AI-generated marketing copy
The problem
Human-written direct-response copy is limited by intuition and hard to optimise systematically at scale.
The AI approach
Persado’s “Message Machine” uses machine learning and computational linguistics over a knowledge base of 1M+ tagged, scored words and phrases to generate and test message variations, selecting the highest-performing copy for each segment.
Evidence it works
After a 2016 pilot, Chase signed a five-year enterprise deal (2019); AI-generated copy outperformed human-written copy — up to a 450% lift in click-through rates, versus a 50–200% range for human-written ads — and was extended across card, mortgage, home-equity and wealth.
What “good” looks like
Measurable, controlled CTR/engagement uplift versus human-written control copy, with brand voice and compliance preserved.
Feasibility & cost shape
Relatively contained to deploy via a vendor platform; value scales with campaign volume and disciplined A/B measurement.
A genuinely measurable marketing use case — but we’d hold it to brand and compliance guardrails and judge it on tested uplift, not vendor headlines.
Based on publicly reported information about the JPMorgan Chase (with Persado) work.
This is an industry example included for illustration. It is not a Leia Intelligence project, and no client of ours is implied. Figures are as publicly reported by the original parties.
Sources: Persado / JPMorgan Chase press release (2019) · Marketing Dive · Adweek · Wall Street Journal