Using Product Recommendations to reduce decision friction
How personalised recommendations help shoppers choose faster and convert more consistently
Overview
Shoppers often browse multiple products before deciding what to buy. This can lead to hesitation, comparison fatigue, or abandoning the page altogether. Product recommendations help reduce this friction by showing relevant alternatives and complements at the exact moment a shopper is evaluating a product.
When the right options appear at the right time, shoppers feel more confident and are more likely to continue their journey.
Why decision friction happens
Decision friction occurs when shoppers struggle to choose between similar products or cannot find the right fit. Common causes include:
- Too many similar options
- Unclear differences between products
- Lack of confidence in the product they are viewing
- Difficulty finding alternatives that match their needs
- Limited product discovery on mobile
Personalised recommendations help remove these barriers by guiding shoppers toward products that better match their intent.
Decision friction is most common on product pages with large or complex catalogues.
How Liva 7 reduces friction with personalised recommendations
Liva 7 uses real-time behaviour signals to understand what a shopper is looking for. It then displays relevant products that help them compare, evaluate, and choose more confidently.
Examples of how this works
- Showing similar items when a shopper views a product that may not be the best fit
- Highlighting alternatives with different price points or features
- Displaying complementary items that complete the purchase
- Surfacing trending or highly rated products to build trust
These recommendations help shoppers feel supported rather than overwhelmed.
Personalised recommendations adapt automatically as the shopper browses.
Where to place recommendations for maximum impact
Placement plays a major role in reducing decision friction. The most effective positions are:
- Directly below the product details
- Just above or below the add-to-cart button
- Beneath product images on mobile
- After product descriptions for long-form pages
These placements ensure recommendations appear naturally within the decision-making flow.
If engagement is low, try moving the block higher on the page.
What results merchants typically see
When recommendations are placed correctly and aligned with shopper behaviour, merchants often see:
- Higher click-through rates
- Increased add-to-cart actions
- Reduced product page bounce rates
- More confident purchase decisions
- Higher conversion rates overall
These improvements come from helping shoppers find the right product faster.
Even small improvements in product page engagement can significantly impact conversion.
Quick checklist
- Recommendations are added to the product page template
- The block is placed near key decision points
- The widget strategy matches your catalogue size
- The content is relevant to the product being viewed
- Performance is reviewed regularly for optimisation
Use this checklist to ensure your recommendations are set up for success.
