Personalization

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.

Food & beverage marketing is entering a new era. As the march toward mobile-first connectivity gathers pace, businesses in the food & beverage industry are starting to focus on mobile-first solutions and build engaging apps. But with competition being so fierce in the F&B space, there’s a pressing need to stay top-of-mind. In-app advertising provides an answer—with more targeted ads, brands can keep users engaged to gain an edge over the competition. Here’s what you need to know in a nutshell:

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.

Fashion brands have always had to stay on the cutting edge of the latest trends. But now, the industry is incorporating technology. Just how is AI changing fashion? Artificial Intelligence promises to reshape whole sectors of the economy, and fashion brands will have to adapt. Companies that use AI or Deep Learning are crafting tomorrow’s trends with precision and personalization. From predicting trends before they happen to getting dynamic pricing right, AI offers a strategic leg up that’s changing an industry. Those who embrace it are not just keeping pace; they’re setting it while competitors trail behind. See how fashion brands are already using AI and step into the future of fashion with us.

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.

The COVID-19 pandemic has caused a real revolution in the fashion industry. It significantly changed the shopping habits of customers and, consequently, forced the industry to redefine the existing distribution and marketing strategies in order to effectively fight for lost customers and acquire new ones. What fashion trends should be kept in mind while creating a plan for brand presence on the Internet? How does one fight for customer loyalty and build brand image?