Creating Bundles based on past purchase behaviour
How personalised product sets help repeat customers discover relevant add-ons, refills, and complementary items
Overview
Bundles based on past purchase behaviour help returning shoppers find products that feel naturally connected to what they already own or have previously bought.
These bundles support replenishment, upgrades, and complementary purchases, making it easier for loyal customers to continue their journey with your brand.
Why past purchase behaviour improves bundling
When bundles reflect what the shopper has already purchased, they feel more relevant and personalised. This reduces decision friction and increases the likelihood of multi-item purchases.
Why it works
- It helps shoppers discover add-ons or accessories
- It supports replenishment for consumable products
- It encourages upgrades or seasonal refreshes
- It builds trust through personalised recommendations
- It increases perceived value and convenience
Behaviour-based bundles are especially effective for categories with natural follow-up needs, such as beauty, home, tech, and lifestyle.
Shoppers are more likely to buy again when the bundle feels tailored to their needs.
How Liva 7 builds bundles from purchase history
Liva 7 uses historical data and behavioural signals to generate bundles that match each shopper's previous purchases and browsing patterns.
What Liva 7 considers
- Products previously purchased by the shopper
- Items frequently bought together across your store
- Category-level compatibility and relationships
- Seasonal or campaign-specific relevance
- Shopper browsing and viewing history
Bundles can be created manually or generated using AI, then refined using templates, rules, and discount settings.
AI-generated bundles can be adjusted to match your goals.
Where behaviour-based bundles perform best
Placement helps ensure that returning shoppers see bundles at the right moment in their journey.
High-performing placements
- Homepage: show bundles based on previous purchases
- Product pages: surface add-ons or upgrades
- Cart page: offer complementary items before checkout
- Post-purchase pages: suggest bundles for next time
Cart and product page placements deliver the strongest performance for repeat shoppers.
Effective strategies for behaviour-based bundles
Different strategies can be used depending on the shopper's history and the type of products involved.
- Replenishment bundles for consumables
- Upgrade bundles for seasonal or premium items
- Add-on bundles for accessories or extras
- Lifestyle bundles based on past category interest
- Campaign bundles aligned with previous purchases
- Smart Content banners paired with bundle offers
These strategies help shoppers feel recognised and supported in their ongoing journey.
Bundles that reflect real shopper behaviour outperform generic sets.
What results merchants typically see
Bundles based on past purchase behaviour consistently improve repeat purchase rates and average order value.
Typical outcomes
- Higher multi-item purchases from returning shoppers
- Increased add-to-cart actions
- Stronger engagement with personalised content
- Reduced bounce rates
- Higher conversion rates from loyalty segments
These bundles help turn one-time buyers into repeat customers.
Personalised bundles build loyalty and increase lifetime value.
Quick checklist
- Bundles are created using past purchase data
- Product selection matches shopper history
- Display rules support returning shopper journeys
- Smart Bundle block is added to relevant templates
- Performance is reviewed regularly for optimisation
Use this checklist to ensure your behaviour-based bundles support repeat purchases effectively.
