Personalization

Highly stylized displays, prestigious high street locations, exclusive experiences, up close and personal sales assistance… the „established norms” of the luxury goods industry simply don’t fit into a post-pandemic world. And yet, after a challenging time in early 2020, many luxury brands are now embracing ecommerce as the first touchpoint for customers in their digital marketing strategies. They are finding ways to effectively communicate brand value in the digital space in the same way as they do in the offline world and are starting to replicate the personalized, curated experiences that buyers expect.

Have you ever downloaded the data Facebook has on you? Or Google? The sheer breadth of data collection has 86% of consumers worried, and this has led to a number of users leaving data-hungry social media platforms. It has also forced organizations like Google to do some soul-searching and adjust their approach to user data, notably by retiring third-party cookies.

Whether it’s Google searches, site analytics, or device usage statistics, we collectively create 2.5 billion gigabytes of data every single day. By adopting a data-driven approach, companies can make better decisions, build deeper connections with their customers, and build better products.

However, the sheer volume of information can be disorientating, and it is easy to get lost in the noise. Fortunately, you’re not alone. In this article, we’ll be your guide to the world of data-driven strategies, and help you navigate your way through these deep waters.

Everyone loves a good challenge, but some are tougher to tackle than others. For marketers, the big one is the personalization paradox. 71% of consumers prefer personalized ad content, but 74% are also concerned about how advertisers are actually using their personal data. This creates a problem for marketers. They want to reach out to their customers with personalized content but often rely on tracking technologies that are considered invasive. Fortunately, there is an answer to this particular paradox. Brands can use data-driven strategy to leverage large anonymized datasets that provide rich personalization at scale without compromising on privacy.

People are bombarded with thousands of ads every day, both offline and online. With the growing popularity of ad-blocking, it’s clear that they are looking for ways to reduce the number of ads shown. One of the big challenges is that most of this ad content is irrelevant to users. This article will explain how AI technology can help advertisers to deal with it and to improve campaign performance with more precise targeting through Deep Learning.

When many of us think of retargeting, our minds jump immediately to simple banner ads showing off the exact products that have been on our minds—but retargeting is so much more than that. With the right data and technology, we can use retargeting to connect with very specific types of users, or to achieve sophisticated goals. To understand why, let’s take a look at some retargeting ad examples and what they tell us about retargeting in general.