B2B SaaS

Local service-marketplace SEO

Helpling Singapore

Case study in finalization

The summary below describes the actual scope, approach, and representative results from this engagement. Full study with specific GSC data, traffic numbers, and revenue attribution is released once Helpling Singapore provides written sign-off. Contact us if you want the detailed version sooner.

Industry

B2B SaaS

Scope

Content strategy, technical audit, and brand positioning for SaaS products

Timeframe

Ongoing engagement, 6+ months

The Challenge

A home-cleaning marketplace serving Singapore needed local SEO improvements to compete for service-area and category terms. The existing content structure did not support the city-level and neighborhood-level keyword patterns that drive local service conversions.

Our Approach

BOFU-first content approach based on the Sam Dunning framework. Pain-point keywords, service comparison pages, and external listicle placements in industry directories. Local service-area SEO for marketplace products.

Local keyword research across Singapore districts and service types
Schema implementation for LocalBusiness and Service entities
Content strategy for service-specific and location-specific landing pages
On-page optimization aligned to local search intent signals

Results

What we measured.

Singapore-wide

Geographic coverage

District and area pages

LocalBusiness, Service

Schema types implemented

Entity structure built

Active

Campaign status

Ongoing optimization

How we work

Every engagement documented here runs through the same operating system: a 67-skill agent stack, fine-tuned SEO model with 100% citation rate, and BigQuery data infrastructure connecting GSC, GA4, and CRM data for attribution.

Read our methodology

FAQ

Questions about this engagement

Every client listed here is an active engagement. Publishing specific traffic numbers, revenue data, or GSC screenshots without written approval is a trust violation we will not make. Summaries describe the real scope and approach. Once each client confirms, the full study goes live with actual data.

We track organic traffic, keyword rankings, CTR from GSC, and pipeline attribution from CRM data. For clients with BigQuery access, we build full attribution views connecting organic sessions to revenue. Reporting is weekly, using automated scripts not manually assembled slides.

First 30 days: technical audit, baseline data pull from GSC and GA4, keyword clustering, and content architecture design. Days 31-60: on-page fixes, first content production, schema implementation. Days 61-90: second content batch, backlink outreach started, first impact measurement against baseline.

Yes, and several clients in this list started with effectively zero organic traffic. The approach for a near-zero baseline is different from optimizing an established site: we build the technical foundation first, then target very specific buyer-intent terms before going for broader category keywords.

Want the detailed study?

Let's talk through this engagement.

We can walk you through the full approach, data infrastructure, and results on a 30-minute call. No pitch deck, just specifics.

Access to the full case study on request
Comparable scope scoped for your business
Written proposal within 48 hours