Using personalised content to support high intent moments
Guide shoppers at the exact moment they are ready to act
Overview
High intent moments are the points in a shopper’s journey where motivation peaks and the likelihood of taking action increases. These moments often determine whether a visitor converts, hesitates, or abandons. Personalised content in Liva 7 helps you recognise these moments and respond with messages, recommendations, bundles, and guidance that match the shopper’s intent.
Supporting high intent moments is not about pushing harder. It is about removing friction, reinforcing confidence, and helping the shopper complete the action they already want to take. This article explains how to identify high intent signals and how to use personalised content across your storefront to support them in real time.confidence, and helping the shopper complete the action they already want to take. This article explains how to identify high intent signals and how to use Smart Content to support them in real time.
High intent moments are behaviours that indicate a shopper is close to making a decision.
Understanding high intent moments
High intent moments occur when a shopper shows clear signs of interest or readiness to act. These moments differ from casual browsing because the shopper is actively evaluating, comparing, or preparing to take the next step.
Typical high intent behaviours include:
- Returning to the same product multiple times
- Spending significant time on a product or collection page
- Scrolling deeply through product details
- Adding items to the cart
- Checking delivery or returns information
- Revisiting the store within a short timeframe
- Comparing similar products or variants
- Engaging with product media or reviews
These moments are powerful because the shopper is already motivated. Personalised content helps you support that motivation with timely, relevant guidance.
High intent moments are behaviours that show a shopper is moving closer to a purchase.
Identifying high intent signals in Liva 7
Liva 7 detects behavioural signals that indicate rising intent. These signals help the platform understand when a shopper is ready to act and when personalised content will be most effective.
Signals include:
- Time spent on key pages
- Scroll depth on product pages
- Product revisits within the same session
- Add to cart attempts
- Return visits within a short timeframe
- Category exploration patterns
- Engagement with product media
- Interaction with previous personalised content
These signals allow Liva 7 to adapt recommendations, Smart Content, and bundles in real time.
Signals help Liva 7 understand when a shopper is ready to act.
Choosing the right personalised content type
Different high intent moments call for different types of personalised content. Liva 7 gives you multiple tools to support shoppers at the right time.
Examples:
Smart Content
- Reassurance
- Delivery information
- Returns clarity
- Urgency or stock updates
Personalisation Widgets
- Complementary products
- Similar items
- Recently viewed items
- Best sellers in the category
Smart Bundles
- Value driven combinations
- Complementary add ons
- Multi buy incentives
Product Recommendations
- Behaviour based suggestions
- Similar items
- Frequently bought together
Choosing the right content type ensures your support feels natural and helpful.
Different high intent moments require different types of personalised content.
Crafting messages and recommendations that support high intent
Personalised content should reduce friction and increase confidence. It should feel like helpful guidance rather than interruption.
Effective approaches include:
For Smart Content
- Delivery reassurance
- Returns clarity
- Social proof
- Stock availability
- Key benefits
- Compatibility information
For Widgets and Recommendations
- Showing similar items when a shopper hesitates
- Highlighting complementary items when intent is strong
- Surfacing recently viewed items for returning visitors
For Smart Bundles
- Offering value without overwhelming
- Highlighting savings clearly
- Keeping bundles relevant to the product being viewed
Keep everything:
- Short
- Clear
- Helpful
- Action oriented
Personalised content should reduce friction and increase confidence.
Using offers and incentives carefully
Offers can be effective during high intent moments, but they should be used with intention. Incentives should enhance the shopper’s motivation, not replace it.
Examples of supportive incentives:
- Free shipping reminders
- Bundle savings
- Limited time offers
- Threshold nudges
- Loyalty benefits
- Multi buy savings
Use offers sparingly:
- Only when they add value
- Only when they match the moment
- Only when they feel natural to the shopper’s journey
Offers should support intent, not replace it.
Aligning personalised content with page context
Personalised content performs best when it matches the context of the page. Each page type has different intent levels and different needs.
Examples:
Product pages
- Reassurance
- Delivery information
- Returns clarity
- Social proof
- Complementary recommendations
- Smart Bundles
Collection pages
- Discovery support
- Category guidance
- Best sellers
- New arrivals
- Personalised picks
Cart pages
- Confidence building
- Final reassurance
- Threshold nudges
- Complementary add ons
Homepage
- Orientation
- Personalised recommendations
- Category shortcuts
- Seasonal highlights
Aligning your message with the page ensures it feels relevant and helpful.
Page context ensures your personalised content feels relevant.
Supporting returning shoppers with personalisation
Returning visitors often show stronger intent than first time visitors. Personalised content can recognise returning shoppers and adapt messaging and recommendations to their behaviour.
Examples:
- Referencing previously viewed items
- Highlighting new arrivals in their preferred category
- Reminding them of items they interacted with earlier
- Showing personalised recommendations
- Offering loyalty benefits
- Highlighting restocked items
- Surfacing saved or favourited items
Returning shoppers often need less persuasion and more reassurance.
Returning visitors often show stronger intent than first time visitors.
Measuring the impact of high intent personalisation
Use Liva 7 analytics to measure how your personalised content performs. Tracking performance helps you understand which messages, recommendations, and bundles drive action.
Metrics to monitor:
- Engagement rate
- Click through rate
- Conversion impact
- Session behaviour changes
- AOV impact
- Repeat visit behaviour
- Time to purchase
Look for patterns such as:
- Which messages perform best
- Which recommendations drive the strongest results
- Which bundles increase AOV
- Which pages produce the highest intent
- Which moments lead to the biggest uplift
Use these insights to refine your strategy over time.
Performance data shows which personalised content drives action.
Best practices for high intent personalised content
To keep your personalised content effective, follow a few simple principles.
Best practices:
- Keep messages short and focused
- Avoid clutter by limiting how many messages appear in a single session
- Respect shopper intent by only triggering content when it adds value
- Match the content to the page context
- Test variations to find the highest performing approach
- Use incentives sparingly
- Prioritise clarity and reassurance
- Review performance regularly and refine your approach
These principles help you create a clean, supportive experience that guides shoppers at the right moment.
Follow these principles to keep your personalised content effective.
