qualified leads on $3,613.70 total ad spend. That delivered an average cost per lead of $97.67 with an on-page conversion rate of 13.17%.
Which services drove the most enquiries from search? +
Roof-led searches were a consistent lead driver, with roof washing generating 5 conversions and roof cleaning near me generating 3 conversions. Exterior house cleaning and power washing company terms also performed strongly, producing 3 and 4 conversions respectively.
How did you keep the budget efficient while testing different search terms? +
We focused spend on high-intent service keywords and shifted budget toward themes that consistently produced conversions. This kept overall CPL at $97.67 while still driving 37 total leads from the account.
What areas were targeted for 1800Washed? +
The campaign was built around Melbourne as the primary market, supported by surrounding areas indicated by search behaviour (including Mornington Peninsula and nearby suburbs). This ensured leads came from locations that match the service footprint and operational capacity.
Why does ROAS show as 0.00x even though leads were generated? +
The account recorded conversions (37 leads), but conversion value was not being passed back to Google Ads, so total conversion value remained $0.00 and ROAS reported as 0.00x. The next step is assigning values per job type or importing offline revenue so profitability can be measured directly inside the platform.

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