Six uses of generative AI in marketing have a published effect size from a controlled trial: customer-conversation replies (+14% throughput), first-draft copy (−40% time), analysis inside AI’s competence (+25.1% faster), a whole email programme (+2.05% projected net profit), AI-generated ad visuals (up to +19% click-through) and AI-personalised video ads (+9.4% click-through). Only the last two measure demand rather than production cost. Every other use we checked has no published effect size at all.
What this covers
- What is generative AI in marketing, and the one line that decides the budget
- How to test a generative AI marketing claim before you fund it
- MAKE MORE SALES.
- Which generative AI marketing uses have a published effect size?
- How do I tell whether a generative AI marketing claim is real?
- The generative AI use cases with no published effect size
This is a technical summary. The full guide — with the data, tables and worked examples — is on our site: *Generative AI in marketing: what measurably works and what is theatre*.
LeadsNow AI builds pay-per-result AI lead generation and answer-engine-optimisation systems in Australia.
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