Skip to main content
The Pick-Up Where You Left Off algorithm seamlessly resumes a shopper’s journey by surfacing products or content based on their most recent interactions. Ideal for returning visitors, it reduces friction by guiding users back to items they viewed, added to cart, or engaged with—right at the moment they return.
Recommended Placements

Homepage Banner: Welcome back carousel showcasing “Continue Shopping” recommendations.

Category Pages: Highlight items the user was previously browsing within that category.

Product Pages: Remind shoppers of the exact product or similar alternatives they last viewed.

Cart Page: Surface items they considered before adding current items to cart.

​
How It Works

  1. Interaction Tracking
    Captures a user’s page views, clicks, and session events (e.g., product views, cart additions).
  2. State Persistence
    Stores the last N interactions (configurable) in a session or user profile.
  3. Contextual Resume
    When the user returns (same device or logged-in), retrieves those interactions and recommends items “where they left off.”

​
Supported Rule Types

  • Home Page
  • Category
  • Product
  • Cart
  • Search

​
When to Use

  • Re-Engagement Campaigns
    Bring back lapsed users by reminding them of products they showed interest in.
  • Complex Browsing Sessions
    For sites with deep catalogs, help users pick up long discovery journeys without restart frustration.
  • High-Value Product Consideration
    Aid decision-making on expensive or research-intensive categories by resurfacing last-viewed items.

​
Example

A shopper browses several laptop models but doesn’t purchase:
  1. Upon returning, the Pick-Up Where You Left Off widget on the Homepage displays the last three laptops they viewed.
  2. On a Category page, it highlights those models alongside newly released variants.
  3. If they revisit a Product page, it shows the exact model they left, plus closely related accessories.
By seamlessly bridging sessions, PWYLO drives deeper engagement and conversion, ensuring no discovery path goes cold.