Our product recommendation engine understands the preferences and intent of each visitor and shows the most relevant recommendation type and products in real time. Recommendations improve as the engine learns more about each visitor.
Use more than 20 types of product recommendations including those you see on Amazon, such as “What do customers ultimately buy?” and “What customers are buying now?”
Recommendations can be added to any webpage. Most common page types include landing, category, product detail, shopping cart, search results and confirmation pages.
We were looking for a tool to manage automatically our merchandising needs. But we found more than that in Barilliance, its personalization software surpassed our expectations and drove conversion and cross sell up to record levels while literally saving hundreds of hours in manual work. Definitely a great tool and partner in our marketing strategy
Customized for your site
Product recommendations are setup to take domain specific attributes that are important for your site (i.e. size, color, brands). We customize the product recommendation widgets to look like an integral part of your eCommerce site, matching your existing design.
Flexible Merchant Controls
You can override the automated product recommendations and define rules based on your merchandising strategy.
You can decide on which pages the content will be visible and do it yourself in a few minutes without IT involvement.
Personalized Emails recommendations
Are you sending the same product offers to all your customers? How about sending each customer a personalized email with product recommendations based on their most recent activity on your site?
Works with your existing email provider
Our recommendation widget works with any email provider that supports custom fields. Now you can continue to manage all your email marketing initiatives in one place and not worry about syncing subscribers.
On average, revenues generated from product recommendations account for 15% of total revenues.
Conversion rates of customers who clicked is 5 times higher compared to those who have not interacted with recommendations
- Increase conversion rates
- Higher average order value
- Improve merchandising efficiency
- A/B testing
- Higher engagement and loyalty
No Need for IT Support
Simply add our tag and you’re done. How come? we configure our system to capture data instead of asking your IT to send it to us. Once the system starts to collect data, there is a learning period in which data is analyzed (2-4 weeks depending on your traffic and catalog size).