Improving Collection page navigation with personalised picks
How tailored suggestions help shoppers find relevant products faster and reduce browsing fatigue
Overview
Collection pages can be overwhelming, especially when they contain a large number of products. Shoppers often scroll without a clear direction, compare multiple items, or leave the page if they cannot quickly find something that matches their needs.
Personalised picks help guide shoppers through these pages by surfacing products that align with their interests, behaviour, and browsing patterns. This reduces friction, improves product discovery, and increases the likelihood that shoppers will continue exploring.
Why collection pages need personalisation
Collection pages are designed to help shoppers browse a category, but without personalisation, they can feel generic and difficult to navigate. Shoppers may struggle to identify which products are most relevant to them, especially in categories with many similar items.
Common challenges on collection pages
- Too many products with minimal differentiation
- Shoppers scrolling without finding something relevant
- Difficulty comparing items within the category
- High bounce rates from overwhelmed visitors
- Returning shoppers seeing the same default order every time
Personalised picks help reduce these challenges by giving shoppers a curated starting point within the collection.
Personalisation helps shoppers avoid endless scrolling and decision fatigue.
How Liva 7 enhances collection page navigation
Liva 7 uses behavioural signals and catalogue insights to personalise product suggestions within collection pages. These suggestions adapt in real time as the shopper browses.
What Liva 7 considers
- Products the shopper has viewed previously
- Category‑level browsing patterns
- Items frequently paired with products in the collection
- Trending or high‑performing products within the category
- Seasonal or campaign‑specific relevance
This ensures that personalised picks feel natural and aligned with the shopper’s intent.
Liva 7 adapts suggestions as the shopper interacts with the collection.
Where personalised picks perform best on collection pages
Placement plays a major role in helping shoppers navigate large collections. Personalised picks should appear where they can influence browsing behaviour without disrupting the natural flow of the page.
High‑performing placements
- Near the top of the collection, above the product grid
- Mid‑page as a discovery row for deeper engagement
- Beneath filters or sorting options
- Above the fold on mobile for quick access
These placements help shoppers find relevant products early, reducing the need for endless scrolling.
Early placement increases engagement and helps shoppers find what they want faster.
Effective strategies for collection‑level personalisation
Different strategies can be used depending on the category, season, and shopper behaviour.
- Personalised picks based on recent browsing
- Category‑specific recommendations
- Trending items within the collection
- Bestsellers that build trust and familiarity
- Complementary items related to the shopper’s previous views
- Seasonal or campaign‑aligned suggestions
These strategies help shoppers discover products that match their interests and reduce the effort required to navigate large collections.
Combining personalised and category‑level content often delivers the strongest results.
What results merchants typically see
Personalised picks on collection pages often deliver strong improvements in product discovery and engagement.
Typical outcomes
- Higher click‑through rates within collections
- More product views per session
- Longer browsing sessions
- Increased add‑to‑cart actions
- Reduced bounce rates
- Higher conversion rates from category‑level traffic
When shoppers find relevant products quickly, they are more likely to continue exploring and move toward a purchase.
Collection‑level personalisation is especially effective for large or complex catalogues.
Quick checklist
- Personalised picks are placed near the top of collection pages
- Strategies match category behaviour and seasonal goals
- Content feels relevant and fresh
- Mobile placement supports quick discovery
- Performance is reviewed regularly for optimisation
Use this checklist to ensure your collection page personalisation supports product discovery effectively.
