When Beauty

About project

The project included the creation of a modern cosmetics store with offer personalization functions, using user data for marketing purposes. Marketing automation tools and AI systems were integrated, enabling dynamic product recommendations, managing cookie consents and optimizing customer interactions. The store has been tested for GDPR compliance, and the staff has been trained in the use of marketing tools and data analysis.

Needs Analysis

Business Objective:
Creation of a modern cosmetics store with a focus on personalized offers and utilizing user data for marketing purposes.

Target Audience:
Individuals interested in the latest trends in cosmetics who value a personalized approach.

Requirements:

  • Use of cookies to personalize content.
  • A transparent privacy policy with options for managing consents.
  • Integration with marketing automation tools.

Solution Design

Concept:
A store that adapts to user preferences, offering a dynamically changing selection of products.

UX/UI Mockups:

  • Personalized homepage with product recommendations.
  • An intuitive interface that allows easy management of privacy settings

Technology Selection:

  • E-commerce platform with advanced personalization capabilities.
  • Integration with AI systems to analyze user behavior.

Development and Integration

Feature Implementation:

  • A consent management module for cookies and profiling.
  • A system for personalized offers and promotions.
  • A chatbot to support customer service.

External Integrations:

  • Marketing automation tools.
  • Google Analytics 4 with e-commerce functionalities.
  • Integration with remarketing platforms.

Testing

  • Functional Testing: Verify the correct operation of personalization, consent management, and purchase processes.
  • GDPR Compliance Testing: Legal audit regarding personal data processing and consent display.
  • Security Testing: Verification of user data protection.

Deployment and Training

Migration to Production Environment:
Ensure all personalization features function correctly after deployment.

Staff Training:
Workshops on using marketing automation tools and data analysis.

Post-deployment Support:
Monitor the effectiveness of personalization and optimize marketing strategies.

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