3 Mistakes When Setting Up Product Recommendations

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In-house development. Writing an algorithm yourself is a difficult but tempting option. You know your customers better than anyone and can take into account all stages of the purchasing decision. However, this requires time, money and resources - talented programmers who are ready to take responsibility.

Pros : you can adjust the mechanics yourself at any time.
Cons : high cost, lengthy process, possible discrepancies with expectations.

Marketplace listing. Easier, but less effective — marketplaces already offer product recommendations.

Pros : fast implementation and simplicity.
Cons : the recommendations will also include competitors' products, which makes this more of an additional promotion channel than a full-fledged solution.

Using specialized services. The best option is to use ready-made list of netherlands cell phone number solutions. For example, in Carrot quest you can set up trigger communications in several channels at once based on customer data.

Pros : Quick script installation, use of machine learning, choice of a package that suits the price.
Cons : Clients do not get access to the algorithm.

Recommendations are a flexible tool, but there are a few things to avoid:

Offering inappropriate products. Don't show products that aren't related to the user's interests. For example, it's weird to offer a set of fishing hooks to a girl who's shopping for cosmetics and only looked at dresses and shoes.
Recommend overly expensive alternatives. Even if the customer is willing to spend a little more, you shouldn't offer products that are several times more expensive. The economy segment buyer will not switch to premium.
Don't use recommendations at all. Product recommendations are not only a way to increase sales, but also to increase loyalty. When you remind about related products, you show care for the customer, helping him not to forget important things for the main product.
Let's sum it up
Product recommendations are a proven and effective tool for building long-term relationships with customers and increasing sales.
They help new users get familiar with the assortment, and regular users find relevant products. Recommendations also increase the time spent on the site, which increases the likelihood of a purchase and an increase in the average check.
Most often, product recommendations are shown on the website, in the application and in email newsletters. But they can also be seen in push notifications, SMS and contextual advertising. Testing will help you find the best platform.
There are many types of recommendations: similar products, related products, popular products. It is important to experiment and choose the