Not ROAS, but Profit: a Google Ads Account Rebuild that Changed the Financial Outcome

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Budget Increase
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Conversion Value Increase

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Challenge

The main challenge was the inconsistency between results reported in the Google Ads panel and actual business profitability. Despite generating sales and seemingly acceptable performance metrics, the account did not support real financial outcomes.

Solution

The account was reorganized by structuring campaigns and separating brand from non-brand traffic. A diversified campaign mix and continuous testing were implemented, while optimization shifted from ROAS to real margin. As a result, the activities began to directly support financial performance and enabled scalable growth.

Introduction

In this case, the challenge was not a lack of sales volume, but a lack of alignment between the results reported in the advertising panel and the actual profitability of the business. The Google Ads account, previously managed by another agency, was generating a relatively high number of transactions and an attractive ROAS at first glance.

From a business perspective, however, this model was inefficient – the client did not see a real impact of advertising activities on the financial result. The key objective of the collaboration was therefore to reorganize the account structure and shift from optimizing for vanity metrics to an approach based on actual profit.

About the Client

Bimeb is a wholesaler of furniture accessories, offering comprehensive supplies for the carpentry and furniture industry. Its assortment includes drawer systems, hinges, runners, and modern space organization solutions. The company focuses on quality, innovation, and partnerships with reputable manufacturers, providing professional support and a wide range of products aligned with current market trends.

Scope of Collaboration

In the first stage, a full reorganization of the advertising account was carried out, focusing on scalability and data transparency.

Key activities included:

  • rebuilding the campaign structure – tailored for further scaling and precise performance analysis,
  • separating brand campaigns – this enabled a realistic assessment of prospecting effectiveness,
  • implementing a diversified campaign mix, including:
    • Search campaigns,
    • DSA,
    • Performance Max with assets,
    • Performance Max without assets,
  • continuous testing and iteration – regular experimentation with settings and campaign structures to maximize performance,
  • changing the optimization approach – moving away from ROAS-only optimization toward actual margin-based performance.

All activities were conducted continuously, with a strong focus on long-term growth and systematic efficiency improvement.

Results Achieved

The outcomes of the collaboration were both operational and strategic:

  • consistent month-over-month sales growth, maintained for nearly 3 years,
  • scaling advertising budgets without loss of efficiency,
  • maintaining a high ROAS level, but now in the context of actual profitability,
  • full transparency of results – clear separation between profit-generating activities and supporting actions.

The most important result was building a stable and predictable growth model based on data, rather than solely on platform metrics.

Summary

This case confirms that a high ROAS is not a sufficient indicator of advertising effectiveness. Without a proper account structure and conscious campaign segmentation, it can lead to flawed business decisions.

Only by organizing campaign architecture, separating brand and non-brand traffic, and optimizing for real margins can sustainable, scalable growth be achieved.

The result is not only higher sales, but above all controlled and profitable marketing growth.

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