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Personalized marketing for Good Wine: Salesforce CRM development with AI recommendations

Tags:
CRME-commerce

About the project

Appropriate and unobtrusive suggestions with taste

Good Wine is a cult Ukrainian brand that has formed its own culture of wine consumption, gastronomy, and premium service. The chain combines the format of a modern supermarket, restaurant spaces, and an online store, where only carefully selected items are available. The company always focuses on the customer experience, which continues even after the purchase through services, recommendations, personalized offers, and a community of connoisseurs.

The client's problem

Good Wine was already using Salesforce Marketing Cloud for email and push communications, but the system wasn’t reaching its full potential. Content wasn’t personalized enough, and recommendations didn’t take into account customers’ interests in real time.

Key challenges:

  • lack of product recommendations in letters and on the website;
  • insufficient accuracy of audience segmentation;
  • the inability to determine the ideal time to send messages;
  • there was no assessment of user engagement;
  • the platform did not collect behavioral data from the website and did not see what the customer was interested in;
  • There was a risk of “overheating” communication without controlling the frequency of mailings.

Good Wine wanted every interaction with the brand—whether in an email, push notification, or on the website—to be as relevant and natural as possible for the user, and CRM was supposed to make that happen.

Case information

Expanded CRM capabilities and implemented AI personalization modules for Good Wine

  • Transformed the existing marketing communications system by adding AI tools for automatic content selection, mailing optimization, and product recommendations

    Our approach:

    We started with an audit: we analyzed the current logic of mailings, the frequency of interaction, and the extent to which the content of messages meets user expectations. This allowed us to see where customer attention is lost and what can be automated.

    Next, they improved the CRM: it learned to determine customer activity, choose the right moment to send messages, and independently generate personalized product offers based on user interests.

    At the same time, we linked the website to the CRM system: now it sees what interests customers—from search to purchase—and uses this data to select offers more accurately.

    We finished by testing the new logic on separate audience segments and training the Good Wine marketing team: we handed over the tools and ensured they were ready to work independently with the system.

Work results:

  • Recommendations have become more relevant, and mailings have become more accurate and less intrusive. CRM is now the basis for accurate, timely, and relevant dialogue with each customer.

    Our client received:

  • automatic generation of personalized recommendations in letters and on the website;

  • content that matches the specific interests of each customer;

  • individual calculation of the frequency and timing of message delivery;

  • CRM integration with the website and behavioral data collection;

  • engagement analytics: who responds and who drops out;

  • reducing manual work and accelerating marketing processes.

  • The system operates autonomously, learns from data, and opens up opportunities for scaling to new channels without compromising communication quality.

Key facts about the project

5 months

Project duration

Medium

Project size:

Detail image

Project complexity

Completed

Project status:

Our Team: Project Manager Salesforce Developer Marketing Cloud Specialist Data Analyst QA Engineer Frontend Developer Backend Developer

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