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Related Categories Solution for eCommerce

Related Categories

Help shoppers navigate to desired results with data-driven category recommendations mined from user behavior.

See Pricing Explore AI Navigation

Narrow down search intent with Related Categories

Related Categories help shoppers narrow down search results to find the products they're looking for. It is available in Autocomplete and on Search Engine Result Pages. For example, if a shopper searches for a fridge, Related Category suggestions like Stand-alone fridge or Mini fridge will appear to help shoppers quickly refine their search intent.
By leveraging automation and data mining, this feature ensures the most relevant category recommendations appear for each search so shoppers can easily explore product options within a desired category, find what they're looking for, and make a faster purchase.

Move your KPIs with data-backed recommendations

11%

increase in Revenue

9.1%

increase in Transactions

19.2%

Click-Through Rate on Related Category suggestions

Statistics are based on Prefixbox Analytics

Case Studies

Help shoppers refine their search in key places

Autocomplete

In Autocomplete, Related Category suggestions will appear with images of the most popular item within that category.

For example, if someone searches for a microwave, they can specify if they want a Microwave oven, Regular microwave, or Microwave with grill directly within the search box.

Search Engine Result Pages

There are two ways you can use Related Categories as intent clarification tiles on the SERP. They can work as smart category filters above the existing filters or as category page navigation to the most relevant categories.

In both cases, if a shopper searches for audio player, category recommendations for Headphones, Speakers, or Record players will appear to help guide shoppers to their desired product lists.

Empower shoppers to explore products within a desired category

Related Categories in Autocomplete

Offer easy navigation to the most relevant items

If a shopper clicks on a category recommendation in Autocomplete or a Related Category intent-clarification tile, they will be directed to a specific category page for their selection.

For example, if someone searches for microwave, they can click on the Microwave with a grill recommendation and easily view the most relevant products offered within that specific category on one page.

Provide smart filters to narrow down SERP results

If a shopper clicks on a suggestion in the Recommended Category module above filters on the SERP, this placement works like an attribute filter and immediately narrows down SERP results to products within a desired category directly on the search page.

For example, if a shopper searches for audio player, and clicks the category recommendation for Headphones, the SERP will immediately update results to show the most relevant headphones available in the store.

Related Categories on SERP

See Pricing

Pricing is based on API requests and the suites used. Every suite comes with a 14 day free trial.

Prefixbox AI Navigation

Related Categories is part of Prefixbox AI Navigation. Explore the suite to see how to increase engagement and help shoppers refine their search intent with just one click.

Optimizing search and discovery never stops

Related Categories is easy to integrate and comes with an advanced Insights & Experimentation Platform to help you maximize business performance.

Related Categories Analytics

Easy-to-understand metrics, continual testing, and frequent optimization help you understand how shoppers are interacting with category recommendations and pages to ensure they remain relevant and effective.

A/B Testing

The Prefixbox Team will run A/B tests on different functionalities to optimize your Related Categories for peak performance.

Integration

Front-end and API integration are available.

​Portal Configuration

Related Categories can be easily set up in the portal. Retailers can easily access our Experimentation Platform to run tests and make optimizations, and our Customer Success Team is here to help every step of the way.

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