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Google Ads — Search Campaign Strategy & Setup

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.

Google AdsSearch campaignsResponsive Search AdsLanding pages
Google Ads — Search Campaign Strategy & Setup presentation mockup
ClientBetter Gas Energy Services Limited
SectorLPG retail, cylinder exchange & distribution
GeographyNigeria · Abuja/FCT & surrounding distribution areas
RoleStrategy, implementation, management & analysis where supported
Evidence windowMay 2026 configuration screenshots; deployment/performance windows only if confirmed
Engagement datesNot independently established
What the client needed

A strong campaign build improves readiness and measurability; optimization scores and platform insights still require outcome-level attribution before they can support ROI claims.

The campaign setup focused on matching high-intent LPG searches with structured ad groups, relevant landing journeys and controlled geographic and bidding settings.

Delivery architecture

How the work was structured.

A case-specific operating model rather than a generic service checklist.

01Intent
02Ad groups
03Ads & assets
04Landing journey
What I delivered

Implementation translated into operational value.

01

Mapped commercial LPG search intents to landing journeys

Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.

02

Structured ad groups and match types

Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.

03

Prepared responsive ads and assets

Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.

04

Configured budgets, bidding and geographic intent

Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.

05

Reviewed tracking readiness and campaign states

Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.

06

Documented QA and attribution boundaries

Configured and reviewed within the relevant platform context, with QA and evidence boundaries documented.

Measurable evidence

What the available reporting actually proves.

96.5%

Optimization score shown

Source: Google Ads campaign setup

Period: May 2026 capture

Optimization score is a platform readiness signal, not proof of profitability.
100%

Separate optimization score shown

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.
+198.02%

Platform insight on conversions

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.
How it worked

Decision logic, implementation and QA.

  1. 01

    Map commercial intent

    Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.

  2. 02

    Structure campaigns and match types

    Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.

  3. 03

    Write ads and assemble assets

    Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.

  4. 04

    Set budget, bidding and geography

    Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.

  5. 05

    QA tracking and campaign states

    Review the platform state, implement the relevant configuration, test the customer/measurement path and document the operational handoff.

Results & interpretation

Commercial significance without overstating causality.

Observed / configuredMarket demand / audience
Observed / configuredDiscovery or click
Configured / measurableBetter Gas web / messaging experience
Configured / measurableMeasurable enquiry
Configured / measurableHuman / automated follow-up
Only where independently evidencedOrder or visit where independently evidenced

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.

Source evidence gallery

Original evidence is tracked separately from presentation mockups.

Privacy review required

Search campaign - Better Gas Energy Services Google Ads account - Google Ads (26.05.2026 22_00).png

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.
Privacy review required

Search campaign - Better Gas Energy Services Google Ads account - Google Ads (14.05.2026 20_19).png

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.
Future optimization

Recommended next measurement and operating improvements.

Recommendation 1

Validate absolute conversion counts and dates

Recommendation 2

Connect conversion actions to qualified enquiries/orders

Recommendation 3

Maintain search-term and negative-keyword governance

Next project

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