Go Easy Rubbish Removal provides waste collection and junk removal services across Melbourne. In the highly competitive rubbish removal market, ranking on page 1 is essential — homeowners and businesses needing waste removal almost never scroll past the first page of results. This campaign was managed by SEO Melbourne, Melbourne's specialist SEO agency.
Go Easy had scattered rankings across pages 2 and 3, meaning they were invisible to the majority of potential customers searching for their exact services.
Rubbish removal is searched for in many different ways for what is, to the customer, one job. Household rubbish, hard rubbish, green waste, a commercial clean-out: each has its own vocabulary, and a business that only has one page for "rubbish removal Melbourne" is invisible for most of them. Go Easy Rubbish Removal provides waste collection and junk removal across Melbourne.
It is also a market where the difference between page 1 and page 2 is the difference between a job and nothing. Customers pick from the first results they see, and the operators ranking above Go Easy were taking the work.
Rankings were scattered across pages 2 and 3, which meant the business was invisible to the majority of people searching for its exact services. Lead flow from organic search was inconsistent as a result, and the business was leaning on paid advertising to fill the gap.
The underlying cause was coverage and focus: not enough pages for the distinct ways customers search, and no discipline about which page should rank for which cluster of terms.
Scattered rankings across page 2–3
Every target keyword on page 1
Losing jobs to competitors ranking above them
Top positions for rubbish removal Melbourne searches
Inconsistent lead flow from organic
1.8× traffic growth with steady leads
We created dedicated SEO pages for each service type, household rubbish removal, commercial waste, green waste and hard rubbish, so that every way a customer describes the job had a page written for it. Keyword clustering then mapped a cohesive set of related terms to each page, which stops pages competing with one another for the same search and lets each one rank cleanly.
Categorised blog content was published on top, driving additional organic traffic and passing internal-link authority back to the core service pages so that the whole site lifted together.
Service-Specific Pages
Created dedicated SEO pages for each service type — household rubbish removal, commercial waste, green waste, hard rubbish — matching the varied ways customers search for removal services.
Keyword Clustering
Mapped keyword clusters to specific pages, ensuring each page targeted a cohesive set of related terms without cannibalising other pages.
Content & Blog Strategy
Published categorised blog content driving additional organic traffic and internal linking authority back to core service pages.
The comprehensive keyword strategy delivered page 1 rankings for every single target keyword — a complete sweep that transformed Go Easy's organic visibility. Traffic grew 1.8× as the first-page presence captured significantly more search demand.
The improved rankings created a consistent, reliable flow of leads from organic search, reducing dependence on paid advertising.
Every target keyword reached page 1, a complete sweep, and the primary service terms sit in the top 5. Organic traffic grew 1.8×. In the Owner's words, every keyword the business targeted is now on page one, and the first-page presence produced a consistent, reliable flow of leads from organic search that reduced dependence on paid advertising.
A clean sweep of the target list is rare and it came from the clustering discipline: when each page owns its own cluster, there is nothing on the site fighting the page that should rank.
For a waste, removal or home-services business, the Go Easy campaign is a straightforward model: one page per service as customers name it, one keyword cluster per page, and content that feeds authority back to the pages that book jobs.
The next step for a business in this position is to add suburb-level pages for the areas that generate the most work, so that the service coverage is matched by location coverage.