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Optimizing for Search Amid the Data Revolution and Increasing Complexity of Technical SEO in 2022

Brightedge

When we talk about SEO, the content optimization half of the equation gets a lot of the attention, but in 2022 and for the foreseeable future, technical SEO presents an equal if not bigger opportunity (or barrier, depending on how brands approach it) for maximizing digital discovery.

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Artificial Intelligence in Marketing: Finding Efficiencies in Your Toolkit

SmartBug Media

Ethical Concerns & Bias Transparency, privacy protection, creative infringement, and other ethical considerations are crucial when it comes to AI adoption in consumer-facing applications. At the time of writing, one crucial question being asked right now is, “What happens when generative AI starts using its own outputs as inputs?”

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We’ll Take the B2C Special: Fully Personalized and Self-Directed Email Experiences

Litmus

Now they find themselves racing to adopt new personalization trends meant to mitigate privacy changes, such as Apple Mail Privacy Protection (MPP) or the loss of third-party cookies. How has email, specifically, been impacted by Apple Mail Privacy Protection?

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Defining Your Email Marketing Through Data

Litmus

When Apple’s Mail Privacy Protection (MPP) came into effect last fall , email marketers in all industries were made to reconsider their entire analytics strategy. Optimize along the way by experimenting with different content formats, or by removing barriers like content gates in an effort to increase engagement.

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The State of Global Privacy Legislation with Adam Woods, COO

Choozle

California’s Attorney General and the new California Privacy Protection Agency (CPPA) have also indicated support for an “ opt-out preferences signal” or global privacy control (GPC) to enable devices or browsers to direct websites to automatically remove oneself from data sharing.

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Benefits of Democratizing AI for Businesses

Valasys

Understanding Democratizing AI AI democratization seeks to eliminate barriers to entry, such as high costs, technical complexity, and limited expertise, making AI accessible to businesses that may not have had the resources or expertise to adopt AI in the past.