Voyado Elevate

Best practices for product recommendations

Voyado Elevate offers multiple recommendation types that can be used across different parts of your site. Each type is designed for a specific purpose and works best in certain contexts. This guide provides practical suggestions on which recommendation types to use in different areas, helping you create a more relevant and effective shopping experience.

Different recommendation types serve different purposes depending on where the shopper is in their journey. Think in terms of:

  • Browsing and inspiration
  • Comparison and decision-making
  • Purchase and upsell

Matching recommendation types to these stages will improve both relevance and conversion.

Best practices - placement 

Landing and category pages

On landing pages and category pages, shoppers are typically browsing and exploring.

Use recommendation types that:

  • Inspire discovery
  • Highlight popular or relevant products
  • Help users navigate large assortments

Recommended types:

  • Top products
  • Personal
  • Newest products
  • Favorites

These types help surface what’s trending, what’s relevant for the individual shopper, and what’s new or worth exploring.

Product detail pages (PDP)

On product pages, shoppers are closer to making a decision. Use recommendation types that:

  • Help them compare alternatives
  • Suggest complementary products
  • Keep them engaged if the product isn’t right

Recommended types:

  • Alternatives
  • Upsell
  • Style with
  • More from series

These help reduce bounce rate, encourage exploration, and increase basket size.

Cart and checkout

At this stage, the shopper is ready to purchase. Use recommendation types that:

  • Add relevant items to the basket
  • Encourage quick decisions

Recommended types:

  • Cart
  • Add-to-cart recommendations

These are optimized for increasing average order value and supporting last-minute additions.

Use personalization where it adds value

Personalized recommendations work best when:

  • The shopper is identified
  • There is enough behavioral data available

Use:

  • Personal
  • Recently viewed
  • Favorites

These help shoppers continue their journey, reinforce preferences, and create a more tailored experience.

Other best practice principles 

Combine recommendation types carefully

You can use multiple recommendation lists on the same page, but:

  • Avoid showing too many lists at once
  • Make sure each list has a clear purpose
  • Avoid overlapping recommendation types with the same intent
Elevate automatically handles deduplication, so the same product is not shown multiple times.

Let Elevate do the optimization

Recommendation types are designed to:

  • Adapt to real-time behavior
  • Reflect trends and demand
  • Update automatically
Avoid trying to manually control the outcome unless there is a clear business reason. Overriding too much can reduce performance.

Learn more

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