OK. I want to find a dress… Hmm, long?... Er, short?... Maybe midi? Yeah! Definitely, I’ll go for midi!
Related Tags are descriptive keywords that complement and enhance the search query to make it easier for shoppers to find what they’re looking for with just one click. They’re closely related to the search query, fine-tuning the search to get highly relevant results. They only appear after the search process is completed, and the results appear.
For example, people usually start searching using simple, broad term queries, such as “dress”. When they get loads of results, they realize that what they’re really searching for is a specific kind of dress. That’s when Related Tags come into play, providing extra and relevant information for a more precise search, like “long”, “midi”, or “maxi”.
Don’t confuse Related Tags with Facets and Filters. Facets and Filters narrow down the search results to pinpoint products from a wide range of hits, while Related Tags complement the original search query, launching a new search that can bring up a new set of results or refine the existing ones.
For example, you can search for the term “dress”, then select the “midi” related tag to refine the initial search and get more relevant results. Finally, you can select the “XS” filter from the Size category to filter and display all extra-small midi dresses.
Likewise, try to not mix it up with Query Suggestions since they refine the query while you’re typing it before launching the initial search. Bear in mind, however, sometimes the suggestions that display for Related Tags and Query Suggestions are the same.
You can identify Related Tags as they look like actual tags or labels located beneath the search bar, once a search is launched and the results are displayed.
- Sharpen query formulation. Educate shoppers on how to make better queries.
- Speed up query entry, especially on mobile devices.
- Improve product findability. Guide shoppers to the right products.
- Enhance the shopper experience. Amaze shoppers with alternative searches to what they’re looking for.
- Improve search performance. More specific queries means more accurate results.
Related Tags are generated by shoppers’ actions in the search UI. As shoppers perform different searches and actions, behavioral information (queries, clicks, add to cart, etc.) is collected using the Tagging microservices and processed in the Query Signals batch process.
The information is then analyzed to select the appropriate tags related to a specific query. So, from queries such as “long dress”, “midi dress”, or “maxi dress”, long, midi, and maxi are identified as the Related Tags for the query "dress".
These candidate related tags are then reviewed to check whether they are valid according to different filters (i.e. blacklists, duplicity, etc.), resulting in a list of final Related Tags that is ready to go.
For a correct performance, make sure that your current search service supports this type of feature.
Explore the interactive map to see how Related Tags relates to the other Empathy Platform features and microservices.