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!

We’re pleased to introduce Global Rules in Interact, a valuable update designed to improve transparency and control over how your merchandising rules influence search and browse results.

With the introduction of Global Rules, merchandisers can now see all their global and individual rules in one convenient location, providing a clear understanding of how these rules affect search and browse results. This update also improves clarity by allowing users to toggle off Searchandising, enabling them to view results as they would appear without any rules applied. This makes it easier to assess the true impact of their configurations. Additionally, merchandisers can now easily adjust their settings by quickly accessing the Searchandising page to edit global or individual rules.

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!

For Constructor, the primary goal is to solve for e-commerce sales. With the dashboard, we strive to give merchandisers and decision-makers clarity into how their business performs. There are numerous ways to track the performance of different parts of the business. But ultimately, it all comes down to revenue. We are very excited to introduce the Revenue metric for Search and Browse in the dashboard. 

Dashboard users can now understand the volume of their business coming from either Search or Browse and track it over time. With this information, we strive to enable merchandisers to focus their attention on where they can make the most impact.

Bringing Revenue to the dashboard is another step towards communicating performance in metrics that actually matter to business. If you have any questions or feedback on Revenue data, please connect with your Customer Success Manager or contact us through support@constructor.io.

Building on the positive feedback we received from our customers regarding segmentation by platform for Search Analytics and Per Item Analytics, we are excited to introduce platform segmentation for Browse Analytics as well. Merchandisers can compare Views, Clicks, Add-to-Carts, and Purchases between different platforms, including Desktop, iOS Browser, Android Browser, iOS App (if applicable), and Android App (if applicable). 

Judging by where customers shop, merchandisers can focus on platforms that matter the most. Comparison of conversion rates between platforms may suggest driving more traffic from one platform to another or adjusting shoppers’ experience on a certain platform. 

We are eager to learn how our customers look at the data for making searchandizing decisions. Please, feel free to submit questions and feedback to your Customer Success Manager or contact us through support@constructor.io.

We’re excited to announce a new enhancement to our Recommendation rules that will save you time, offer greater flexibility, and allow dashboard users to create rules that help them achieve desired Recommendation results. With the ability to inherit seed product attributes, you can now apply rules that automatically reference the properties of the product being viewed, ensuring more contextually relevant recommendations when seed items are critical to results. For instance, if a shopper is viewing a Nike product, this feature can automatically ensure that only other Nike items are recommended. This improvement allows you to create more personalized and effective product recommendations without the need to write extensive rule sets.

To use this feature, dashboard users simply need to set the “then” value in a rule to match the seed product’s attribute, such as the brand or collection. This can be done directly from the dashboard, making the process seamless. When applying recommendation rules, you will now see the option to “inherit” the value from the seed product as the first option in the attribute list. This can be used for various rule effects like boosting, burying, blocking, or allowlisting products, giving you full control over the merchandising logic while simplifying the configuration.

This feature has wide-ranging applications across industries. Apparel brands can recommend items from the same collection, while electronics retailers can ensure strict brand-based recommendations, such as showing only Apple products when viewing an Apple item. Whether you are working in furniture, electronics, or any other vertical, this tool allows you to meet business needs, streamline rule management, and enhance the customer’s shopping experience.

If you have any questions about this feature or would like to learn more about Constructor’s Recommendations, please contact customer-success@constructor.io. 

We’re thrilled to announce an exciting enhancement to our Attribute Enrichment dashboard — attribute-level insights are now available directly within your dashboard!

Previously, catalog-wide metrics provided valuable insights into enriched attributes’ overall performance. Now, with attribute-level metrics, it’s even easier to track and analyze the performance of individual enriched attributes.

Here’s what’s new:

• Attribute-Level Coverage: See what percentage of your products are enriched with each specific attribute.
• Attribute-Level Precision: Track the accuracy of AI predictions for each attribute, ensuring your products are enriched with the right data.

How does it help you? Now, it’s even easier to track and analyze the performance of individual enriched attributes — everything you need is now at your fingertips in the form of clear, actionable metrics. For instance, a low Coverage percentage might trigger concerns that some products are missing enrichment, requiring manual review to diagnose the cause. With attribute-level metrics, it’s now clear that if an attribute like "Sleeve length" only has 50% coverage, this is expected since not all products have sleeves.

These metrics give you full transparency into how Attribute Enrichment is improving your product catalog and streamlining your workflow.

The default view of the Attribute Enrichment Dashboard is now set to attribute-level metrics.

Looking ahead, we plan to improve these insights by:

• Refining the Coverage metric to reflect only the relevant portion of the catalog for each attribute.
• Introducing filtering by product categories, so you can narrow down your focus and identify opportunities for further improvement.
• Providing more detailed breakdowns of how enriched attributes impact user engagement, helping you understand their value even more clearly.

For any questions or assistance, please reach out to your Customer Success Manager or contact us at support@constructor.io.