Price alert

Data about the pages visited by clients is a huge source of information and potential which can be used in personalizing messages that we address to clients. When a customer visits a website to view a product, Synerise gathers information about the circumstances and details of the visit. For example, the price of a product when the user viewed it.

Price is often a decisive factor in the transaction, so if it is lower, it is worth informing the customer about it. This feature can improve the conversion rates significantly, especially for customers who leave the page because the product price was too high for them. Information about decreasing the price can be a factor which can lead them to conversion.

Example of use - Home appliances industry

Challenge

A client from the Home Appliances industry wanted to interest their clients in the products they browsed earlier but did not buy. At the same time, they wanted to inform clients about price reductions. For this purpose, they decided to send customers a personalized offer featuring discounted products that the user previously viewed but for some reason did not purchase. To make the offer more attractive, the e-mail contained only those products with a price that had been reduced by at least 3% since the user viewed them.

We created an automation which sent emails to people who met these specific conditions. This automation started periodically, every 24 hours for all users who had recently viewed (within 14 days) a product.

If all the campaign conditions were met, an e-mail was sent to the customer with the products, along with information about their old and new prices. Of course, all the products they had already bought were excluded.

Screenshot presenting price alert

Results

  • 27% OR
  • 6,5% CTR

Requirements

To use this case, you have to meet a few conditions:

  • Synerise tracker implemented on the website
  • OG tags
  • Transaction tracking
  • Integrated email account

How to do it

  1. Prepare three aggregates that you will use to implement the search logic for discounted products in the email template.

    First aggregate

    ID of products recently viewed by the user

    Screenshot presenting price alerts

    Second aggregate

    Prices of products recently viewed by the user

    Screenshot presenting price alerts

    Third aggregate

    ID of products purchased by the user

    Screenshot presenting price alerts

  2. Prepare an email template with a search mechanism for discounted products.

    Use the aggregates created for this purpose and compare the prices of the products when the user viewed them (aggregate no. 2) with the current prices that you can download from the product catalog.

    In addition, exclude products that you have already purchased (aggregate no. 3)

    The whole mechanism should be based on Jinjava notation.

  3. Create a segment of people who have visited a product page in the last 14 days - indicate event page.visit, where the OG tag retailer part number exists (retailer_part_no is true).

  4. Create an automation that will send emails with discounted products:

  • Use trigger repeat to start every day at the specified time.
  • In the customer filter, use the previously created segment.
  • As an action, use a previously prepared email template.

This use case belongs to the following categories:

Challenges:

Features:

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