What’s new:

We’ve upgraded Variation Slicing to give merchandisers more precision than ever.

With the new Variation Slicing Conditions, you can choose exactly which product variations to surface — without slicing all possible variants for every item.

You can now:

• Highlight only the variations you want — e.g., new styles, sale items, or seasonal colors.
• Filter variations with powerful conditions such as Item ID, color, size, or other attributes.
• Mix and match conditions to target exactly the right subset of product variations.
• Visually merchandise your PLPs by promoting only the variations that matter for your campaign.
• Use a drag-and-drop preview to instantly tailor the shopper experience.

Why it matters:

Before, merchandisers had to make a tough choice:

• Slice all variations for an attribute (risking cluttered or irrelevant product listings), or
• Avoid variation slicing altogether — missing opportunities to spotlight specific variations.

Now, you can surgically control variation visibility to align perfectly with your strategy.

 For example:

• Launch a PLP for Valentine’s Day featuring only red dresses.
• Promote only the 12-pack size of a soft drink that’s on sale.
• Push new color drops for a top-selling shoe to the top of the page.

This means more relevant merchandising, more engaging shopping experiences, and more revenue potential — without sacrificing the integrity of your PLP layout.

Learn more in the documentation.

What’s new:

We’ve upgraded Searchandizing Campaigns to work across multiple indexes — so you can manage cross-country and cross-environment merchandising in one place.

Now you can:

• Create once, publish everywhere — apply a single set of searchandizing rules to multiple countries, languages, or environments at the same time.
• Save hours by skipping manual copy-paste between indexes.
• Keep campaigns consistent across global markets or between dev/prod environments.
• Easily scale your strategy for regional launches, seasonal campaigns, or cross-country promotions.
• Validate faster — see the end-to-end shopper experience across all markets in just a few clicks.

Why it matters:

Before, cross-country merchandising was a time-consuming, error-prone process:

• Merchandisers had to duplicate configurations for each index manually.
• Testing and validation meant jumping between indexes one by one.
• Rule conflicts often appeared during copying — slowing launches.
• Keeping strategies aligned globally was tricky and sometimes led to outdated or inconsistent shopper experiences.

Now, Cross-index Searchandizing Campaigns make it possible to:

• Launch a new product or marketing push across all markets instantly.
• Keep branding and merchandising strategies consistent worldwide.
• Respond to market changes or promotions at global speed.

Whether you’re boosting new arrivals in all EMEA markets, aligning a seasonal campaign across APAC and North America, or syncing dev and production environments, you can now do it all from one campaign.

Learn more in the documentation.

What’s new:

Collections have finally made their way into the Workspace → Searchandizing dashboard.

You can now searchandize Collections with the same powerful tools and smooth UX you already know from Search Queries and Browse Categories.

Here’s what you can do:

• Easily find the right Collection with filters for last updated user email, rule types (Boost, Slot, Content, etc.), and attached user segments.
• Track who last updated rules — see exactly who and when changes were made.
• Create rules where you expect to — add new searchandizing rules for Collections directly from Workspace → Searchandizing.
• Copy rules with ease — move searchandizing rules between the same Collection ID across multiple indexes.
• Enjoy all the UX enhancements you’ve already experienced for Search and Browse.

Why it matters:

Before this update, merchandisers had to jump through hoops to manage Collections:

• It was tricky to find the right Collection to work on.
• Past updates weren’t always easy to trace.
• Adding rules meant leaving your expected workspace.

Now, Collections searchandizing is faster, more transparent, and exactly where you need it. You’ll spend less time hunting for configurations and more time creating the perfect shopping experience for your customers.

Available now for all customers subscribed to the Collections product.

Introducing Related Categories for Search—a feature designed to help your users find their way to the right product sections when search results aren’t enough.

When users search for broad or unclear terms like “storage” or “gaming,” our system now suggests high-value categories like “Closet Organisers,” “Hard Drives,” or “Gaming Accessories,” helping users shortcut into curated experiences.

Benefits include:

• Better orientation and navigation from search pages
  
  
• Increased exposure for priority categories
  
  
• Higher engagement on discovery-based queries

By guiding users toward relevant categories, this feature reduces friction and significantly improves product discovery. Industry research shows 12–25% improvement in product exploration when users are guided via category-based cues.

To activate Related Categories, please connect with your Customer Success Manager or contact us through support@constructor.io.

At Constructor, we know that merchandisers need visibility into which products are resonating most with shoppers—not just across the site, but on specific pages and over specific timeframes. To make this easier and more actionable, we’re introducing a new Item Analytics table within Page Analytics for search query pages, categories, facet pages, and collections.

Here’s what’s new:

• A new table in Page Analytics that shows top clicked, added-to-cart, and purchased items from that particular page.
• Support for custom date ranges so merchandisers can analyze trends over any relevant time window.
• CSV export to share and collaborate on performance data.
• By clicking on an item, merchandisers can proceed to its dedicated analytics page and see performance across the entire site.

This enhancement addresses a key challenge many merchandisers face: understanding which specific products are performing well within particular discovery contexts. Until now, performance visibility was limited to the last 30 days in the Interact section of the dashboard. With this update, merchandisers can analyze top performers across any time period, having greater flexibility to evaluate seasonal trends, campaign effectiveness, and long-term product performance. With a focused view of what’s working at the page level, merchandisers can double down on high-performing products, fine-tune product placements, and make smarter merchandising decisions faster.

Where to find it: go to Analytics → Search or Browse → Select any page from the tables below the charts → Scroll to the Item Analytics table under the charts.

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.

Constructor is always looking for new ways to enhance the shopping experience for our customers’ shoppers. Our latest facet group sorting algorithm update introduces machine learning to predict the most relevant order for facet groups based on multiple dynamic features.

What is it?

A new machine learning-based approach to facet group sorting that incorporates more data-driven factors, such as coverage and facet type. Instead of using a hard-coded formula, the algorithm uses a trained machine learning model to predict the optimal order of facets for each search or browse query in real-time.

How does it work?

The machine learning model considers the following features:

• Popularity: How often each facet is used by shoppers over a recent period.
• Relevance Attractiveness: The appeal of top items within each facet.
• Diversity: The distribution of items within each facet.
• Coverage: The percentage of products that have the facet.
• Facet Type: The type of facet being displayed.
  
  

These features are processed in real-time by a model trained on historical data. Using this data, the model predicts a final score for each facet, which is then used to dynamically rank the facets during search and browse queries

What problem does it solve?

The new model-based approach enhances the responsiveness and accuracy of facet sorting. It allows for real-time adjustments based on current usage and shopper preferences, ensuring that shoppers always see the most relevant and attractive facets first, leading to a better shopping experience.

Availability:

The feature is rolling out to all customers, replacing the old method of facet relevance sorting with this machine learning-powered approach.

For more information, please contact your Customer Success Manager or reach out to us at support@constructor.io 

What’s new?

With Searchandising Campaigns, merchandisers can now define a single strategy and deploy it across multiple search, category, and facet contexts without creating individual rules for each one. This new feature makes it simple to:

• Group together related queries, category pages, and facet pages into one cohesive campaign.
• Create boost, bury, and slotting rules that apply to all selected contexts at once.
• Save time with bulk actions like Select all and Show subcategories to include every relevant touchpoint with just a few clicks.

Why it matters:

Managing promotional strategies across fragmented contexts used to be time-consuming and error-prone. Searchandising Campaigns fix that by:

• Allowing merchandisers to align their strategy across the entire site so a summer polo shirt promotion appears everywhere from “men’s shirts” to “brand=Ralph Lauren.”
• Reducing repetitive work with intuitive controls like context editing and dynamic subcategory visibility.
• Ensuring better control and consistency with centralised rule management and in-context previews of how changes impact shopper experiences.

Now, whether you’re spotlighting a new product launch or fine-tuning category-specific performance, you can do it all in one place, with precision, scale, and speed.

Learn more in the documentation.

Questions or feedback? Reach out to your Customer Success Manager or contact us at support@constructor.io.

Constructor’s facet group sorting algorithm uses multiple factors to determine which facets are most attractive to shoppers to optimize for e-commerce sales. Yet, there may be instances where merchandisers need to step in and strategically curate the facet experience—hide or change the order of facet groups and/or options within those groups—on certain pages.

That's why we’re excited to expand the dashboard capabilities to merchandise facets to search query pages. Previously, this control was only available on category and collection pages.

This added flexibility allows for smarter, more contextual merchandising. For example:

• During promotional periods, slot 'On Sale' facet group at the top for related search queries.
• Increase visibility of the private-label in the list of brands for key search queries. 
• Hide irrelevant facet groups or options that may appear due to catalog data inconsistencies — such as hiding the 'Gender' facet for 'diaper' searches.

Whether you’re running a campaign, optimizing a product line, or removing noise from the shopper journey, this update gives you more precise control over product discovery experience.

You can find more examples and step-by-step instructions on how to use the feature in Constructor Documentation Guides.

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

At Constructor, we are constantly looking for ways to make it easier for merchandisers to manage their e-commerce business and drive results. However, multi-index customers with operations in different regions and languages face the challenge of ensuring consistency in their merchandising strategy across all of their indexes. Recreating the same rules is cumbersome and time-consuming. That's why we have the Granular Rule Copying feature, and today, we are updating it to support copying rules to different search query pages in the target index. 

Previously, if the query spelling in the target index was different from the source index — which often happens in the case of different languages— merchandisers were unable to copy rules between queries. This meant they often had to manually adjust rules for each region, leading to inefficiencies and missed opportunities for a unified merchandising strategy.

With this update, merchandisers can now copy manual and/or automatic rules from one query in a source index to a different query in a target index, even if the spelling of the queries differs. This helps you maintain a consistent merchandising strategy across multiple regions without the need to manually replicate rules in different languages.

Here are the steps to access the feature:

1. Select Workspace in the side menu of the Constructor dashboard, then select Searchandising.
2. Choose Search & Autosuggest at the top of the listing page.
3. Locate the rule, then select the three-dot icon on the far right of the rule row.
4. Select the copy (middle) icon from the options displayed.
5. On the pop-up, specify new query, rule types, and target index(es).
6. Select Continue in the bottom-right corner of the pop-up.
7. Review the target indexes listed on the following page, then select Start in the bottom-right corner of the pop-up.

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

What’s new?

Faceted Slotting is here to give merchandisers the power to slot items within filtered (faceted) shopping contexts on Browse and Collection pages. With this new capability, you can now:

• Pin items to specific positions after shoppers apply filters like Gender=Mens, Brand=Brembo, or Style=Contemporary.
• Easily navigate and manage slotting rules for refined experiences from a centralized facet searchandising view.
• Drag and drop items or add them manually to the exact spot you want in a filtered results set.

Why it matters:

Until now, item slotting was limited to root-level pages—great for general visibility, but not ideal for targeted merchandising strategies. With Faceted Slotting, you can:

• Showcase the right items in the right context—like highlighting men's t-shirts only when Gender=Mens is selected, or promoting specific coffee blends when users filter by roast.
• Deliver highly personalized and performant shopping experiences by tailoring product placement based on user intent.
• Save time with a streamlined, intuitive UI for managing slotting across multiple filtered views.

📌 Note: Currently available for Browse and Collection pages only. Support for Search, Campaigns, and additional rule types is on the roadmap.

Learn more in the documentation.

Questions or feedback? Reach out to your Customer Success Manager or contact us at support@constructor.io.