According to numerous studies, when shopping online, customers would rather give up their private information in exchange for receiving relevant individual suggestions from e-commerce websites.
Correctly placed product recommendations allow for higher conversions, improved brand perception, increase an average order value and raise add to cart rate.
There are companies that focus on creating “Product Recommendation Engines” (PRE), are tools that once added to the website help in automatising this process.
PRE’s, through a combination of machine learning combined and manual curation, are able to bring third-party insights, analyse real-time visitor behaviour & historical info among other data sets in real time.
These tools have most value when they deliver an Omnichannel experience:
User sees a product on your website – later receives a reminder email – sees discounts on social media – gets a push notification from your app.
Here are some of the top Product Recommendation Engines:
