Brands have always been able to look at macro industry and cultural trends. But being able to balance those against granular, real-time data on what people are engaging with in social, through emails, and via their browsing and purchasing habits, gives a much more complete picture about the types of products and experiences that are really resonating. And now, with AI agents, AI search and other tools taking curation to an entirely new level, it's become even more important that products present a unified front.
"Through formats like unboxings, hauls, and reviews, creators have long fostered shared shopping experiences on YouTube. In YouTube's new 'shoppable' era, these shared interactions have been transformed into a tangible reality. Today, viewers can easily browse and purchase products created or recommended by creators, reshaping the long-standing relationship between creators and their fans."
Pinterest's latest branding campaign, which it first launched back in May, aims to showcase Pinterest's expanding capacity to discover products based on text and/or visual search. As you can see in this example, the new promo spots demonstrate the option to segment different elements from each Pin image, in order to find related, or more personally relevant products. In addition to this, Pinterest is also expanding
We live in a time when information moves faster than decisions. AI, automation, and integrations cut the development cycle from months to days, but at the same time push teams into shallow thinking. People stop going deep because there are too many goals, and priorities shift before you even finish the plan. Before, working frameworks relied on stability: you could build a model, agree on it, and use it for years. Today there is no stability, and approaches that ignore this fact become empty shells.