Help shoppers find what matters by personalising collections, navigation, and browsing paths in real time.
What the discovery moment represents
The Discovery Moment begins the second a shopper starts exploring your store - scrolling the homepage, opening collections, filtering products, or browsing categories. It is the phase where curiosity turns into intent. This moment determines whether a visitor finds something they want or leaves without ever reaching a product page.
Discovery is where most Shopify stores lose momentum. Shoppers get overwhelmed, lost, or bored. Liva 7 fixes this by shaping the browsing experience around each visitor's interests and behaviour.
Why discovery is a critical revenue moment
Most stores treat browsing as a passive experience:
- Every shopper sees the same collections
- Product ordering is static
- No guidance toward relevant categories
- No reminders of previously viewed items
- No personalisation based on browsing history
This leads to:
- Low collection engagement
- Shoppers bouncing before reaching a product page
- Visitors scrolling without direction
- High-intent shoppers not finding what they want
- Wasted homepage traffic
Discovery is where you turn 'just looking' into 'I want this.'
How Liva 7 personalises the discovery moment
Liva 7 uses behavioural signals, browsing patterns, and micro segments to adapt collection pages and browsing paths in real time.
Personalised collection recommendations
Liva 7 automatically adjusts:
- Which collections appear
- The order of collections
- The products shown within each collection
- The messaging above collections
Examples:
- 'Recommended for you based on your browsing'
- 'New in the category you viewed last time'
- 'Trending in your favourite collection'
Dynamic product rows during browsing
As shoppers explore, Liva 7 inserts personalised rows such as:
- Recently viewed
- Inspired by your browsing
- Similar to items you explored
- Trending in your preferred category
These rows keep shoppers moving deeper into the store.
Behaviour-based navigation
Liva 7 can highlight:
- Categories the shopper has shown interest in
- Products similar to their browsing history
- New arrivals in their favourite category
This reduces friction and increases product discovery.
Real examples of discovery personalisation
Example 1: category-focused shopper
A visitor who viewed multiple 'Activewear' items sees:
- 'New in Activewear'
- 'Trending in Activewear'
- 'Inspired by your browsing' rows
Example 2: returning visitor
A shopper who previously browsed 'Home Decor' sees:
- 'Welcome back! New decor pieces you’ll love'
- 'Recently viewed items'
- 'Recommended for you'
Example 3: high-intent browser
A visitor who viewed 3-5 similar products sees:
- 'Similar to what you viewed'
- 'Complete your look'
- 'People also bought'
These nudges guide shoppers toward the right products faster.
Impact on revenue
Optimising the Discovery Moment leads to measurable improvements:
- +20-35% increase in collection engagement
- +15-25% increase in product page visits
- +10-18% increase in add to cart rate
- Lower bounce rate from collection pages
Discovery is the bridge between curiosity and consideration.
Liva 7 features used in this moment
To personalise Discovery, merchants typically use:
- Product Recommendations Block on collection pages
- Product Recommendations Block on homepage
- Personalisation Widgets (Performance Tab)
- Segments (Category interest, returning visitor, high intent)
- Page Strategies for Collection Pages
These tools ensure every browsing path feels tailored.
How to set up discovery personalisation in Liva 7
Step 1 - add Product Recs block on collection page
Place this block on all collection pages. It auto populates with personalised product rows.
Step 2 - add Personalisation Widgets for browsing nudges
Examples:
- 'New in your favourite category'
- 'Inspired by your browsing'
- 'Recently viewed items'
Step 3 - configure collection page strategies
Choose what Liva 7 should prioritise:
- Personalised picks
- Bestsellers
- New arrivals
- Category specific recommendations
Step 4 - enable category-based segments
This allows Liva 7 to identify what shoppers are interested in.
Best practices for merchants
- Keep collection pages clean - avoid overwhelming shoppers
- Use personalised rows to break up long product grids
- Highlight new arrivals for returning visitors
- Use 'Recently viewed' to reduce decision fatigue
- Avoid showing too many unrelated categories
- Match collection banners to browsing behaviour
Example scenarios
Scenario 1: first time browser
- Trending products
- Bestsellers
- 'Start exploring' categories
Scenario 2: returning browser
- Recently viewed
- New arrivals in their favourite category
- Personalised picks
Scenario 3: high-intent shopper
- Similar items
- Complementary products
- 'People also bought'
Each scenario increases the likelihood of reaching a product page.
