Marketo Co-Founder Launches Phave to Replace Rules-Based MAPs

Jon Miller, who co-founded Marketo and helped define the marketing automation platform category, has emerged from stealth with Phave, a new enterprise B2B platform designed to replace the rules-based architecture that has dominated the space for more than a decade.

After two years of development, Phave now powers marketing operations for 10 companies, according to Miller. The platform represents a fundamental rethinking of how marketing automation should work in an environment where buying committees make decisions, buyers research anonymously, and marketing teams own the full customer lifecycle—not just lead generation.

From static rules to AI reasoning

Legacy marketing automation platforms operate on conditional logic: if a prospect takes action X, trigger response Y. Miller argues this approach has become a liability. "Rules are good at what must be true, but they can't handle ambiguity, and they can't provide judgment about what is best," he told MarTech. "B2B buying is ambiguous and complex, and doesn't lend itself very well to rules."

Phave replaces those rigid triggers with AI reasoning models that evaluate context and determine the next logical step without requiring marketing operations teams to manually configure every scenario. The platform treats individual contacts, target accounts, and multi-person buying groups as distinct entities, each with its own intent scores and tailored journeys.

Playlists replace campaigns

Phave introduces what Miller calls "playlists"—a structural shift borrowed from music streaming platforms. Instead of launching static campaigns that push the same sequence to everyone, Phave continuously evaluates real-time data to determine which marketing tactic to deploy next for each individual.

"The campaigns are the albums and the songs are the tactics," Miller explained. "We're not using AI to necessarily spin up a new tactic for each person, but what we're doing is we're mixing them in the optimal order for each person."

If a buyer consistently opens emails on Tuesdays but ignores webinar invitations, Phave registers those preferences and adjusts future outreach automatically. The platform also acts as a centralized traffic controller, preventing the common problem of multiple teams inadvertently bombarding the same account with competing messages.

Built for AI agents

Phave was designed for an operational model where marketers interact with software primarily through AI agents rather than manual dashboard work. The platform exposes 319 tools through the Model Context Protocol, allowing external agents and internal systems to trigger actions directly.

Marketing operations leaders can build custom "skills" that encode organizational standards—campaign naming conventions, UTM structures, approval workflows—so AI agents execute tasks according to established best practices without manual oversight. Early adopters report building campaigns two to three times faster, according to Miller.

Why it matters

The launch signals a potential inflection point for marketing automation, a category that has seen incremental feature additions but little architectural innovation since its early days. If Phave gains traction, it could force established vendors to confront whether their rule-based foundations can adapt to AI-native workflows—or whether they risk obsolescence as buying behavior and marketing responsibilities continue to evolve beyond what legacy platforms were designed to handle.

Miller's motivation for building Phave grew from his experience at Engagio, the account-based marketing platform he founded after Marketo and sold to Demandbase in 2020. Marketers repeatedly told him that legacy platforms could not keep up with how B2B buying and marketing operations had changed, yet they had no viable alternative to replace them.

These details were first reported by MarTech.