WeBrandLab

BeautyGarde

Spend – $30.878,82
Cost per acquisition – $39,53
ROAS – 1,25
Sales  – 787
Revenue – $38.750,21

About the Client

Beautygarde is a renowned beauty brand dedicated to providing top-quality nail care products. With a focus on innovation and excellence, Beautygarde offers a wide range of solutions designed to protect, strengthen, and beautify nails. From nail strengtheners and cuticle oils to nail polishes and treatments, each product is crafted with care using high-quality ingredients to ensure optimal results. Whether you’re looking to repair damaged nails, promote healthy growth, or add a pop of color to your manicure, Beautygarde has something for everyone. Trusted by professionals and loved by beauty enthusiasts worldwide, Beautygarde is committed to helping you achieve beautiful, healthy nails that you can be proud of.

The Problem

Despite a robust product line and a growing customer base, Beautygard faced challenges in maximizing the efficiency of its digital advertising campaigns. The company’s Google Ads campaigns were not delivering the desired return on ad spend (ROAS), leading to missed opportunities in market penetration and revenue growth.

Workplan

To address these challenges, a comprehensive digital marketing strategy was developed with the following key objectives:
  • Optimize Google Ads Campaigns: Improve targeting, ad copy, and bidding strategies to increase ad relevance and performance.
  • Enhance User Experience on the Website: Improve website design and usability to increase conversion rates.
  • Leverage Analytics and Feedback: Utilize data analytics to refine marketing strategies and make informed decisions based on customer feedback and behavior.

What Was Done?

  • Ad Campaign Restructuring: The Google Ads campaigns were overhauled, focusing on high-intent keywords, optimizing ad creatives, and employing smart bidding strategies to improve visibility and click-through rates.
  • Website Optimization: Implemented A/B testing for key pages to enhance user experience and engagement, leading to higher conversion rates.
  • Data-Driven Decision Making: Regular analysis of campaign data allowed for real-time adjustments and optimization, ensuring maximum efficiency of the ad spend

Work results

The reworking of the structure and the use of an innovative merchandise sorter, has helped to drive positive results and begin to take the company into a plus ROAS

Spend – $30.878,82
Cost per acquisition – $39,53
ROAS – 1,25
Sales  – 787
Revenue – $38.750,21

Conclusion of performance

  1. Structure of the advertising cabinet. We developed a structure that allowed us to increase the number of conversions and control that ROAS does not fall when the budget increases.
  2. Conversions. Conversions were reconfigured, the company was not the right data, the consequences of this training under the wrong data.
  3. Optimisation. Not all the client’s product range was in demand and sold, positions with low conversion were excluded from promotion.

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