Bring Docker's AI mandate to marketing operations
Engineering and sales already run on AI. Marketing operations is still building lists by hand and waiting on middleware for warehouse data. Conversion is the agentic marketing automation platform that unifies Salesforce and Snowflake, then puts agents on the campaign work.
75%
reduction in MOps time spent on recurring work
10x
faster campaign-to-launch cycle time
4 weeks
average migration, running in parallel with Marketo
SOC 2
Type II certified, with approval-first AI agents
The last function still doing it by hand
Every other team at a product-led company has picked up real AI leverage. Marketing operations is still working around a platform built before the modern data stack existed, and the lifecycle tools offered as the replacement cover the sends without covering the measurement.
AI that stops at scoring
Predictive lead scoring returns a number. It doesn't build the segment, draft the campaign, QA the send, or route the lead. Each of those still costs your team a person and a day.
Warehouse data behind a middleware tax
Product usage and account data live across Snowflake. Marketo has no native warehouse integration, so activating any of it means a reverse ETL tool, engineering effort, and another contract to manage.
Custom objects are second-class
Read-only in smart lists, limited triggers, rigid relationships. A lead-centric model struggles to represent multi-product usage, so the cross-sell signal never becomes an audience.
Your MOps team stops being the bottleneck
Agents take the recurring build work: audiences from plain-English requests, drafted campaigns, pre-send QA, list hygiene, intake triage, and sync monitoring. Approval-first and permission-scoped, so your operators review and approve rather than assemble.
Operators manage agents, not queues
The repetitive work moves to agents. The people who know your programs best spend their time on the campaigns that need judgment, and every agent run still waits on their approval.
Cross-sell plays that build themselves
When usage in one product points at demand for another, an agent assembles the audience and drafts the campaign for review. The signal turns into a send instead of a slide.
MOps Intake
Campaign QA
Weekly Performance Digest
Deliverability Watch
Audience Builder
Lead Routing
List Hygiene
Pipeline Reporter
Sync Watchdog
Account Brief Writer
MOps Intake
Campaign QA
Weekly Performance Digest
Deliverability Watch
Audience Builder
Lead Routing
List Hygiene
Pipeline Reporter
Sync Watchdog
Account Brief Writer
Lifecycle Stage Mover
MQL to SDR Handoff
Subject Line Optimizer
Send Time Optimizer
Webinar Follow-Up
Intent Signal Watcher
Churn Risk Notifier
Re-engagement Wrangler
Localization Agent
Nurture Gap Finder
Lifecycle Stage Mover
MQL to SDR Handoff
Subject Line Optimizer
Send Time Optimizer
Webinar Follow-Up
Intent Signal Watcher
Churn Risk Notifier
Re-engagement Wrangler
Localization Agent
Nurture Gap Finder
MOps Intake
Campaign QA
Weekly Performance Digest
Deliverability Watch
MOps Intake
Campaign QA
Weekly Performance Digest
Deliverability Watch
Audience Builder
Lead Routing
List Hygiene
Pipeline Reporter
Audience Builder
Lead Routing
List Hygiene
Pipeline Reporter
Sync Watchdog
Account Brief Writer
Lifecycle Stage Mover
MQL to SDR Handoff
Sync Watchdog
Account Brief Writer
Lifecycle Stage Mover
MQL to SDR Handoff
Subject Line Optimizer
Send Time Optimizer
Webinar Follow-Up
Intent Signal Watcher
Subject Line Optimizer
Send Time Optimizer
Webinar Follow-Up
Intent Signal Watcher
Churn Risk Notifier
Re-engagement Wrangler
Localization Agent
Nurture Gap Finder
Churn Risk Notifier
Re-engagement Wrangler
Localization Agent
Nurture Gap Finder
Approval-first · Permission-scoped · Auditable · SOC 2 Type II
Several Snowflake databases, one customer view
Connect Snowflake and Salesforce natively, custom objects included, so product usage, entitlements, and account hierarchy resolve into one context layer. Salesforce stays exactly where it is and stays the system of record.
Salesforce
System of record
Conversion
Execution layer
Bidirectional
Configurable conflict resolution
Campaign sync
Members, statuses, and lead assignment
Custom objects
Standard and custom Salesforce objects
Audit trail
Detailed change history on every sync
Connects natively to your stack
Everything Marketo runs today, plus the lifecycle layer
Programs, nurtures, scoring, forms, landing pages, asset hosting, and bi-directional Salesforce Campaign sync all carry over, with attribution shipped as a product on the same data: multi-touch models from first touch through closed won, broken down by persona, segment, and lifecycle stage. The lifecycle and usage-driven sends that never had a home get built on the same data model, so nothing has to move to a second tool that cannot hold custom objects or report on pipeline.
Dynamic Email Studio
Drag-and-drop builder with live CRM and warehouse fields. Hyper-personalize every message with dynamic content blocks.
Query Engine & Segmentation
Trigger workflows from CRM changes, product events, and enrichment data. Build audiences with a powerful query builder.
Campaigns & Folders
Organize and manage campaigns at scale with folders, tagging, and team collaboration.
Real-Time Workflows
Visual workflow builder with branching, delays, and AI-powered actions that trigger in real time.
Forms & Pages
Build branded forms and landing pages that feed directly into your workflows. No need for separate tools.
CRM Sync & Auditing
Enterprise Salesforce sync with bidirectional updates, conflict resolution, and full audit logs.
Reporting
Campaign performance tied to pipeline and revenue by persona, segment, and lifecycle stage.
Liquid Templating
Advanced personalization with Liquid syntax for conditional content, loops, and dynamic blocks.
A/B Testing
Test subject lines, content, send times, and workflows to optimize every touchpoint.
RBAC Controls
Fine-grained role-based access control for teams. Enterprise-grade permissions.
Moving without stalling the roadmap
Marketo stays live while Conversion runs in parallel. Our team handles the move, yours keeps shipping campaigns, and the average migration is about four weeks.
Forward-deployed engineers run it
FDEs migrate your workflows, lists, templates, and scoring models, then QA every component before anything goes live.
About 1-2 hours a week from your team
For roughly three weeks. That's the full time commitment while the migration runs in the background.
Parallel run, zero downtime
Nothing is cut over until every workflow has been verified against the Marketo original. No dark period, no lost sends.
A team that stays embedded
Deployment strategists work inside your marketing org through launch and beyond, with structured workshops in the first weeks and as many as your team wants after.
Used by MOps teams replacing Marketo, Pardot, and HubSpot.
ClickHouse
- Valuation
- $15B
- Employees
- 500+
- Replaced
- Marketo
Plaid
- Valuation
- $8B
- Employees
- 1,500+
- Replaced
- Marketo
Webflow
- Valuation
- $4B
- Employees
- 1,500+
- Replaced
- Iterable
Veriforce
- Valuation
- $1.2B+
- Employees
- 1,800+
- Replaced
- Pardot & Marketing Cloud
Productboard
- Valuation
- $1.7B
- Employees
- 500+
- Replaced
- Marketo
ACV Auctions
- Ticker
- NYSE: ACVA
- Employees
- 3,200+
- ARR
- $1B
AMCS
- Valuation
- €2B
- Employees
- 1,300+
- Replaced
- Pardot
See it running on Docker's data
Book a working session with our team. We'll tailor the demo to your stack and show you exactly how the migration would run.
Thanks for filling out the form, we'll be in touch soon!
Frequently asked questions
About 1-2 hours a week for roughly three weeks. Every migration is led by a dedicated deployment strategist, with forward-deployed engineers moving your programs, smart lists, email templates, and scoring models. The average timeline is about four weeks, running in parallel with Marketo, and nothing is cut over until it has been verified against the original.
Yes. Conversion connects natively to Snowflake, BigQuery, Databricks, Redshift, and PostgreSQL. Tables and views become usable objects in the platform: available in segments, personalization, and workflow triggers, alongside your Salesforce custom objects. Marketing ops configures it in the UI, no engineering tickets required.
Inflection is a credible product for product-led lifecycle messaging, with clean builders and fast onboarding. It is not a full MAP. There are no custom objects from Salesforce or the warehouse, so multi-product usage and entitlements have nowhere to live. There are no landing pages and no asset hosting. Reporting stops at email and journey engagement, with no attribution model, no pipeline or revenue reporting, and no report builder, so measurement means exporting to your warehouse and building it in Looker, Tableau, Power BI, or Hex. Salesforce Campaigns, Accounts, and Opportunities are read-only, with no Programs equivalent for tokens, assets, or duplication. Conversion replaces Marketo end to end and adds warehouse-native custom objects, attribution as a product called Mosaic, and agents on the same platform.
Agents take the recurring operational work: ticket intake and triage, pre-send campaign QA, list hygiene, audience building from plain-English requests, and sync monitoring. Every agent is permission-scoped, approval-first, and fully auditable, so your team reviews anything before it ships. They stay in control of the work and stop doing the parts nobody wanted.
No. The platform is built for marketing operations teams at enterprise companies, but common tasks like building emails, creating segments, and launching workflows are straightforward. Teams evaluating both consistently tell us Conversion is more capable without being harder to use.
Ready to see it on Docker's data?
Book a working session and we'll show Conversion joining your Snowflake data to Salesforce, agents drafting the campaigns your team builds by hand, and the migration plan from Marketo.