Most RevOps automation starts as duct tape: a Zapier zap here, a webhook there, a spreadsheet that a human syncs by hand every morning. It works until the pipeline gets valuable enough that a dropped
Personalization products stand or fall on a number most demos never mention: the milliseconds you have to decide before the page renders. A recommendation that arrives after the hero has painted is a
Attribution is the part of a marketing-AI product where the engineering and the honesty have to arrive together. Shipping a dashboard that assigns tidy credit to every channel is easy. Shipping one wh
Most AI marketing initiatives fail at the plumbing, not the model. A team wires an LLM into a content workflow, bolts a recommendation engine onto the storefront, and stands up an attribution dashboar
The gap between "we hooked up an LLM to generate blog posts" and a content engine an editorial team runs in production is enormous, and most of it is engineering. A single generation call is a toy. A
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