Semantic Enhancer

Search Results with Built-in Optimization

Conventional search functions all work along the same lines. They compare search terms with the product data stored in the shop. This generally works. But not always, because the product descriptions usually contain the same terms as the descriptions of the accessories. Search engines consider both a hit – resulting in product accessories often appearing before the product being sought. Until now this problem could only be solved manually and in a time consuming manner in the back end.

The Semantic Enhancer makes it possible for the first time to recognize the relationships between search queries and the subsequent customer transactions. The information gained is automatically used in the search results. With every click on a product detail page, the contents of each shopping cart and each completed sale improve the hit quality and thus improve the satisfaction of the shop visitors. Products are products, and accessories are accessories. The customer is shown what he or she is looking for first.

How Semantic Enhancer Works

The Semantic Enhancer affects ranking similar to ASO. Unlike ASO, it not only looks at products that match the search terms, but also at products that are semantically similar to them.

This way FactFinder can recognize, based on customer behavior, that when searching for printers, ink is rarely bought, but often printers. FactFinder will then push back the ink results for this search.

You can find the Semantic Enhancer module in the Modules section under More settings…

Configuration

Configuring the Semantic Enhancer is similar to configuring ASO:

Decide if Semantic Enhancer should be active: if active, then FactFinder will evaluate customer behavior on the basis of additional fields.

Range. The range in which the Semantic Enhancer may affect the ordering. The higher the specified value, the more that product positions may be affected.

Mode. Semantic Enhancer can be configured in two modes:

• ASO — FactFinder copies basic settings from ASO.

• Personalization — available only if the Personalization module is licensed. Semantic Enhancer is configured based on an Enhancement field .

Learning days defines how many days the learning process should consider. Avoid a long period, as Semantic Enhancer will respond more slowly and changes will carry less weight. To improve performance, limit the number of records so Semantic Enhancer processes only the first 50 matches.

Benefits of Semantic Enhancer

• Perfectly sorted search results. Customers find exactly what they're looking for.

• Virtually no manual intervention needed in the back end.

• Constantly updated information. Searches improve with each data import.

• Increased sales through improved shop usability.