The API and MCP-first MAP for a headless stack
Retire Marketo for a platform your Claude control center can actually conduct. Full Marketo parity, 1:1 ABM across ads, landing pages, and emails, and lead scoring as an agent, all callable over API and MCP and unified on Snowflake.
API + MCP
Every object and action callable by an agent
Full parity
Marketo fundamentals kept, not dropped
1:1
Personalized ads, landing pages, and emails per account
1 POC
Start with lead scoring, prove it before you consolidate
A MAP your agents can conduct
Marketo cannot feed an agentic, headless org because its API is an afterthought. Conversion is built the other way around. Every object and action is exposed over API and MCP, so your team conducts the work from Claude and Conversion runs the MAP fundamentals underneath.
Your team conducts the stack from one agentic surface, not another UI.
headlessEvery object and action exposed over MCP and API. Marketo fundamentals, now callable by an agent.
Flows back to
Reporting lands in Snowflake, so BI stays in one spot.
Keep the long tail, drop the dinosaur
The reason rip-and-replace stalls is the long tail your operations team runs every day. Conversion carries it forward in full, so moving off Marketo does not mean losing the plumbing. This is the exact parity that AI-native point tools leave behind.
Everything above is scriptable over the same API and MCP surface, so your operations team keeps its workflows and your agents get programmatic control.
A bespoke experience for every account
For each Tier 1 account, one agent builds custom ads, a custom landing page, and a tailored email sequence off a single account record. It starts hybrid with a human in the loop and earns more autonomy as trust builds, which is exactly the evolution you described.
Account record
One record per account.
Conversion agent
orchestratingCustom ads
LinkedIn, Meta, and Google, per account
Custom landing pages
One bespoke page per target account
Custom emails
One-to-one sequences, not a blast
Attribution
Multi-touch, first click to SAO
This is the play that found you. The outreach that opened this conversation was built by one agent off a single account record. That is the one-to-one motion you can run on every Tier 1 account, and the hybrid-to-autonomous path earns more autonomy as trust builds.
Scoring as an agent, not a black box
Score every lead and account on fit, product usage from Snowflake, intent, and enrichment, with transparent logic your team can audit and tune. It replaces the scoring spend you are already planning to cut, and it is the lowest-lift place to start a POC.
Firmographic fit
Salesforce
Product usage
Snowflake
Intent
6sense
Enrichment
Clay
Scoring agent
Replaces MadKudu, transparent logic you can audit
Everything unified on Snowflake
Salesforce holds the deals, Snowflake is the center of gravity, and signals arrive from Clay and 6sense. Conversion unifies them into one record per contact and account, then writes results back so reporting lands in one place instead of a marketing silo.
Salesforce
CRM
Snowflake
Warehouse
Product
Events
AI Agents
Enrichment
Sarah Chen
VP of Marketing · Acme Corp
Lead Score
0
Conversion vs Inflection vs Phave
All three are AI-native. Only one ships with enterprise customers, syncs with your warehouse, and carries the Marketo long tail.
| Capability | Conversion | Inflection | Phave |
|---|---|---|---|
| API and MCP-first, built for a headless stack | Limited | Limited | |
| Marketo long-tail parity (campaign-member sync, programs) | |||
| Data-warehouse sync (Snowflake, read and write back) | |||
| 1:1 ABM: custom ads, landing pages, and emails | Email only | ||
| Lead scoring and routing as agents | Partial | ||
| Shipping product with enterprise customers | Beta |
Comparison reflects Conversion's assessment as of the current evaluation. Detailed head-to-head available under NDA.
Trusted by companies at your bar
Conversion runs the go-to-market stack for public and unicorn companies with strict security and data-integrity requirements. After being burned by under-vetted tools, thorough diligence is the point. Once an NDA is in place, we will connect you with references, including teams that evaluated the AI-native alternatives.
$8b+ fintech running its go-to-market on Conversion under a high security and data-integrity bar, the same profile as an application-security leader evaluating its modern stack.
Frequently asked questions
Every object, field, and action in Conversion is exposed over a first-class API and an MCP server, so an agent in your Claude control center can read state, build a segment, launch a campaign, or pull activity history without a person opening the app. Legacy platforms bolt an API onto a UI-first product, which is why they cannot feed an agentic stack. Conversion is built the other way around, so it delivers MAP fundamentals while your team spends minimal time in yet another interface.
We match the long tail your operations team depends on: campaign-member sync, programs and program members, smart lists and smart campaigns, tokens and dynamic content, forms, landing pages, and event-triggered orchestration, backed by a full activity log and history. This is precisely the parity that AI-native point tools skip, and it is what lets you retire Marketo without losing the plumbing.
Conversion connects to Salesforce with a real-time bidirectional sync of standard and custom objects, and reads Snowflake directly, including lead, activity, and campaign data, with a sub-15-minute sync. It writes results back into Snowflake so reporting lives in one BI spot rather than being trapped in a marketing tool.
Yes. A common entry point is lead scoring alone: stand up a transparent scoring agent on your unified data, prove it against your current tool, then expand to routing, ABM, and full consolidation on your timeline. It replaces the scoring spend you are already planning to cut and builds trust before anything larger.
The right instinct is to centralize on the warehouse and orchestrate with agents, and Conversion sits on exactly that stack. What you should not rebuild is the infrastructure underneath: maintained ad-platform connections, segmentation across millions of contacts, the Marketo parity layer, and a hardened API and MCP surface. Conversion is that layer, managed by a forward-deployed team, so your engineers keep shipping product security instead of maintaining a marketing platform.
All three are AI-native, but Conversion is shipping with enterprise customers today, syncs bidirectionally with your data warehouse, and carries the Marketo long-tail parity that the others lack. Once an NDA is in place we will share head-to-head detail and connect you with teams that evaluated the alternatives and chose Conversion.
Start with lead scoring, prove it before you consolidate
Stand up a transparent scoring agent on your unified data, see the API and MCP surface in action, then expand to ABM, routing, and full Marketo replacement on your timeline.