For marketing leaders
After three decades and billions invested in MarTech, the work of marketing still runs on PowerPoints, spreadsheets, and PDFs. In an AI-native operating model, that gap stops being an inefficiency and becomes the constraint.
The strategic problem
We've spent enormous sums on marketing automation, CDPs, next-best-offer models, orchestration, and marketing mix modeling. Yet most marketing organizations still run on decks and spreadsheets. The reason isn't the platforms. It's that the actual work of marketing — strategy, planning, design, prioritization, stakeholder alignment — is decision work, and decision work never moved into the stack.
Creative briefs live in Word. Strategic plans and personas live in PDFs and decks. Audience selections live in spreadsheets. Journey maps live in Miro. There's no shared structure to any of it — so when work crosses teams, the translation happens in meetings and inboxes, not in systems. AI raises the stakes: agents automating brief generation, audience strategy, and journey design need structured context to be reliable. They cannot scale on PDFs.
What OSMM is — and isn't
OSMM is a schema and interoperability layer for the decision work of marketing. It defines what a creative brief contains, what a campaign is, what relates to what, and how the chain connects from strategic objective through audience and offer to creative, channel, and measurement.
It does not replace your CRM, CDP, DAM, or analytics platform. It standardizes the business objects those systems should all reference — and the decision artifacts that today live in documents. Objects are machine-readable so agents can operate against them, and human-understandable so your teams can use them.
Why it matters
From strategy through execution to ROI — every dollar traceable to an objective, every asset to a campaign, every outcome to an investment decision.
Agents operate against structured, predictable context rather than free-text briefs — so each new use case is cheaper and more reusable than the last, not bespoke per team.
Every campaign and test updates durable context — audiences, personas, offers, creative patterns — so the next campaign starts smarter. Knowledge stops walking out the door.
A common definition across MarTech systems reduces the integration burden that consumes a meaningful share of marketing operations capacity today.
Fewer naming-convention debates, less reconciliation work, and cleaner audit trails for regulated industries.
The opportunity
The strategic opening is to treat OSMM not as a marketing taxonomy — those have repeatedly failed to gain adoption — but as the interoperability layer for AI-native marketing operations. That framing aligns with where enterprise marketing is actually heading: agentic workflows, modular orchestration, and operating-model redesign.
For organizations that adopt early, the upside compounds: every AI workflow built on a shared object model is cheaper and more reusable than the one before. For those that don't, the unstructured-document tax compounds in the other direction.
