Personalized Product
Recommendations
Target customers with AI driven recommendations across your sales channels.
True AI Driven Personalization
Our machine learning algorithm collects customer data such as which products they look at, add to cart, past purchases, and which they spend the most time on.
Using this data, Barilliance understand the preferences of each visitor, and shows the most relevant recommendations in real time.
Sophistication
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.
Complete integration to your brick and mortar stores
Complete integration to your brick and mortar stores
Integrate data from all channels to provide all of your customers with the most relevant personalized product recommendations.
Our machine learning algorithm combines online and offline data of customers who have visited both channels. For offline-only customers who are first-time visitors to the site (identified with the triggered email booster) or are email receivers (newsletter/post-purchase), the engine personalizes product recommendations based on their offline purchases.
Barilliance is loved by users worldwide
Doug Smith
VP Marketing & Business Development - 3Balls
"Nearly 30% of 3balls.com online shoppers have responded favorably to Barilliance product recommendations, resulting in substantial incremental revenue lift."
Pratik Kumar
Director Digital Marketing - Zivame
"We have also been able to significantly increase conversions on product and cart pages through the personalized recommendation engine..."
Tamara Falcke
Email Channel Manager - Surfstitch
"We were able to achieve a 300% revenue lift on our previous efforts in this area and were able to more than double our previous ROI."
Dane Walker
Marketing Director -Princess Polly
"Customers who interact with a recommendation are four times more likely to purchase and 24% more valuable. The ROI is staggering..."
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
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 Email Recommendations
Are you sending the same product offers to all your customers? How about sending each customer a personalized email with dynamic product recommendations based on their most recent activity on your site?
The dynamic recommendations are presented in real time, when the email is opened– not when the campaign is sent out.
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.
Unmatched ROI
Target customers with personalized recommendations across multiple pages.
Expected Results
On average, revenues generated from product recommendations account for 12% of total revenues.
Conversion rates of customers who clicked is 5.5 times higher compared to those who have not interacted with recommendations.
Key Benefits
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).
Unmatched ROI
Target customers with personalized recommendations across multiple pages.
Expected Results
On average, revenues generated from product recommendations account for 12% of total revenues.
Conversion rates of customers who clicked is 5.5 times higher compared to those who have not interacted with recommendations.
Key Benefits
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).