Persado introduces new API to drive consumer behavior through words

The API will allow marketers to integrate Persado’s AI-generated motivational language suggestions with their other systems.

Persado, which uses AI to generate natural language with a persuasive edge, has announced the launch of its Motivation AI API, allowing marketers to integrate Persado directly into their other solutions.

Having spent ten years using AI to generate text such as maximally effective email subject lines, Persado is currently leveraging a database of over 100 billion language impressions and 1.2 billion annual interactions with brands to automatically identify words and phrases likely to transform behavior in a given context.

Why we care. Natural language generation through AI is not new, although its recently accelerated development has seen the space grow significantly. What Persado has been doing is adding a level of transformational impact to NLG by generating text with words and phrases that act as emotional drivers.

In other words, rather than just automatically generating appropriate and relevant text, its mission is to generate text that will have a measurable impact on outcomes. It does this by analyzing a vast database of previous instances.

The post Persado introduces new API to drive consumer behavior through words appeared first on MarTech.


About The Author

Kim Davis is the Editorial Director of MarTech. Born in London, but a New Yorker for over two decades, Kim started covering enterprise software ten years ago. His experience encompasses SaaS for the enterprise, digital- ad data-driven urban planning, and applications of SaaS, digital technology, and data in the marketing space. He first wrote about marketing technology as editor of Haymarket’s The Hub, a dedicated marketing tech website, which subsequently became a channel on the established direct marketing brand DMN. Kim joined DMN proper in 2016, as a senior editor, becoming Executive Editor, then Editor-in-Chief a position he held until January 2020. Prior to working in tech journalism, Kim was Associate Editor at a New York Times hyper-local news site, The Local: East Village, and has previously worked as an editor of an academic publication, and as a music journalist. He has written hundreds of New York restaurant reviews for a personal blog, and has been an occasional guest contributor to Eater.