AI CRO — GoGoChimp Blog

AI-powered conversion rate optimisation is the practice of pairing machine-speed experimentation with human CRO strategy. AI tools can run tests, generate variants, and score winners in days. What they can’t do is tell you which tests matter, which audience segments to prioritise, or when the AI is measuring the wrong signal.

This is where AI CRO becomes practitioner work again. Off-the-shelf AI tools get you 4–7% lifts. The same tools, configured by someone who has tested 347+ stores, deliver 28–34% lifts. The difference isn’t technology — it’s knowing which experiments to run first, how to read the results, and when to override the algorithm.

Every post in this pillar tackles one aspect of that work: hypothesis prioritisation, AI copy testing, predictive heatmaps, guardrails for autonomous experimentation, monthly revenue attribution, and the traps that cause self-serve AI to underdeliver. Written from first-hand operator experience across e-commerce, SaaS, and B2B lead-gen funnels.