TABLE OF CONTENTS


Overview

This model recommends products that are most popular on the website based on the specified customer events. 


You can configure this model to create various types of  recommendation strategies by

  • Assigning varied importance to customer event(s) such as Add to wishlist, Pageviews, Buy, and Add to Cart. 

  • Specifying attributes to identify the most popular products in addition to customer event(s)


Configuration Examples


Example 1:

Sample model configuration 

Lookback period: 

7 days

Customer Events:

Assign maximum importance to Buy

Assign low importance to PageViews

Priority to products recently engaged:

Yes

Result:

Recommend products that were bought most number of times in the last 7 days with products bought the most recent appearing first.


Example 2:


Sample model configuration 

Lookback period: 

7 days, 

Customer Events: 

Buy and assign maximum importance

PageViews and assign low importance

Priority to products recently engaged:

No

Attributes to determine if additional products should be added to the results

Price


Result:

Recommend products that were bought most number of times in the last 7 days with no priority given to the buy event's recency and also include products in the price range of the all-time most bought products. 


Example 3


Sample model configuration 

Lookback period: 

7 days, 

Customer Events: 

Buy assign maximum importance

PageViews assign low importance

Priority to products recently engaged:

Yes

Business Rule

Price > $30


Result:

Recommend products priced greater than $30 that was bought more times in the last 7 days giving higher priority to products bought most recently.



  1. Choose Assets > Strategies from the top navigation bar.

  2. Click New Strategy.

  3. Choose Journey-aware  > Trending Products. The Manage Strategy page is displayed.

  4. Click to configure model parameters. 

  5. Edit the following model parameters:

            

Parameter

Description

Lookback Period

The time period lapsed from the current date that is used to identify the historical data. The default value is 7 days.

Customer Event

The type of interaction engaged by the customer. 

  • Click + to add a customer event and choose the event from the drop-down.

  • Drag the slider to indicate the importance of the customer event.


  1. Indicate whether you want to give high priority to products that were recently engaged with.

  2. Choose product attributes from the drop-down to identify if additional products should be included in the recommendation. The default attribute is the brand.

Note: Click Reset to Default to restore model parameters to default values.
  1. Indicate whether you want to apply 1:1 affinity-based personalization on the model.

Note: If you choose yes, the configured model parameters will be used as a starting point to deliver product recommendations, and thereafter the recommendations will be based on individual customer's affinities

.

  1. If you optionally want to include business rules, click Add a new business rule. 

  2. Click Done.