Home services marketplace SEO case study

Helpling: turning cleaning-service searches into commercial page growth.

A cleaning services SEO case study for marketing leaders who need technical SEO, service-page optimisation, authority, and measurement to work as one programme.

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Client
Helpling Singapore
Engagement
SEO leadership and implementation for commercial service pages
Evidence period
Historical engagement; Ahrefs snapshot date was not recorded in the source deck
Page review
What this case demonstrates

Helpling needed to compete for high-intent cleaning searches in Singapore. The work concentrated on the pages most closely connected to bookings, then supported those pages with technical improvements, clearer intent matching, structured data, internal links, and steady authority building.

42.3K

estimated monthly organic visits

Ahrefs estimate across 257 ranking pages in the supplied case-study snapshot.

22.1K

visits from ten cleaning pages

The commercial cleaning cluster represented 52% of the estimated organic traffic in the snapshot.

#1–2

positions for high-intent terms

Included move-out cleaning, part-time cleaner, cleaning services Singapore, and sofa cleaning Singapore.

$41.8K

estimated monthly traffic value

An Ahrefs paid-search-equivalent estimate, not booked revenue.

The business constraint

The website had to win searches close to a booking decision.

A marketplace can attract broad informational traffic and still miss the searches that matter commercially. Helpling needed its core and specialist cleaning pages to become the most relevant destination for people already looking for a provider.

The practical challenge was bigger than rewriting one landing page. Indexation, crawl efficiency, internal linking, page templates, structured data, supporting links, and the relationship between the main cleaning page and each sub-service had to reinforce the same commercial architecture.

For a local services business, the useful keywords are the ones that reveal a booking need. The SEO plan separated broad cleaning keywords from local service combinations, then checked how the top pages appeared in Google search. That made the keyword work practical: each local page had a clear business purpose, the content answered the immediate service question, and Google could follow the relationship between the main service and its specialist options.

What changed

The work was designed as one connected system.

01

Fix technical access

Improved indexing and crawl efficiency, reduced template-level ambiguity, and strengthened internal paths into priority service pages.

02

Match service intent

Reworked page copy, titles, headings, and FAQs around deep cleaning, move-out cleaning, post-renovation cleaning, part-time cleaners, and specialist services.

03

Clarify the service entities

Used service and FAQ structured data available at the time to make page purpose and service relationships easier for search engines to interpret.

04

Support the money pages

Built relevant links at a measured pace and directed internal authority toward the pages responsible for qualified demand.

The measured outcome

The strongest pages became visible for the searches most closely tied to revenue.

The supplied Ahrefs snapshot attributes 22.1K monthly visits to ten cleaning-intent pages, led by the main cleaning-services page. The cluster held first- or second-position rankings for several high-commercial-intent terms.

The client-approved testimonial adds the operating result: agreed KPIs were reached in less than three months, and key revenue-driving pages moved from positions six or seven to positions one and two.

This was not an increase built from one keyword or one page. Organic growth came from improving the whole local cluster, so that more organic traffic could reach the right cleaning service. The reporting kept commercial pages visible as a group and used Google performance alongside third-party estimates. That distinction helped the marketing team see whether the SEO work was increasing useful demand for the business, not merely adding visits.

We hit our KPIs in less than three months. We moved our key revenue-driving pages to positions one and two, where we were previously ranking at six or seven.

James Lim, CEO, Helpling APAC
For marketing leaders and founders

What another team can take from this work.

01

Organise around services, not keyword volume

The page architecture should reflect how customers choose and book the service.

02

Make the commercial cluster measurable

Report the priority service pages separately from broad blog traffic.

03

Treat implementation as part of strategy

Technical, content, internal-link, and authority work created the outcome together.

04

Review the local search journey

A customer may begin with broad keywords, compare the top providers, and then narrow the search to a specific cleaning need. The page system should support that entire decision.

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