Introducing Baynote VUE
Baynote VUE is a simple, self-service web application that puts automated merchandizing directly into your hands. Baynote VUE includes guided, best practice driven tasks, simple yet powerful KPI reporting and intuitive merchandising controls. VUE enables online merchandisers to respond quickly to catalog changes, market conditions and trends while easily sharing ROI and performance metrics company-wide.
Download VUE Datasheet PRODUCTS & SOLUTIONS
Baynote VUE A self-service web application custom built for online merchandisers Direct-to-website automation Big data for personalization made easy Supports team collaboration Your business at-a-glance Enables fast, efficient site-wide merchandising Preview how recommendations look on your web page before deployment Automatically optimize for engagement or revenue: VUE does the work for you Enables more merchandisers to participate and collaborate on best practices Stay informed of what’s working and what’s not Baynote VUE Reporting Dashboard metrics ribbon 24 X 7 access Simple reporting the way you want to see it Custom reporting Open APIs Instant visibility to personalization KPIs Quickly assess performance across widgets, product and category pages Easily track and analyze engagement, CTR, revenue, conversion metrics and more Reports that meet your needs by time frame and metric Import Baynote data into your own BI or analytics tool via secure API Baynote VUE Merchandising Automation Define and select global KPI strategies Multiple recommendation sets per page Outfitting & bundling Pins list & scheduling Real-time preview Simply select goals like clicks or engagement to drive performance site-wide Optimize vertical and horizontal recommendations sets for greater engagement and conversion Synchronize item bundles across touch points to drive revenue and improve customer experience See all site-wide pins at once for a global view of your strategies while scheduling future pins easily Immediately see where and how your rules, pins and filters are affecting recommendations