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Meet Conversion Agents.

Agents handle tickets, QA, reports, and campaign builds on a schedule, on a trigger, or whenever you ask in chat.

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Used by teams replacing Marketo, Pardot, and HubSpot.

Veriforce
Plaid
GovWell
Adaptive
MyOutDesk
Hostfully
People Data Labs
Guidebook
R-Zero
Momos

Marketing automations, finally automated.

Agents run on a trigger, on a schedule, or whenever you ask. Same context, same approval model, three modes of work.

Autonomous agents

Builds and ships campaigns.

Agents read briefs, draft campaigns and audiences, and prep every asset for review. You approve, it ships. The recurring work moves off your team's plate and onto a trigger.

Chat agents

Answers questions with full context.

Ask in plain English. The agent pulls from your CRM, warehouse, and brand context to answer with the data behind it, not generic suggestions. Iterate in chat until it's right.

Scheduled agents

Reports on its own.

Configure the cadence, audience, and metrics once. Every Friday, or every hour, the agent pulls the numbers, surfaces wins and anomalies, and posts the recap to Slack.

Live Context

Knows your Salesforce, warehouse, brand, Slack, Asana, campaigns, leads, accounts, assets, playbooks.

Works where your team already works. Every chat, every scheduled run starts from the same shared context — your data, your brand, your stack.

CRM

Every Salesforce object, campaign, and custom field, read the way your ops team reads it.

Warehouse

Snowflake, BigQuery, and other warehouses. Product usage, billing, and tables available in plain English.

Brand

Voice, visual system, approved patterns, and historical assets. Agents draft in your team's tone.

Semantic search

Find any audience, asset, or insight by intent, not by exact keyword or filter chain.

Pattern recognition

Agents learn what's converting, surface anomalies, and flag the moments worth your attention.

Connected tools

Slack, Asana, Salesforce, your warehouse. Agents act across your stack, not in isolation.

Trust & governance

Nothing ships without your sign-off.

Every agent run produces an artifact for review. Your operators stay in control. Your security team can sign off.

Approval-first

Every output is an artifact. Nothing ships, syncs, or sends until a human reviews and approves it.

Permission-scoped

Each agent has explicit read/write access per object. Tighter scope, fewer surprises.

Auditable

Every run is logged: inputs, reasoning, tool calls, outputs. Replay any decision the agent made.

Enterprise compliant

SOC 2 Type II and GDPR ready. Your data is never used to train shared models.

The Autonomous MAP

Legacy MAPs gives you levers. Conversion pulls them for you.

Intake, QA, deliverability, reporting. All the work that quietly eats your team's day now happens in the background. They get to focus on what moves the needle.

Legacy MAP

Conversion

Their AI writes you a subject line

Conversion Agents draft the campaign, QA it, send it, and report on it

Workflows fire on if/then rules you wrote a year ago

Agents reason about each lead with the context that exists right now

Every request starts from a blank brief

Every request lands with a drafted campaign attached

A broken UTM is discovered Monday morning, after the send

Campaign QA catches it before a single email leaves the queue

New use case = a workflow build, a QA cycle, and a sprint

New use case = describe it in chat, ship it in minutes

AI is a chat widget bolted onto a 15-year-old platform

Agents are the operating layer of the platform itself

Every time we dig into the platform, we find another use case worth building. It's not just solving the priorities I came in with, it's expanding what we can reasonably take on this year.

Jason Ginsberg

Head of Marketing, GovWell

75%

Reduction in MOps time spent on recurring work

10×

Faster campaign-to-launch cycle time

4wk

Avg. migration time using agents

FAQ

Common questions

Everything an enterprise marketing ops leader wants to know before bringing agents into the stack.

Yes. Conversion exposes an MCP server so Claude Desktop, Cursor, or any MCP-aware client can reach your audiences, campaigns, and context layer directly. Agents you build inside Conversion are callable from anywhere that speaks MCP.

Legacy MAPs added a chat sidebar to a 15-year-old product. Conversion was built so agents can run the work themselves, on triggers, with permission-scoped access to your CRM and warehouse. You're not asking a chatbot for suggestions, you're configuring a teammate.

An agent is the easy part. The platform underneath it is where the work actually lives, along with the sheer scale of data it has to reason over. MAPs operate on tens of millions of customer records and billions of behavioral events, volumes a standard LLM call can't touch. Conversion gives you both: the platform itself, with the email builder, audience builder, campaign engine, and reporting your team needs to actually ship the work, plus the layer that makes agents safe to run on top of it. Context that already knows your CRM and warehouse, a data layer that lets agents query and act on warehouse-scale data without hallucinating, approval queues your operators can actually use, audit logs your security team will sign off on, and permission scoping per object. It's the difference between a script that calls an LLM and a MAP built for agents from day one.

Yes, when you grant it permission. Each agent has an explicit tool scope you define when you set it up. Read-only by default. If you want an agent to update contacts or create tasks, you grant that specific scope and audit the runs.

Nothing ships, syncs, or sends until you approve it. Every run produces an artifact: the inputs, the reasoning, the tool calls, and the proposed output. You reject what's off, and the run stays in the audit log so you can replay any decision the agent made.

Whatever you connect: Salesforce objects, your warehouse tables, your brand assets, your Conversion data. The agent operates inside your tenant. We never train shared models on your data.

Agents are included in every Conversion Enterprise plan. Talk to sales for a quote tailored to your team's volume.

See agents at work.

Book a walkthrough. We'll show you a real campaign built from a Slack brief, and a team of agents running in the background.

Book a demo