AI is rapidly reshaping the customer journey. Discovery is shifting away from owned channels, traditional search is giving way to AI engines that deliver instant answers, and AI agents are expected to transform retail with hyper-personalized experiences. At the same time, consumer expectations are rising just as quickly, with nearly three-quarters now expecting personalized interactions with every brand they encounter, whether it’s a streaming app or credit card company.
To keep up, brands must deliver interactions that feel individualized, intuitive, and contextually at every touchpoint.
Decades of digital transformation and mountains of consumer data were supposed to make personalization easy. But most companies still struggle. In fact, 87% of marketers admit that data is their most underused asset.
Now, that promise is finally within reach. Auxia, a LIFT Labs portfolio startup, helps enterprises transform first-party data into personalized customer journeys at scale. Its AI platform automates the kind of complex decisions and optimizations that would normally take teams of analysts weeks to complete. Auxia’s AI agents monitor consumer behavior to test, learn, and optimize campaigns in real time.
In 2025, Auxia raised $23.5 million in venture capital and has a growing list of enterprise clients. A global financial institution used Auxia to increase onboarding completion rates by 50%. A digital publisher achieved a 50–100x increase in registration rates without sacrificing ad revenue. And a major consumer marketplace boosted customer lifetime value 84% across categories in just four months.
The Rise of the Supermarketer
With Auxia, marketing teams run constant experiments, receive real-time performance feedback, and spend more time steering strategy than managing spreadsheets or requesting analysis from data scientists. Auxia tests offers, assets, and messaging, then provides recommendations that marketers can accept, reject, or refine.
Instead of segmenting audiences into broad categories such as “prospects in Illinois” or “loyal customers in warm-weather states,” marketers define goals like “boost repeat purchases” or “increase lifetime value.” They can also set rules. One message per user per day, for instance.
From there, Auxia’s agents analyze every available asset and delivery mechanism to determine which combination is most likely to resonate for each individual user.
That feedback loop is critical to retaining customers because existing customers are 50% more likely to try new products and spend 31% more than new customers.
“If you can’t deliver the personalization people expect,” Menon said, “they’ll treat your messages like junk mail. Straight to the recycling bin.”
A Personal Approach to Personalization
Menon’s fascination with individualized customer experiences started long before he worked in tech. He grew up in a small town in India, where his father’s local banker knew every detail of his family’s finances and offered advice accordingly. Personal, informed, and grounded in trust. It became a model for what good business interactions should feel like.
At Google, Menon and his eventual Auxia cofounders Cole Stuart, Ravi Desu, Asim Krishna Prasad, and Asim Krishna Prasad saw how AI-driven decision-making could unlock that same intimacy at scale. But they also saw that most enterprises lacked the infrastructure and talent to make it happen.
“We realized that every organization everywhere needed to be doing this,” Menon said. “We need to democratize this.”
Partnering with Comcast NBCUniversal
Joining the Comcast NBCUniversal LIFT Labs Accelerator in 2025 gave Auxia the opportunity to demonstrate the power of its technology with one of the world’s largest media and technology companies.
Menon agreed saying: “I wish more companies had a model like this. LIFT Labs has been able to expedite a lot of the work that traditionally would take months.”
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