Audience research, digital channel evaluation, brainstorming and ideation, competitive positioning, information architecture, developing pillars, defining success, writing briefs, big thinking about content’s purpose, and the expertise/proof needed to create great content.
Iteration is a repetition of a process to solve a specific problem, and it’s a big part of how machine learning algorithms are developed. But the way devs and data scientists think about iteration doesn’t always match with editorial and entertainment industry production methodologies and norms.
Like humans, parrots comprehend. They understand options and make choices based on comprehension. While the stochastic output of an LLM can seem like an entity deciding or exercising creative thought patterns, it’s just an algorithm running on a computer.
Customer feedback has become a precious commodity for content marketers. The lessons ecommerce vendors are learning from reviews apply to any online content business. It's time to listen to your customer feedback.
Visual concepting tools have branched into the strategy, brand, and content disciplines. They present rich canvases to communicate vision, a far cry from algorithms that fill content templates.
Understanding the what, why, and how of fashion’s investments in the metaverse from a content strategy perspective provides a rich source of case studies, best practices, and competitive research for business decision makers and strategists alike.
It’s easy to critique Google and SEO if you don’t know how it can help a site with quality content. But hunger for the next big thing can steer users elsewhere. Why is everyone looking for a Google killer?