Personalized Recommendations : Target users by showing Personalized Recommendations. Increase conversions. Upsell/Cross sell to Increase sales on Headless & Shopify stores
Increase Conversions & Revenue : Dealing with low conversions? Use data and AI/ML to generate Personalized Recommendations to show the right product at the right time.
Frequently Bought Together : Increase Average Order Value (AoV) by upselling products on Product Page & Cart Page. Increase revenue by using smart and manual upsell
NEW PRO FEATURE: Custom Widget Templates. We ensure to match widgets exactly to the existing recommendation sections of your theme.
We generate personalized recommendations using our proprietary algorithm. We also allow you to manually configure the recommendations to meet your specific needs.
Use our dashboard to configure widgets on each page. You can add unlimited Widgets on any page to show Dynamic & Personalized Product Recommendations.
Keep track of revenue generated by Recommendations; visitors and their actions using our analytics.
Similar to Amazon, Frequently Bought Together widget helps to upsell products and increase order value.
You can target customers once they have shown interest in your products by visiting them. We generate recommendations to target customers. This can be used for cross-sell as well as for increasing conversions.
Cross-sell products to increase your sales. Define recommendation rules to target specific product types.
Personalized Product Recommendations are based on relevant products from past order data and events like add to cart, product page views. The algorithm looks for patterns in user behavior to find what they are looking for.
Up-to-date tech: works with the latest themes
About the Author
Matej Kontros is an E-Commerce expert and app developer with over a decade of professional experience in IT.
Matej has worked for organisations of all types and sizes, including global players, startups, and agencies. He designed, developed, and maintained complex projects.
Matej's expertise includes e-commerce, software engineering, web development, systems administration, internet security, managing projects, and building teams.
Visit his website at [ Web Linkedin ] or contact him at email@example.com.