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Functional specification

Search intelligence

  • Query analysis: Elevate interprets user queries using semantic analysis to understand the intent behind search terms.
  • Query matching: Queries are matched against enriched product data to deliver accurate and relevant search results.
  • Search assistant (Autocomplete)
    • Phrase suggestions
    • Recent searches (by user)
    • Suggested searches (popular searches)
    • Product suggestions
    • Content suggestions
    • Recently viewed (products)
  • Search result page
    • Ranked product listing
    • Autocorrect
    • Facets (filters)
    • Sort order
    • Content listings

Product recommendations

Elevate 4 helps shoppers discover products by analyzing their behavior (e.g., searches, clicks, purchases) and preferences. The recommendation engine uses algorithms to identify patterns and suggest products based on user actions.

Available recommendation types:

  • Top products
  • Personal
  • Recently viewed
  • Alternatives
  • Upsell
  • Style with
  • More from series
  • Add to cart
  • Cart
  • Favorites
  • Newest products

Landing page listings

Landing pages can be used for start pages, category pages, brand pages, or collection pages. Elevates Landing Page API key features include:

  • Ranked product listing
  • Recommendation product listings
  • Autocorrect
  • Facets (filters)
  • Sort order
  • Content listings
  • Navigation tree

Product detailed pages (PDP)

Product pages display detailed information about specific products and can include various product recommendation lists. Elevates Product Page API key features include:

  • Detailed product information for rendering the PDP
  • Selection of recommendation product listings

Data

Product data

Product Data in Elevate follow a three-level data model:

  1. Product group
  2. Product
  3. Variant

Product data import & export

Product data can be imported and exported through the Admin API endpoints

Content data

Content items enable visitors to search for content on the site, such as product guides and contact information. Key Attributes: Title, Description, URL.

Translation

Translation tables can be imported to map stable keys to different languages.

Data templates

Templates define exactly which data fields should be returned in product lists.

Add and remove visitor data

APIs exist to add and remove available data in Elevate related to a visitor.

Voyado Elevate application

The Voyado Elevate application provides a comprehensive set of features for managing and optimizing Elevate 4:

  • Dashboard
  • Exposure strategies
  • Boost (incl Audience promotion1)
  • Bury
  • Search reports
  • Synonyms
  • Product sets
  • Page merchandising
    • Pinning
    • Slices
    • Facets
    • Keywords
    • Tweak recommendations
  • Navigation tree management
  • User management
  • Email recommendations (Add-on feature)

Additional core functionalities

  • Ranked product listings: Products are ranked based on several factors, including query relevance, sales performance, product lifecycle analysis, and specific merchandising rules (e.g., boost, bury, pin).
  • Data enrichment: Identifies relevant product types and properties for each product.
  • Relevance through shopper behavioural data: Critical notifications sent by the retailer: Payment, Add to Cart, Click.
  • Built-in language and terminology database
  • Multilingual market support
    • A market typically refers to a specific geographical region where the collective user behavior is relevant2, and the retailer offers a similar assortment of products or services.
  • Engage integration
    • Cross product identification1

  1. Requires both VOYADO ENGAGE and VOYADO ELEVATE products 

  2. Relevant visitor behavior is shared within a market, regardless of locales 

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