An ecommerce brand can know that you spent $186.40, opened three emails, bought twice in six months and used a discount code on your first order.
It can still have no idea who you are.
OuterSignal was built around that strange imbalance. Modern commerce software remembers transactions exceptionally well, yet the relationship behind those transactions has become thinner as brands rely on ad platforms, marketplaces and automated marketing stacks. OuterSignal’s founders, Zach Zelner and Noah Friedman, say they repeatedly ran into that problem while building and investing in consumer companies, eventually creating an internal tool to understand the people hiding behind order records. That tool became OuterSignal.
Now the company has raised a $22 million Series A, co-led by Long Journey Ventures and Abstract Ventures, with BAM Ventures, Top Shelf Ventures, SuperAngel.Fund, AME Cloud Ventures, OpenSky and Family Fund also participating. OuterSignal launched publicly in January 2026 and says thousands of brands have adopted the platform since.
What makes the product easier to understand is one story from a customer rather than a feature list.
A buyer at a major retailer placed an order on a brand’s website using her personal email address. To the ecommerce system, she looked like another customer. OuterSignal identified her professional role and flagged the order; the brand turned that purchase into a retail meeting. That is the layer OuterSignal wants to add to ecommerce: not more transaction data, but more context around the person who generated it.
The platform connects to a CRM or commerce system and enriches customer records with information such as occupation, education, interests, family context and social presence. From there, marketing teams can identify influencers already buying from them, spot executives or potential retail contacts, create customer personas, and build more specific audiences for acquisition and lifecycle campaigns. OuterSignal describes the category as agentic customer intelligence.
That positioning matters because ecommerce personalization has traditionally been built on behavior: what someone clicked, bought or abandoned. OuterSignal is trying to add another dimension: who that customer appears to be outside the checkout page.
The company points to early customer results to support that argument. Its published case studies include a 47.2% revenue lift from persona-based email campaigns, more than 20x ROAS in a direct-mail use case and a Meta audience for Jolie that generated 412% higher sales than the brand’s average audience. These are company-published customer results rather than independently audited performance figures.
The Series A is meant to push the idea further.
OuterSignal says much of the capital will go into hiring across engineering, customer experience, marketing, operations and sales. But the more consequential product direction is what the company calls agentic personalization: software that understands individual customers well enough to decide how they should be engaged without marketers manually constructing every audience and campaign segment.
That is a more ambitious proposition than better segmentation.
Generative AI has made it cheap to produce dozens or thousands of versions of a campaign. The harder problem is deciding which version belongs in front of which person. Without better customer intelligence, brands risk automating the same generic marketing they already run, only faster.
OuterSignal is betting that the advantage sits one layer earlier.
Before AI writes the message, the system needs to know who it is talking to.
And if the company can make that understanding accurate enough to act on, the $22 million round could move OuterSignal from being another ecommerce enrichment tool toward something more central: the identity layer that sits between a customer record and the marketing agent deciding what happens next.
