Automatic recommendations for increasing the average bill in CMS Elbuz

Increasing the average check with automatic recommendations 🛍️

Imagine that your online store is a personal stylist for each customer. He knows their preferences, selects ideal combinations and unobtrusively recommends additional products. This is not magic, but automatic recommendations in CMS Elbuz! 🎩✨

Problems that are solved by automatic recommendations 🤔

1. Low average bill 💸

   • Customers purchase only the main product without adding accessories or related products
   • Customers do not know about great offers and promotions for additional products

2. Lack of personalization 🙅♂️

   • Customers do not feel that offers are tailored specifically for them
   • Customers get lost in the huge assortment and cannot find the products they need

3. Missed opportunities to increase profits 📈

   • Store does not take advantage of cross-selling potential and upselling
   • Lack of recommendation strategy leads to loss of possible income

Why Elbuz is the best choice for automatic recommendations 🌟

CMS Elbuz offers powerful tools for creating effective recommendations:

1. Automatic selection of accessories and related products 🎀

   • The system analyzes customer behavior and offers relevant additions to the main product
   • Recommendations take into account seasonality , popularity and product compatibility

2. Personalized offers 👨💼👩💼

   • Machine learning algorithms learn the preferences of each customer
   • Customers see personalized recommendations based on their browsing and purchasing history

3. Flexible settings and scenarios 🎛️

   • Ability to customize rules displaying recommendations for various product categories
   • Creating scenarios for cross-selling, upselling and recommendations of similar products

4. Integration with marketing tools 🎯

   • Recommendations can take into account data from CRM and email marketing
   • Ability to personalize offers based on customer base segmentation

Elbuz experience in e-commerce since 2006 and constant advances in technology ensure that your recommendations are always one step ahead of the competition. 💪

Implementation process and results 📊

The Elbuz team will help you at every stage of implementing automatic recommendations:

1. Analysis of assortment and customer behavior 🔍
2. Setting up algorithms and display rules ⚙️
3. Testing and optimizing recommendations 🧪
4. Training your team to use the tools 👨🏫

As a result, you will receive:

• An increase in the average check by 10-30% 💰
• Increased conversion and repeat sales 📈
• Satisfied customers who appreciate your personal approach 😊

Success stories:

Online fashion store Glamoria increased its average check by 25% after introducing automatic recommendations for accessories and related products. 👗👠

Electronics retailer Technoverse increased conversions by 15% and reduced cart abandonment with personalized offers. 💻🎧

Are you ready to increase your average check and please your customers? Create your online store with Elbuz today! 🚀