Product Recommendation Engines

Incorporate promotional content in emails to match customer preferences.

Overview

You can send out product recommendations in your customer emails based on the opt-in preferences indicated by the customer.

Promotional content such as product recommendations should only be sent to users that have opted-in to receive such communications. You will have to provide us with this information.

Product recommendations in emails must be customer-specific. parcelLab is not responsible for the content of the emails and does not assume any guarantee.

Configuring Product Recommendation Engines

The following sections describe the configuration required for including product recommendation engines in email communication.

You can also include product recommendations using the Campaign Manager functionality and display recommended products in emails, on your Order Status page, and in the Returns Portal with parcelLab’s product recommendation engine. For further information, see how to configure parcelLab product recommendations.

Customer Requirements

To integrate promotional content from product recommendation engines in email communication, you need to provide the following general information:

• The list of all users that have opted-in to receive product recommendations and the corresponding recipient data, including the email address.

• The product recommendation engine that you want to use.

• In which emails to display the promotional content (for example: order delivered emails).

Product Recommendation Engine Requirements

The following sections describe the information required to implement specific product recommendation engines.

Emarsys Predict

Product recommendations from Emarsys use Predict, which can be included into the relevant email templates by parcelLab.

To integrate links to product recommendations from Emarsys in email communication, you need to provide the following information to parcelLab:

• Set up a recurring .csv export to our server on the Emarsys platform in order for us to get the product data.

• Your Merchant ID and ID of the widget.

• A daily export file with the predictUserID and predictSecret of all customers.

You can download export files from your Emarsys account that contain the predictUserID and predictSecret, as well as the name and email address of the customer. It is also important to get the opt-in/opt-out information for customers.

• A HTML code snippet so it can be integrated in email templates.

The HTML is shown, which can be easily integrated into messages/templates.

<a href="http://emarsys.sampleshop.com/predict/recommender/<some-hash>/<widget-id>/1.html?ci=<order-no>" target="_blank">
  <img src="http://emarsys.sampleshop.com/predict/recommender/<some-hash>/<widget-id>/1.jpg?ci=<order-no>" width="200" height="260">
</a>
<a href="http://emarsys.sampleshop.com/predict/recommender/<some-hash>/<widget-id>/2.html?ci=<order-no>" target="_blank">
  <img src="http://emarsys.sampleshop.com/predict/recommender/<some-hash>/<widget-id>/2.jpg?ci=<order-no>" width="200" height="260">
</a>

For more information about the Emarsys Predict product recommendation engine, refer to the Emarsys official documentation.

Nosto

To integrate links to product recommendations from Nosto in email communication, you need to provide a HTML code snippet so it can be integrated in email templates by parcelLab.

The type of recommendation and how it looks in the messages is completely set up in Nosto's platform. The HTML code snippet is generated based on the chosen parameters and this code is included in our templates.

For more information about the Nosto product recommendation engine, refer to the Nosto official documentation.

Other Supported Product Recommendation Engines

The following product recommendation engines are also supported:

• Certona

• Dynamic Yield

For more information on the scope and requirements for implementing these product recommendation engines, please contact your parcelLab representative.

Implementation Process

When parcelLab has the required information, the setup process can begin for the selected product recommendation engine. The recommendations are added to emails in the form of a link, which when added into the template of emails displays the recommendations.

For example:

<a href="http://tracking.yourshop.com/predict/recommender/1B337EE8F5237573/x7js48/1.html?eh=$pers_3063$&amp;es=$pers_7025$" target="_blank"><img src="http://tracking.yourshop.com/predict/recommender/1B337EE8F5237573/x7js48/1.jpg?eh=$pers_3063$&amp;es=$pers_7025$" width="200" height="260"></a>