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15 Articles Found
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  • Published:
    12 May 2022

    Top Luxury Brands’ Digital Marketing

    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.

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  • Published:
    31 January 2024

    Winning Loyalty Across Generations: Mastering Personalized Marketing

    Personalized marketing is about understanding the motivations and tendencies of individuals and then meeting their preferences in design, social engagement, marketing, sales channels, delivery methods, and after-sales care. Ads are, of course, one critical element of this whole, so we’re taking a look at different aged customers to show how you can deliver “a smarter dress code” for online fashion campaigns across the generation gap.

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  • Published:
    17 January 2022

    Fashion Trends in the Online World for the Near Future

    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?

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  • Published:
    23 January 2024

    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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  • Published:
    14 July 2022

    Personalization in Promotional Periods in Home & Garden

    It’s no secret that promotional periods spark a change in consumer behavior in just about any industry, and the Home & Garden sector is certainly no different. This thriving ecommerce sector is attracting some serious competition. With the global home and garden products B2C ecommerce market poised to grow by USD $30,189.84 million accelerating at a CAGR of 10.53% between 2023 and 2027, competition is flourishing, meaning that maintaining consumer loyalty is fast becoming a big challenge.

    Hanging on to the industry’s coattails may not be enough, with 66% of consumers now expecting brands to understand their individual needs. Those that choose to strategize and personalize to cater to these needs are most likely to reap the greatest rewards of consumer spending during promotional periods by delivering relevant experiences based on seasonality.

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  • Published:
    19 April 2023

    AI vs. Deep Learning vs. Machine Learning in Advertising

    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.

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