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Energy and ecommerce

Merchant API Stabilization and Google Ads Optimization

Prosis stabilized catalog errors caused by manual product uploads through Merchant API work and moved Google Ads campaigns from 1.39x ROAS to an 8-10x ROAS range in the project period.

Google Ads managementMerchant API integrationCatalog optimization
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YBE Solar Electric

Case Study

01

1.39x

Starting ROAS

02

8-10x

ROAS band after optimization

03

Merchant API

Catalog stabilization

Starting Point

The Need

  • Manual product uploads created catalog instability.
  • Merchant Center errors limited ad performance.
  • Campaigns were at 1.39x ROAS before optimization.

System Design

Approach

  • Improved catalog flow through Merchant API.
  • Reduced product data error sources.
  • Optimized Google Ads around product structure, bidding, and performance data.

Measured Outputs

Results

  • Catalog flow became more stable.
  • Google Ads reached an 8-10x ROAS range in the project period.
  • Technical catalog work and ad optimization were handled together.

Measurement and Evidence Note

Scope of the results

Measurement scope

The ROAS comparison is described through the starting level of the Google Ads campaigns managed within the project and the band they reached after optimization.

Evidence note

Campaign screens and Merchant API flow details can be shared with client data anonymized.

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