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Conversion Snyk

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

API and MCP-first

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.

Claude control center

Your team conducts the stack from one agentic surface, not another UI.

headless
MCP MCP / API
Conversion Conversion
API-first MAP
Lead scoring
Routing
Campaigns & sends
Programs & smart lists
Activity log & history
Segmentation at scale

Every object and action exposed over MCP and API. Marketo fundamentals, now callable by an agent.

Flows back to

Snowflake
Salesforce
Ad platforms

Reporting lands in Snowflake, so BI stays in one spot.

Marketo parity

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.

Campaign-member sync
Programs & program members
Smart lists & smart campaigns
Activity log & full history
Tokens & dynamic content
Forms & landing pages
Nurture & drip orchestration
Trigger campaigns on any event
One-to-one ABM

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

Salesforce
Snowflake
Clay enrichment
6sense intent

One record per account.

Conversion

Conversion agent

orchestrating

Custom 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.

Lead scoring

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

A Route to AE now 92
B Nurture, high potential 68
C Hold, low fit 24
One source of truth

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

Unified Contact Record
live
SC

Sarah Chen

VP of Marketing · Acme Corp

Lead Score

0

email [email protected] Salesforce
lifecycle_stage Opportunity Salesforce
annual_revenue $4.2M Snowflake
plan_tier Enterprise Snowflake
active_seats 47 Snowflake
feature_adoption 89% Product
last_active 2h ago Product
intent_segment High-intent buyer AI Agent
How we compare

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.

Proven at scale

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.

Plaid

$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.

FAQ

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.