We are thrilled to introduce the latest enhancements to our platform that enable our new Attribute Enrichment functionality, making product data management a breeze. In this release, we've focused on providing you with more control and visibility over the attributes enriched by AI, ensuring that your product data remains accurate and aligned with your expectations.

The Attribute Enrichment report empowers merchandisers to easily assess attributes augmented by our AI system. This report offers a concise and comprehensive overview of all AI-enriched attributes per product, enabling you to maintain precise control over your product data. By effortlessly filtering out unwanted attributes, you can fine-tune the AI enrichment process to match your exact requirements.

This report streamlines your workflow, saving you time and effort in verifying the AI-generated attributes. Whether you're dealing with a handful of products or a vast catalog, our Attribute Enrichment report simplifies the process of keeping your product data up-to-date and accurate.

For more information about this capability, please connect with your Customer Success Manager or contact us through support@constructor.io. We will be happy to demo it for you! 

We’re excited to announce that Analytics for Quizzes are available in the dashboard. Now, alongside having the ability to build out powerful discovery experiences for your customers with Quizzes, you can also understand how they are performing and any optimization opportunities that you may have. 

With this release, you will now be able to see aggregate analytics across all your Quizzes to get a high level sense of their overall performance. Additionally, you’ll be able to see detailed analytics for each of your Quizzes. 

With detailed analytics, you will be able to see: 

• Quiz starts (both total and unique sessions)
• Quiz completion rate
• % of results clicked and total items clicked within the result set
• Add to cart rate and total number of items added to cart
• Average time spent in the Quiz

Summary view where you can see an overview of your Quiz specific analytics. 

In addition to this, you can also understand insights around drop off rate per question, see anonymized individual quiz sessions with questions and answers, and understand top items in your result set by number of impressions and add to cart rate to get a sense of your top performing products through Quizzes. 

Response Summary tab where you can see the number of responses by option for each question.

Responses tab where you can see anonymized user sessions with their responses by question.

We’re looking to expand analytics further with plans to add more metrics like Average Order Value in the near future as well. 

For more information about this new functionality please connect with your Customer Success Manager or contact us through support@constructor.io.

Being able to monitor the performance of your product discovery experience is very important as you fine-tune and optimise to get the best out of Constructor for your customers and your business. To that end, we’re excited to announce that we now have revenue metrics available in the dashboard. These can be seen in the dashboard homepage as soon as you log in.

We’re starting with Search and you will now be able to see Total Revenue, Revenue per Visitor and Average Order Value at the top of the new layout graph, along with all the other metrics you’re already familiar with.

For more information about this capability, please connect with your Customer Success Manager or contact us through support@constructor.io.

We're thrilled to announce the launch of a powerful new feature: Variation Slicing. This enhancement to our API allows you to better present the diverse variations of your products, grouping them in the ways that feel most correct to you, and being able to do so differently depending on the context. You’ve told us this would improve the overall product discovery experience for your end users, and we’ve heard you. 

Traditionally, different variations of the same product (e.g., different colors or sizes of a T-shirt) would be bundled together as a single item, or separated as all separate items, without much wiggle room in between. However, with the Variation Slicing feature, you can now split these variations and present them as distinct items or in distinct groups (e.g. separated by material, by groups of colors, by sale status, or any other grouping you think makes sense for you). 

For instance, let's say you have a T-shirt line available in various colors - red, blue, and green, as well as different styles - v-neck, round neck, and polo. With Variation Slicing, you can decide how these variations show up in search results and categories. If a customer searches for 'red v-neck t-shirts,' you can choose to display only the red v-necks as separate items, each with its unique size variations. But if the query is just 'v-neck t-shirts,' you can group all v-neck T-shirts of different colors together, while still separating them from round necks and polos.

Similarly, if a customer is looking for 'blue t-shirts,' you can split all blue T-shirts (irrespective of the style) from the other colors, presenting all blue t-shirts as individual items. In each scenario, you're optimizing your display based on the search context, effectively enhancing user experience. 

Variation Slicing enables you to enrich your product discovery process and add variety to categories. It provides you an avenue to highlight new or trending product variations, offering an even more exciting and richer shopping journey for your users. This feature heightens your product presentation, offering an unmatched level of flexibility for both search results and category groups.

Let's walk through an example:

To set a Variation Slicing rule, you would use the following API request:
Example request:

Sample item JSON payload:

Once this rule is set, each color variation of an item would be displayed as a separate result in the autocomplete, search, or browse responses.

As always, we recommend using Variation Slicing in conjunction with your other update routines to ensure that your catalog remains consistent and accurate.

We hope that this new feature will empower you to customize your catalog display to better meet the needs of your customers. For more detailed instructions on how to use Variation Slicing, please refer to our general description of variation slicing and to adding variation slicing rules to refined entities documentation.

We're looking forward to sharing more updates and improvements with you in the near future. If you have any questions or require further assistance with this new feature, please feel free to reach out to your Customer Success Manager or contact us at support@constructor.io.

Searchandising Campaigns, one of our most highly anticipated and requested features is here! 

Searchandising Campaigns is an efficient way to create searchandising rules for multiple queries at once. With this, we’re introducing a new and improved query selector which will provide merchandisers the ability to search and select multiple queries at once. In the image below, you can see the new query selection window to create a campaign. 

All existing searchandising rule types are available within Searchandising Campaigns, so with this release, you can set up content in search or create special event promos around a group of queries with greater efficiency.

For more information about this capability, please connect with your Customer Success Manager or contact us through support@constructor.io.

We’re thrilled to announce the launch of the new and improved Constructor Salesforce Cartridge, which is now available on the Salesforce AppExchange!

The Constructor Salesforce Cartridge allows Salesforce Commerce Cloud users to configure automatic ingestion of product, pricing and inventory data into Constructor in just a few steps. Joint customers experience an impressive acceleration of their time to value, going live up to 4x faster with the Constructor Salesforce Cartridge. Your integration can be set up as quickly as the same business day of the Cartridge installation.

Learn how integration is made even easier for SFCC users with the Constructor Connect Cartridge for B2C Commerce:

• Index your Salesforce Commerce Cloud products, variations and groups into Constructor’s powerful search, autosuggest, browse, recommendations, quizzes, collections, and attribute enrichment tools.
• Configure personalized data ingestion strategies in a couple of clicks right from your Salesforce instance.
• Customize your Cartridge to your unique needs, with flexible data transformation possibilities that support even the most complex eCommerce integration use cases.
• Compatible with SFRA Storefront implementation: The Constructor cartridge works in conjunction with any frontend framework, including SFRA, Salesforce’s innovative reference architecture, to power the ultimate search and discovery experience.
• Developer-friendly, with automated product updates that eliminate the need for any manual maintenance, update controls, or patches, as well as full visibility on your catalog ingestion status anytime on the Constructor dashboard.

Watch the tutorial below for a step-by-step guide on how to set up your integration using the Constructor Connect Cartridge for B2C Commerce:

Check out the app listing on Salesforce AppExchange and read our documentation to learn more. 

If you have any questions about the Constructor.io Salesforce Cartridge or how to get started with integration, don't hesitate to reach out to partners@constructor.io.

Recommendations Searchandising has a revamped navigation that makes rules easier to manage and navigate. The condensed rules list makes it easier for merchandisers to search or scan for seed items or attributes that are affected by rules. Additionally, helpful information like the number of rules attached to each item or attribute, and when the rule was last modified are included in the rule summary. Last modified is a sortable field that helps merchandisers find the rules most recently modified or sort in reverse to find the oldest rules. In the image below, you can see the new rules list view in a representative complementary strategy:

Recommendations Searchandising rules can also be edited from this view. To edit a rule, click the small edit icon to see the familiar Recommendations rule interface to add, edit, or remove rule effects.

For more information about this capability please connect with your Customer Success Manager or contact us through support@constructor.io.

Being able to analyse the performance of your product discovery experience is important, and to that end, we’re excited to announce that we have released Facet Page Analytics.

A facet page is an efficient way to present a filtered page of products to your customers that you can searchandise. Now, you’ll be able to see statistics on the performance of your facet pages in the same way you can already with Category Analytics and Collection Analytics. You will only see data populated here if you’re using this page type, commonly used for brand page experiences or as an alternative to more traditional group hierarchy.

The new Facets Analytics tab is available from within the Analytics section of the dashboard, beneath the Browse tab. Scroll down to see the table of all of your facet pages.

Clicking into a facet page will show a detailed analysis, including pageviews and clickthrough rates, using the same layout you’re already used to with Category and Collection Analytics.

And while we’re on the topic of facet analytics, if you’re curious to see metrics on how your customer facing filters (facets) are performing, you can see that in the Facets section of the dashboard by category or collection. 

For more information about this capability please connect with your Customer Success Manager or contact us through support@constructor.io.

Merchandisers can now include the main product on a page in bundle/complete-the-look recommendations results, returned in the first position of results. This option makes it easier for shoppers to see the whole bundle/complete-the-look recommendations set and quickly make decisions on adding the entire set to cart. The image below shows bundle recommendations for a men’s blue jacket. With the primary product included in the results, shoppers can press “add all to cart” with one click and purchase the entire bundle. This approach reduces friction on shoppers and helps improve Average Order Value (AOV).

For more information about this capability please connect with your Customer Success Manager or contact us through support@constructor.io.

Keeping your catalog up to date with Constructor is a critical part of your product discovery experience, and it’s just got even more flexible. We’ve introduced two new actions to help you maintain the items and variations, allowing you to update just the data you want.

All of the existing methods to send us delta updates (REST endpoints and FTPS) now also have the ability to either ignore or create items if they do not already exist.

The first, Patch Delta Ignore, works the same way as a regular patch delta but ignores the items and variations which are in the files or request but not in the system.

The second, Patch Delta Create, also works the same way as the regular patch delta but adds items and variations which are in the files or request but not in the system.

If you are using FTP to send deltas, the file names should be in the following format:

key_7AeGOdJ9BxmKF942_Products_patchdeltaignore_2023-05-10-16-18-00.tar.gz
key_7AeGOdJ9BxmKF942_Products_patchdeltacreate_2023-05-10-16-18-00.tar.gz

For the catalog and items & variations endpoints, add on_missing=IGNORE or on_missing=CREATE to the URL parameters.

For more information about this capability please connect with your Customer Success Manager or contact us through support@constructor.io.