Mapped commercial LPG search intents to landing journeys
Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.
I translated commercial search intent into a structured Google Ads build with documented settings, QA checkpoints and a clear separation between optimization signals and proven commercial outcomes.

The campaign setup focused on matching high-intent LPG searches with structured ad groups, relevant landing journeys and controlled geographic and bidding settings.
A case-specific operating model rather than a generic service checklist.
Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.
Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.
Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.
Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.
Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.
Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.
Source: Google Ads campaign setup
Period: May 2026 capture
Optimization score is a platform readiness signal, not proof of profitability.Source: Google Ads configuration screenshot
Period: May 2026 capture
This is a separate captured state and must not be merged with the 96.5% screenshot.Source: Google Ads overview
Period: Comparison period requires source verification
This is a platform-generated relative insight; absolute conversions and independent causality are not established here.Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.
Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.
Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.
Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.
Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.
The evidence on this page distinguishes observed platform state, configured journeys, forecasts and future measurement requirements. Where purchase attribution is absent, no ROAS or ROI claim is made.
What this proves: this source is part of the documented evidence set for the case study.
What remains unverified: any metric, identity or operational claim not explicitly described in the evidence panel above.
Raw admin screenshots are not rendered publicly until sensitive data is redacted and approved.What this proves: this source is part of the documented evidence set for the case study.
What remains unverified: any metric, identity or operational claim not explicitly described in the evidence panel above.
Raw admin screenshots are not rendered publicly until sensitive data is redacted and approved.Discuss the business problem, the platform environment and the evidence you need to measure next.