Rakuten Advertising Introduces Innovation Labs
Rakuten Advertising, a global leader in affiliate marketing, has officially launched Innovation Labs, a new product development hub designed to accelerate the integration of artificial intelligence (AI) into affiliate marketing strategies. This initiative aims to enhance ad spend efficiency and optimize customer engagement across Rakuten’s extensive affiliate publisher network.
The launch of Innovation Labs marks a significant milestone in Rakuten Advertising’s ongoing mission to transform the affiliate marketing landscape through cutting-edge technology. The Labs are now live within the company’s Insights & Analytics portal, offering advertisers and publishers a collaborative space to explore and test next-generation AI solutions that can drive business growth.
A Strategic Step Toward AI Empowerment
According to Nick Stamos, CEO of Rakuten Advertising, Innovation Labs is the result of years of dedicated work building the company’s Affiliate Intelligence suite of AI-powered tools. “This initiative is a critical step in how Rakuten Advertising contributes to the broader Rakuten Group’s ‘Triple 20’ commitment — using AI to deliver 20% greater efficiency across employees, internal teams, and clients,” said Stamos.
Stamos emphasized that the Labs will help shorten the traditional build–measure–learn cycle of technology development, allowing Rakuten to rapidly invest in capabilities that deliver measurable outcomes for both advertisers and publishers.
AI Recommendations for Advertisers and Publishers
Upon launch, Innovation Labs introduces AI Recommendations, a powerful tool designed to provide tailored insights for both advertisers and publishers.
For advertisers, the tool analyzes a wide range of business attributes — including product offerings and performance data — to recommend new types of publishers. This helps brands identify partners with proven success in similar campaigns and uncover new publisher segments that can drive growth.
For publishers, AI-driven Product Recommendations streamline the content creation process by instantly identifying trending products from both partnered and non-partnered advertisers. Publishers can filter results based on brand or category, making it easier to curate content that resonates with their specific audience and maximizes monetization potential.
A Platform for Continuous Innovation
Innovation Labs will serve as an ongoing research and development ecosystem powered by Rakuten Advertising’s Data Science team. The team will conduct rolling experiments guided by client and partner input, ensuring that the platform evolves in response to real-world needs. New features and updates will be added regularly to support the dynamic nature of affiliate marketing.
Adam Rostan, Chief Product Officer at Rakuten Advertising, highlighted the collaborative spirit of the Labs. “Innovation Labs delivers on our promise to continually evolve our products in ways that benefit all participants in the affiliate marketing ecosystem — from brands to publishers and ultimately consumers,” said Rostan.
He added, “This will be a space where both advertisers and publishers can experiment, collaborate, and scale new AI applications to enhance efficiency and accelerate industry growth.”
Rakuten Advertising’s Broader Vision
Rakuten Advertising is known for its performance-driven and brand-focused advertising solutions that connect top global brands with highly engaged audiences. With a foundation built on industry-leading technology, expansive media properties, and a high-quality publisher network, the company continues to lead the way in delivering impactful advertising experiences.
As part of Rakuten Group, Inc., a global internet services giant headquartered in Tokyo, Rakuten Advertising operates offices across North America, EMEA, APAC, and LATAM. The addition of Innovation Labs further strengthens the company’s position as a pioneer in leveraging AI to drive advertising innovation.
To learn more, visit RakutenAdvertising.com.
This article is inspired by content from Original Source. It has been rephrased for originality. Images are credited to the original source.