Behavioural data

Personalization trends for 2020 (Part 1)

At Recommend, we strongly believe in personalization as a key part of any marketing strategy. We have been helping our clients to get closer and closer to their users’ thanks to our dynamic and self-learning platform, powered by artificial intelligence. 

Hyper-personalization will undoubtedly be one of the great trends of 2020. Statistics show that 63% of consumers are highly annoyed with generic advertising blasts, 80% are more likely to do business with a company if it offers personalized experiences, and 90% claim they find personalisation appealing.

But what else can we expect from personalization this year? Take a look: Read more

The impact of behavioural data

Digital advertising generates annual revenues of 41.9 billion euros in Europe. A growing percentage of these revenues and the underlying growth are attributable to the use of behavioural information. Data is fundamentally transforming the way brands implement their digital marketing strategies. Read more

Personalization can generate up to 20% ROI

The implementation of personalization guarantees positive results in any marketing strategy. However, its use needs a qualitative analysis of data and the behaviour of consumers who visit your website.

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Do you know who your website visitors are?

It seems an obvious question. However, according to a report published by WBR and OneMarket, 64% of retailers said they were not able to identify the majority of their website’s visitors, while 57% said they did not use CRM platforms. This means, in most cases, their customer segmentation is not accurate.

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What can you learn from your customer journey?

Imagine that you are planning a trip with your family, and this is the first time that you go to that place. You probably do research first, to know more about the area and find the best route. Every decision made during your trip is a touchpoint; every stop, detour or exit is a call to action towards your destination.

There are a few learning lessons if you apply similar logic to a customer journey. From the time the customer decides to visit your site to the moment when it adds a product to the shopping cart. There are behaviours, patterns and data that you can use to your advantage.

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