SupplyChain 1.1 may make better programmatic paths look longer. Buyers must separate technical custody from payment before transparency is mistaken for waste.

IAB Tech Lab’s new draft clarifies podcast delivery measurement—and exposes why a download still cannot prove attention.

Artisan marketplaces can use AI to understand shelf productivity, maker economics, and customer demand without flattening craft into interchangeable inventory.

AI agents are beginning to research and act on customers’ behalf. Marketing now needs separate access, content, and measurement for machine visitors.

Design A/B tests that isolate one decision, preserve a valid control, and turn campaign results into marketing lessons your team can reuse.

Modern marketing teams don’t suffer from a lack of ideas—they suffer from a lack of signal. Between ad platforms, email, SEO, social, and on-site behavior, the data is everywhere, but the decisions still feel like guesswork. The result is familiar: campaigns that look busy, dashboards that look impressive, and growth that feels inconsistent. An AI marketing engine changes the game by turning scattered activity into a connected system. Instead of asking, ‘What should we post n

Generative AI has made production abundant. A useful image, a short video, a set of captions, or a dozen campaign variations can now be created in a fraction of the time that once separated an idea from an asset. That is real progress. But it has also made one marketing mistake easier to hide: mistaking output for progress. A recent Forbes analysis of generative AI and performance marketing raised the right challenge. The question is not whether AI can make content that earns