Gartner Report Identifies AI-Generated Marketing Content as a Top GenAI Use Case; Persado Motivation AI Drives $1.8B in Incremental Revenue for Top 30 Customers
Enterprise brands find it difficult to execute personalization at scale given the need to manage more and more marketing segments and digital channels, making AI-generated content a critical but hard-to-achieve requirement.
Organizations using GenAI for marketing personalization achieve higher prospect engagement, increased click-through rates, and lower customer acquisition costs; Persado's top 30 customers have earned over $1.8B in incremental revenue.
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Frequently asked questions
What did this team achieve with this AI workflow?
Organizations using GenAI for marketing personalization achieve higher prospect engagement, increased click-through rates, and lower customer acquisition costs; Persado's top 30 customers have earned over $1.8B in inc…
What tools did this team use?
Persado Motivation AI.
What results were reported?
Incremental revenue for top 30 customers: over $1.8B; outbound marketing messages personalized by GenAI (projected 2025): 30%; outbound marketing messages personalized by GenAI (2022 baseline): less than 2%; Consumers becoming repeat buyers after personalized experience: 56% (source-reported, not independently verified).
How is this marketing ops AI workflow structured?
Build personalized ad content at scale → Analyze ad channel performance → Customize content by audience demographics → Identify effective language for conversions → Automate creative workflow output.