Redirects page lists all the redirects that have been created and allows users to create more redirects or manage existing redirect pages. With this update the redirects page have revamped to the newest design standards, adding the emails of the users who last made a change to a redirect and by default, lists all redirects instead of just current redirects (currently do not show upcoming or expired redirects by default).

What’s new?

We’ve supercharged the strength and flexibility of our Boost & Bury rules, giving you 10x more control over how products are ranked in search and browse experiences. With this update, you can now:

• Create precise Boost & Bury rules using a percentage-based strength selector (from 5% to 100%).
• Use a convenient slider or hotkeys for quick adjustments: Weak (3%), Moderate (7%), Strong (10%), and 3xStrong (Rocket button 🚀).
• Apply these rules across various use cases, from single queries to global campaigns, including Search, Autosuggest, Browse Categories, Facet Pages, Collections and Recommendations.

Why it matters:

This update gives merchandisers unparalleled control over product visibility to align with business goals. Whether you’re showcasing new arrivals, promoting sale items, or managing inventory strategically, you can now achieve nuanced ranking adjustments with fewer rules. By eliminating the need to stack multiple identical rules, this enhancement saves time and ensures more precise outcomes for complex merchandising strategies.

Learn more in the documentation.

We know how essential it is to track key business metrics like purchases and revenue, and we understand the need to share this valuable data across your team—from product managers to analysts and marketing experts. That’s why, following our recent dashboard updates, we’re excited to announce that purchases and revenue data are now available for export in the Top Search Queries, Top Categories, Top Collections, and Top Facets reports.

With this release, you can now download these metrics alongside other performance data, giving you a more complete view of how your search and browse experiences are driving sales.

Please note that we’ve also updated column names in the export reports to ensure they align with the metrics displayed in the dashboard. If you have automated processes or macros set up for these .csv files, this update might impact your setup.

We’re always looking for ways to improve your experience with Constructor data. If you have specific data needs or use cases, please reach out to your Customer Success team or contact us through support@constructor.io—we’d love to hear from you and continue to enhance our platform for your business.

We are excited to announce a new update to the Interact tool that brings powerful business metrics directly into your workflow. Now, merchandisers can view total number of purchases and revenue generated by a page, and the number of purchased items for each recalled item right in Interact. 

The  metrics are calculated over the last 30 days, giving you an insight into the impact a page has on your business. For more detailed analytics, you can navigate from Interact to the page analytics section and explore how metrics evolved over time and on different platforms, including desktop, mobile browsers, and mobile apps, if applicable.

If you have any questions or feedback on the analytics in the dashboard, please connect with your Customer Success Manager or contact us through support@constructor.io.

We’re excited to announce a new update in the Searchandizing dashboard that provides greater clarity and control for our customers.

What’s new?

You can now separately track the last manual and AI modification dates for search queries and browse categories.

Here’s what you’ll see:

• Modified by User & Modified By: The date and source of the last manual modification (e.g., user email or API).
• Modified by AI: The date the last automatically generated rule was added.

Why it matters:

This update helps you:

• Easily identify when your team last made a manual change.
• Understand how often Constructor’s AI is optimizing Group Attractiveness rules.

Over the last quarter, we have continuously enriched search and browse analytics in the dashboard with data on purchases and revenue. We’ve always used this data in our machine-learning algorithms, but we want merchandisers to have greater visibility into it too. After all, these are the key metrics for making business decisions.

We are super excited to announce that dashboard users can now track the performance of search and browse pages, including categories, facets, and collections, with purchases and revenue data available over time and split by platform. This will help identify the impact of marketing and merchandising initiatives targeted at particular pages.

There are two ways to find these analytics. You can navigate to Analytics > Search/Browse, scroll to the tables below the charts, and select a page. You can also find the page through Interact and proceed to its analytics from there.

If you have any questions or feedback on analytics in the dashboard, please connect with your Customer Success Manager or contact us through support@constructor.io.

We're excited to introduce Item Variation Slotting, a powerful new feature that adds greater control and granularity to our existing Item Slotting rules.

What’s New?

Item Variation Slotting allows merchandizers to pin or feature a specific item variation on a Browse category page. For example, rather than pin a certain shirt in the #1 slot of the “Shirts” category page, a merchandiser can pin that shirt in blue or in a size large in the #1 slot.

Benefits for Merchandisers

Item Variation Slotting is designed for merchandisers aiming to refine their visual merchandising strategy. This feature enables you to:

• Promote the new flavor of a popular sparkling water drink
• Create a row of blue sneakers followed by a row of red sneakers
• Feature matching holiday outfits for the whole family

For setup and other details, please refer to our Product Documentation. 

What's New?

Merchandisers can now combine Attribute-Based Slotting (ABS) with Variation Slicing (VS) in Search and Browse contexts. Previously, these two tools couldn’t be used together. Now, they’re a powerful, united tool for presenting products exactly as you envision.

Who Benefits?

This update is designed for merchandisers aiming to highlight product variations while leveraging AI to boost the prominence of specific items in campaigns or promotions.

Use Case Example:

Imagine you’re launching an apparel collection with multiple color options. With this update, you can use Variation Slicing to highlight all color variations, while Attribute-Based Slotting allows you to pin specific colors, such as blue, at the top for extra visibility during a promotional campaign.

What’s the Advantage?

With ABS and VS now working together, you have more flexibility to showcase the variety in your catalog, control the order of displayed items, and ensure customers see the most relevant items first—all without sacrificing the AI-driven placement that maximizes sales potential.

For Constructor, the primary goal is to optimize for e-commerce sales. With the dashboard, we strive to provide merchandisers and decision-makers with clarity about how their business performs. There are numerous ways to track performance, but ultimately, it all comes down to revenue. We are very excited to introduce revenue generated by Search and Browse pages to the dashboard. 

Revenue is one of the key metrics that Constructor's machine learning algorithms optimize for. Now, we want to empower merchandisers to focus efforts on pages that make the most impact. Previously, the dashboard communicated page performance through views, clicks, add-to-carts (ATCs), and most recently, purchases. However, since product may vary in price and purchase frequency, it is important to track the revenue they generate as well.

To find revenue for Search and Browse pages, navigate to Analytics > Search/Browse and scroll to the tables below the charts. Tracking revenue over time for individual Search and Browse pages is coming soon.

If you have any questions or feedback on revenue, please connect with your Customer Success Manager or contact us through support@constructor.io.

We’re pleased to announce the launch of Attribute-Based Slotting (ABS) for Recommendation Rules. This new feature allows dashboard users to create more dynamic, flexible product recommendations by defining a filtered set of products for specific slots in a recommendation pod, instead of manually choosing a single product for a position. ABS allows Constructor’s AI to pick the best item from the defined set based on attractiveness and relevance, streamlining the process of setting up pods and enhancing business KPI results. One of the most popular use cases for this feature is building bundles for pods without having to slot individual products, for example matching the pants, jacket, and accessory that matches the shirt the shopper is viewing. 

To use ABS, set up a filter for the type of product you want in a specific slot, such as a brand or product type, and let the AI do the rest. When creating a new slotting rule in the dashboard, choose “by attribute” instead of “by item,” then define the facet expressions for the filter. This gives you the flexibility to ensure that your recommendations are always up-to-date, even if individual products go out of stock or change. 

This feature is applicable across all verticals, from apparel to electronics, and helps reduce the time spent managing slotting rules while increasing key performance indicators (KPIs). By leveraging AI, ABS ensures that the most attractive and relevant products are shown to customers, improving their shopping experience, and boosting conversions. 

Please feel free to submit any questions or feedback to your Customer Success Manager or contact us directly at support@constructor.io. We’re always here to help!