AI media agency Multiply has secured $9.5 million in funding to fuel the development of its ‘self-learning’ advertising platform.
Multiply’s tech, for B2B companies, aims to solve the issue of ads becoming less effective over time through learning from performance data and being able to self-improve.
The platform taps into sales recordings, CRMs and internal ad data to refine audiences, copy and creative.
The San Francisco company claims this continuous re-invention helps ads improve, rather than decline in effectiveness, over time. Multiply says its customers experience a 770 percent increase in sales meetings and a 300 to 500 percent increase in pipeline.
The self-learning system uses five agent types: a customer insights agent that personalises ad copy, an ICP agent that refines targeting using CRM data, a quality score agent that optimises keywords, a creative design agent that refreshes ad imagery, and a deployment agent that handles execution and bidding across platforms.
Multiply was founded by former Google executive Matt Jayson and former engineer at cyber security platform HackerOne Ashish Warty.
The round was led by Mayfield, with other backers including Sorenson Capital. The funding coincides with Multiply’s emergence from stealth mode.
Ready for ChatGPT Ads
The company, which operates as a media agency, uses AI agents to power targeting and ad creative. The company outlines that human media buyers still provide oversight to ensure the agents are doing what they’re supposed to do.
“Together, these systems allow Multiply to iterate faster than any traditional agency model,” said Warty.
Multiply was originally built for Google Search and LinkedIn ads but says it will also be used to power ads in ChatGPT and is helping customers prepare for this new way of advertising.
