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Brand trust is on the decline. The combination of rapidly emerging technologies, an abundance of misinformation and unethical data use have put consumers on edge. The trust metrics are proof. Only 30% of consumers trust companies highly, and only 61% trust business leaders to tell the truth. Trust is integral to long-term consumer loyalty. Without a relationship with a brand, what keeps customers returning or motivates them to advocate for your brand to their friends and family?
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The only constant in marketing is change. With new trends, technologies and techniques emerging almost daily, the importance of swiftly adapting only increases. Specifically, two connected areas in the marketing world have seen rapid evolution over the last few years: privacy and technology. The evolving landscape: Privacy regulations and technological advancements Privacy has become a growing concern in the global marketing landscape.
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Entrepreneur and author Octavia Goderema When it comes to securing funding for a tech startup, we all know the depressing statistics. Men do better than women, white men do better than Black men, they both do better than Black women, and if you’re a Black woman who openly identifies as lesbian or queer, you’re likely at the bottom of the pile.
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Salesforce’s Summer 2024 releases will help teams work smarter, with new product innovations built on data, AI, CRM and trust. This edition’s enhancements save time for businesses and improve the end-user experience with better search results, individualized personalization and more. Here’s a recap of what’s new with Salesforce this season. Activate and publish a store without a custom domain B2B Commerce Lightning Web Runtime (LWR) previously required you to purchase and configure a custom co
Amazon rolled out its AI-powered shopping assistant, Rufus, to all U.S. customers in its mobile app. Why it matters. This move signals Amazon’s push into AI-assisted shopping, potentially transforming how consumers interact with ecommerce platforms. How it works. Rufus uses a specialized large language model (LLM) trained on Amazon’s product catalog, customer reviews and web data.
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