Some of the people who built Marketo are now trying to replace it. On October 26, MarTech contributor Moni Oloyede mapped a new generation of marketing automation platforms — Paminga, Inflection.io, Conversion.ai and Phave — that are positioning themselves explicitly as alternatives to traditional MAPs, with Marketo as the preferred target and HubSpot, Pardot and Eloqua customers also in scope. Inflection's pitch is blunt: "Replace Marketo, finally." Paminga ships a Marketo Translator to help customers migrate. Phave was founded by Jon Miller, Marketo's co-founder, and former Marketo product executive Nick Bonfiglio. Inflection's co-founders, Aaron Bird and Dave Rigotti, also passed through Marketo.
When the architects of a category return twenty years later to build against it, that is worth decoding. The bet underneath all four pitches is the same one, and Miller named it: the shift "from rules to reasoning."
The rules-based model that marketing automation was built on
Marketing automation platforms scaled a specific theory of B2B buying. In the early 2000s, marketing was under pressure to prove contribution to revenue; the SiriusDecisions Demand Waterfall, introduced in 2006, formalized the path from inquiry to marketing-qualified lead to sales pipeline. MAPs made that process operational: thousands of prospects, automated follow-up, measurable pipeline contribution.
The architecture that made this scalable was a rules engine. A marketing operations professional decides what should happen and translates that decision into platform logic: if a lead does X, do Y. The more complex the customer journey, the more rules, exceptions and dependencies a team has to maintain. Oloyede, drawing on years as a Marketo practitioner, describes expertise formed by discovering platform behaviour "only by breaking something," and annual costs she puts, from experience, at upwards of $50,000 to $70,000 for companies mainly using email, lead scoring, nurture, tracking and Salesforce sync.
That model worked when the buying process fit the loop it encoded: an individual expresses interest, marketing nurtures, sales takes over. We now know that B2B buying is group behaviour, multi-threaded and non-linear. The rules-based operating model quietly carried the 2006 assumption into 2026.
What "reasoning" changes, technically
A reasoning-based platform does not ask a marketer to anticipate every scenario. Instead, per Miller's framing as Oloyede reports it, the system evaluates customer context, interprets signals and determines appropriate actions within stated objectives and constraints.
Three things follow from that architectural difference:
- The unit of configuration changes. Rules engines are configured by listing behaviours. Reasoning systems are configured by declaring goals, boundaries and data access — closer to writing policy than writing logic.
- Rules do not disappear; they get a narrower job. Consent, compliance and anything demanding predictable behaviour still belong in explicit rules. The reduction target is the amount of human judgment encoded as workflow plumbing.
- The operator's job shifts from encoding to supervision. If the platform reasons, the scarce skill is no longer knowing how Marketo thinks — it is reviewing what the system decided, and why, and correcting it.
That last point is the quiet threat to the incumbent: the expertise that protects Marketo ("Bleed Purple" loyalty, careers built over 10 or 15 years) is the same expertise that raises its operating cost. A platform that requires less of it attacks the cost structure of running the incumbent, not just the licence fee.
Why the incumbents are structurally slow here
Marketo is not standing still. Adobe has shipped Marketo AI skills and an MCP server, and refreshed the interface in 2026. But Oloyede describes that refresh as mostly updated icons and a new UX layout over the same base platform, in the lineage of Marketo Sky, which was sunset in 2022 after never reconciling its functionality gaps with Classic.
There is a deeper structural constraint: an incumbent cannot re-architect its core operating model without breaking the infrastructure its best customers depend on — mature Salesforce integrations, deep operational histories, and communities whose loyalty is genuinely an asset. Every layer of reasoning Adobe adds has to coexist with the rules engine underneath. Challengers start without that constraint; they also start without the track record, which is exactly what an enterprise buyer will ask about first.
A decision framework if you run marketing operations on a legacy MAP
Before treating this wave as migration season, run your platform through these six questions:
| Question | What it tells you |
|---|---|
| What share of our MAP cost is licence vs. people to operate it? | If people dominate, a reasoning-based platform attacks your real cost line |
| What share of our rules encodes judgment vs. compliance? | Compliance rules must stay explicit; a heavy judgment share is the automatable part |
| Is our buying model closer to a 2006 waterfall than to reality? | The bigger the mismatch, the more a reasoning model pays off |
| What is our data exit story? | Paminga ships a translator; demand equivalent portability from anyone |
| Who audits the AI's decisions and how? | If the vendor cannot show you the reasoning trail and correction controls, wait |
| What is our hybrid period? | Reasoning systems mature on consent, deliverability and auditability — plan a realism window, not a big-bang cutover |
The honest read: a migration born only of frustration with complexity will fail the same way Marketo implementations fail — via operational debt transferred from one thick tool to another. This wave becomes genuinely different only if the reasoning layer actually reduces configuration load, and the purchaser verifies claims like "replaces your workflows" against their own hardest use cases: consent handling across jurisdictions, deliverability reputation, Salesforce sync fidelity, audit trails. These claims are unproven at enterprise scale, while silent-cost claims like Oloyede's $50,000-to-$70,000 figure come from a single practitioner's experience.
For Canadian SMBs the stakes are slightly different: most were never Marketo candidates to begin with. The relevant lesson is earlier in the stack — when you pick any automation tool today, you are choosing between an architecture you have to encode and one you can supervise. That choice compounds for years, which is exactly the dependency Marketo customers are discovering the hard way.
Vivid builds automated marketing and business workflows for SMEs — and we help clients decide buy vs. build vs. migrate with actual math, not vendor decks. Contact us if you want an outside assessment of what your stack should look like in 2027.
