Product recommendations is an efficient and proven way to boost your WooCommerce sales.
The downside is that it could be a very time-consuming activity to bundle products manually, as well as the fact that it is not always the logical “pairing” that will generate the most sales.
The way forward is to utilize AI (Artificial Intelligence) and let analytical data models do the work for you.
Meet Engage, an AI-powered product recommendation engine. The type of recommendation vary a bit depending on the page your visitor is viewing. This is mainly because the recommendation model needs input to function properly (e.g. the first time a new visitor lands on your homepage, the model doesn’t know anything about their behavior and therefore it can’t provide recommendations.
But as the user interacts with the website the model picks up on behavioral patterns and is then able to provide better recommendations.
AOV a.k.a. Average Order Value is one of the most important ecommerce metrics. It describes the average order total in a given period of time. If this year your WooCommerce website converted 150 orders and made $30,000 in revenue, your AOV for this year is $30,000/150 = $200 (i.e. on average, you can expect each order to be $200).
If you don’t know what your WooCommerce store AOV is, immediately go to WordPress Dashboard > WooCommerce > Reports > Orders > Sales by Date > Year and divide “net sales in this period” by the number of “orders placed”. But be careful – those reports are sometimes not correct (I know WooCommerce is working on this at the moment). Mine is giving me AOV = €2… and I know that’s not right.