A method for deciding what Amazon A+ Content modules to build: read/summarize the full body of existing customer reviews, looking for product aspects, questions, or objections that come up repeatedly but aren't currently addressed anywhere on the listing. Each such gap becomes a candidate A+ content module.
This treats a product's own reviews as the primary sourcing material for content strategy — a form of gap analysis run against your own customer feedback rather than competitor listings (contrast with tools aimed at competitors, e.g. Data Dive Review Mining (AI Product Brief)). It fits the framing of A+ content as 'the last stand' for conversion: 'The point of A+ content is to be a conversion driver for the product and is the last stand that you have when somebody is on your listing page to get them to try and convert into a customer.'