Why use product recommendations?
Nowadays, consumers expect a personalized shopping experience. With the Recommended Products flow, edrone uses Machine Learning to analyze customer purchase and browsing behavior, making product recommendations based on this behavior. This creates a more personalized experience and increases conversion chances, as customers are being presented with items that match their interests.
Important: For customers to receive personalized recommendations, they must have completed at least one of the following actions:
1️⃣ Viewed a product.
2️⃣ Added an item to the cart.
3️⃣ Completed a purchase.
It's important to highlight that recommendations are automatically generated by the system, meaning you can't manually select the recommended products. If you'd like to suggest specific products, explore other ready-to-use automation scenarios..
How to set up the Recommend scenario
Access Automations > Ready Flows > Recommended Products to start the setup.
Step 1: Adjust
1) Choose the number of messages you want to send (up to 3), triggering the following actions for each send:
1️⃣ After the customer views a product.
2️⃣ After adding an item to the cart.
3️⃣ After completing a purchase.
2) Set time intervals (days and hours) between sends to avoid excessive or intrusive messages.
Step 2: Design
On this section, you will design your email. Click here to learn how to use the new Drag 'n' Drop Editor.
NOTE: In order for this scenario to work, you will need to use the Recommend element ⭐. Other dynamic product recommendation elements will also be available, as well as any other visual element available by default on the Drag'n'Drop editor. You can also use other dynamic element like Products or Bestsellers.
Step 3: Review
Send a test email to ensure that the automation is set up correctly.
Step 4: Reports
Track the important metrics to assess the effectiveness of the automation, such as:
Revenue
Sends
Opens
Clicks
Orders with coupon
Filter the results by date, message, or channel to optimize your strategy and gain valuable insights into customer behavior.
Need more help?
If you have any further questions about the Recommend scenario, please do not hesitate to contact us at hello@edrone.me or via chat