Crownpeak is currently working with early adopters of Suggest+. Once the on-boarding of all early adopters has been completed, we will reach out to our remaining customers regarding upgrading to Suggest+. 

Note: Suggest+ replaces the legacy Suggest Service. The legacy Suggest Service documentation remains available here for reference to existing implementations.

First impressions that count

Search suggestions are often the first interaction a shopper has with your product catalog. This critical moment determines whether they discover what they need or abandon their journey. Fredhopper Suggest+ equips you with all the tools necessary to ensure that shoppers get the best possible first impression and continue their shopping journey, maximizing conversions.

A solution that converts

When shoppers begin typing in a search box on an e-commerce site, they expect fast, accurate, and relevant suggestions. Often a shopper's intent is not accurately reflected in their typed search terms which can lead to irrelevant or empty results and in turn to early exits. Fredhopper Suggest+ transforms the first keystroke into a valuable connection. It understands intent in real time, offers accurate suggestions both for keywords and categories as well as products and aligns with your live search results. Shoppers find what they want faster, and merchandisers gain a consistent, data-driven way to guide discovery and increase conversions.

Fredhopper Suggest+ consists of three key components:

• Keyword Suggest
• Category Suggest
• Product Suggest

Keyword Suggest

Keyword Suggest encourages valuable searches. It ensures that, as the shopper types, relevant search term suggestions are offered. These keyword suggestions are based on historical search behavior (i.e. analytics data tracked by Fredhopper Insights or a third-party provider) as well as your product catalog data. Because the suggestions are derived from aggregated search data, the suggested keywords tend to be biased toward the most frequently typed or popular queries in search history. The keywords created based on your data are checked against FAS search results. This way only keywords that yield sufficient search results are presented to the shopper. Keyword Suggest is moreover based on a Lucene search engine which natively handles fuzzy (e.g. "plu ligt glases" for "blue light glasses"), partial (e.g. "light glasses"), and out-of-order searches (e.g. "glasses blue light").

Category Suggest

Category Suggest ensures that shoppers reach their desired destination as quickly as possible. Category suggest offers direct links to categories if the shopper's search term matches an existing one. This way shoppers can navigate your site as fast and efficient as possible. 

Product Suggest

Product Suggest retrieves up-to-date product items that match the top keyword suggestion. This provides an opportunity to merchandise products directly when the shopper first uses the search. Product Suggest is connected to FAS and uses the same ranking rules, result modifications and synonyms defined for your product catalog in Merchandising Studio (unless specifically configured otherwise). This allows merchandisers to use a range of FAS merchandising tools for Product Suggest. Because Suggest+ and Fredhopper Search are aligned, shoppers sees the same products in Product Suggest and the corresponding search result page when pressing Enter. 

Learn more: For a detailed explanation how Product Suggest retrieves products see Top Keyword vs. Instant Search for Product Suggest.

Key benefits of Suggest+

Fredhopper Suggest+ offers various key benefits: 

• Improved consistency between product suggestions and search results: By utilizing FHR Search, Product Suggest ensures consistency between product suggestions and search results.
• Instant merchandiser control: Merchandisers have full control over which products are suggested and can instantly optimize configuration if business requirements change. Merchandisers can adjust the suggested products immediately in FAS if necessary.
• Reduced on-boarding effort: Because Product Suggest is directly linked to FHR Search, no separate configuration is required. 
• Better correction for keyword suggestions: The Keyword Suggest back-end powered by a Lucene search engine ensures that typos and word order do not interfere with providing relevant keyword suggestions.
• Reduced zero-result searches: Keyword suggestions are checked against potential hits in FAS, ensuring that only keywords yielding sufficient search results are shown.
• AI Tooling unlocked: If AI Search or AI Scores are activated for your FHR Search, then it is also activated for Suggest+.
• Reduced indexing time: FHR Search and Suggest+ are indexed together, eliminating the need for separate indexing.