Personalise every product page to increase confidence, reduce hesitation, and move shoppers closer to buying.
What the consideration moment represents
The Consideration Moment begins the instant a shopper lands on a product page. This is where they evaluate whether the product is right for them - its value, fit, relevance, and alternatives. It is the most emotionally charged moment in the entire shopping journey, and also the most fragile.
A shopper can be seconds away from adding to cart... or seconds away from leaving forever.
Liva 7 strengthens this moment by personalising the product page with bundles, complementary items, social proof, and behaviour-based recommendations that increase confidence and reduce decision fatigue.
Why the consideration moment is critical
Most Shopify product pages are static:
- The same recommendations for every visitor
- No awareness of what the shopper viewed before
- No complementary products
- No bundles
- No personalisation based on browsing history
- No reminders of recently viewed items
This creates friction:
- Shoppers hesitate
- They compare products elsewhere
- They lose momentum
- They abandon the page
- They never reach the add to cart moment
The Consideration Moment is where you turn interest into intent.
How Liva 7 personalises the consideration moment
Liva 7 adapts the product page in real time using browsing behaviour, product relationships, and AI-driven similarity models.
Personalised product recommendations
Liva 7 automatically displays:
- Inspired by your browsing
- Similar items
- People also bought
- Recently viewed
- Recommended for you
These rows help shoppers compare, explore, and validate their choice.
AI-generated bundles
Bundles increase AOV and reduce hesitation by showing:
- Frequently bought together
- Complete the look
- Complementary items
- Add-on accessories
Bundles are generated using purchase patterns, co-occurrence data, and product similarity.
Behaviour-based messaging
Liva 7 can show:
- 'Back in stock' alerts
- 'New arrival in your favourite category'
- 'You viewed this last time'
- 'Only a few left' (if enabled)
These micro nudges increase urgency and confidence.
Real examples of consideration personalisation
Example 1: high-intent shopper
A visitor who viewed multiple similar products sees:
- 'Similar to what you viewed'
- 'People also bought'
- 'Complete the look' bundle
Example 2: returning visitor
A shopper who viewed the product previously sees:
- 'Welcome back! Still thinking about this item?'
- 'Recently viewed'
- 'Recommended for you'
Example 3: accessory-driven product
A shopper viewing a camera sees:
- Lens bundles
- Tripod add-ons
- Memory card recommendations
These adjustments reduce friction and increase add to cart rate.
Impact on revenue
Optimising the Consideration Moment leads to measurable improvements:
- +20-30% increase in add to cart rate
- +15-25% increase in product page engagement
- +10-18% increase in AOV from bundles
- Lower product page bounce rate
This moment is where shoppers decide whether to commit or leave.
Liva 7 features used in this moment
To personalise the Consideration Moment, merchants typically use:
- Product Recommendations Block
- Smart Bundle Block
- Personalisation Widgets (Performance Tab)
- Segments (High intent, returning visitor, category interest)
- Page Strategies for Product Pages
These tools work together to create a product page that adapts to each shopper.
How to set up consideration personalisation in Liva 7
Step 1 - add Product Recommendations Block
Place this block below the product description. It auto populates with personalised product rows.
Step 2 - add Smart Bundle Block
Place this block below the main product images. It shows bundles and complementary items.
Step 3 - create Personalisation Widgets for PDP nudges
Examples:
- 'You viewed this last time'
- 'Only a few left'
- 'Complete your look'
Step 4 - configure product page strategies
Choose what Liva 7 should prioritise:
- Similar items
- Complementary items
- Frequently bought together
- Recently viewed
Step 5 - enable high-intent segments
This allows Liva 7 to identify shoppers who are close to purchasing.
Best practices for merchants
- Keep the product page clean - avoid overwhelming shoppers
- Use bundles to increase AOV without pressure
- Place recommendations below the fold to avoid distraction
- Use 'Recently viewed' to reduce decision fatigue
- Highlight complementary items for accessory-driven products
- Avoid showing unrelated categories on PDP
Example scenarios
Scenario 1: first time viewer
- Similar items
- Bestsellers in the category
Scenario 2: returning viewer
- Recently viewed
- 'Still thinking about this?'
- Complementary items
Scenario 3: high-intent shopper
- Frequently bought together
- Complete the look
- Add-on accessories
Each scenario increases the likelihood of adding to cart.
