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Why Data-Driven Personalization is the Key to Marketing Success
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.
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3 Ways Fashion is Using AI This Season
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.
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Food for Thought: Effective In-App Ads for Food and Beverage Brands
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: