Machine Learning

Personalization trends for 2020 (Part 2)

Since its implementation, personalization has proven to be a strategy with tangible results. From a positive impact on the commitment and retention of a brand’s customers to profits and revenue. Studies show that more than 80% of consumers want personalized services and will continue to interact with a brand if they feel that it responds to their needs.

In addition to AI, behavioural data, smart segmentation, push notifications and interactive content to improve your strategy in 2020, let’s see what other customization trends are emerging for next year: Read more

How to make product recommendations correctly

To have a personalization platform, such as Recommend, to support and embrace your eCommerce activities is a good start. But, understanding the data, and how to use it, is essential to get the most out of product recommendations. Read more

Predictive fashion: How to use AI in your eCommerce strategy

Artificial intelligence has generated an entirely new trend style, and from which eCommerce has taken advantage, predictive fashion. Two years ago, researchers at the University of California and Adobe outlined a way for AI to learn a person’s style. Later on, with this information, create computer-generated images of accessories that match that style.

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What can we learn about personalisation from luxury brands?

According to McKinsey research, online luxury sales will triple by 2025, and 80% will be digitally influenced. If you have ever visited a luxury shop, you may have had an experience with a personal buyer or tried products before making a final decision.

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Brand advocates: Win them with personalisation

Personalisation is not only an integral part of any marketing strategy but also a key factor when it comes to brand advocates. The personalisation and recommendations must be related to the customer journey. When the brand knows its customers and speaks to them as individuals, they will return the favour by engaging with the brand and purchasing their products.

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