Improving conversion for returning shoppers with behaviour‑based Widgets
How personalised widgets help returning shoppers pick up where they left off and convert faster
Overview
Returning shoppers behave differently from first‑time visitors. They arrive with context, preferences, and intent shaped by their previous visits. Behaviour‑based widgets help these shoppers resume their journey instantly by showing products they viewed before, items related to their past behaviour, and recommendations that reflect their evolving interests.
This reduces friction, shortens the path to purchase, and increases conversion rates across multiple pages.
Why returning shoppers convert differently
Returning shoppers often revisit your store with a clearer purpose. They may be comparing products, checking availability, or reconsidering an item they viewed previously. However, without personalised support, they may struggle to find where they left off.
Common behaviours of returning shoppers
- Revisiting products they viewed earlier
- Comparing similar items across multiple visits
- Looking for alternatives to a product they previously considered
- Returning to complete a purchase they postponed
- Browsing more efficiently than first‑time visitors
Behaviour‑based widgets help reconnect these shoppers with their previous journey.
Returning shoppers often convert at higher rates when shown relevant reminders.
How Liva 7 supports returning shoppers
Liva 7 uses behavioural signals to understand what a returning shopper is likely to be interested in. This includes:
- Recently viewed products
- Products similar to previously viewed items
- Items related to past purchases
- Category‑level browsing patterns
- Engagement with previous recommendations
These signals allow Liva 7 to surface highly relevant products that feel familiar and timely.
Behaviour‑based widgets adapt automatically as the shopper continues browsing.
Where behaviour‑based widgets perform best
Returning shoppers can appear anywhere on your storefront, so behaviour‑based widgets work effectively across multiple page types.
Product pages
- Show alternatives to previously viewed items
- Highlight products the shopper compared earlier
Helps shoppers quickly resume their evaluation.
Homepage
- Display recently viewed items
- Surface personalised picks based on past behaviour
Ideal for returning shoppers who land directly on the homepage.
Collection pages
- Highlight products related to the shopper’s preferred categories
Helps narrow down large collections.
Search results
- Show personalised suggestions when search terms are broad
Useful when returning shoppers search for general categories.
What results merchants typically see
Behaviour‑based widgets often deliver strong conversion improvements because they reduce the effort required for returning shoppers to find what they want.
Typical outcomes
- Higher click‑through rates
- Increased add‑to‑cart actions
- Faster decision-making
- Reduced bounce rates
- Higher overall conversion rates
Returning shoppers are already warm leads, and personalised guidance helps them complete their journey.
Returning shoppers often convert at 2-3x the rate of new visitors when shown relevant content.
Quick checklist
- Behaviour‑based widgets are added for key page types
- Recently viewed or related items are visible above the fold
- Widget strategies match returning shopper behaviour
- Placement supports quick decision-making
- Performance is reviewed regularly for optimisation
Use this checklist to ensure your behaviour‑based widgets support returning shoppers effectively.
