Mobile devices drive 73% of e-commerce traffic but convert at half the desktop rate. The problem is the scroll. AI shopping assistants compress product discovery into a conversation, lifting mobile conversion 4x.
Personalization has split into two architectures: behavioral (page swaps) and conversational (AI that asks, listens, and acts). This guide helps you decide which to deploy first based on your catalog, traffic, and where customers get stuck.
A practical framework for choosing between page-level and conversational personalization, with four common conversational patterns and a measurement model.
Static quizzes lose shoppers halfway through. Conversational AI captures the same preference data naturally, in the questions shoppers already want to ask. Here's how Alhena collects zero-party data without cookies, forms, or tracking pixels.
Pet owners leave your plant store to Google toxicity info and never come back. An AI shopping assistant equipped with a pet-safety dataset closes that gap in seconds, right inside the chat widget. Here is how to set it up without writing a line of code.
Most schema markup guides stop at Product and Review types. This post covers the next layer: sameAs entity linking for knowledge graph disambiguation, testing your structured data for AI crawler readability, and adding schema validation to your CI pipeline.