Query Kong's product data without custom objects
Product usage in the warehouse, buying-group activity spread across accounts, and sales conversations that never make it back into a nurture. Conversion is the agentic marketing automation platform that holds all of it in one queryable model, with no CRM custom object gymnastics required.
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 stack you would design today is not the one you run
The programs work. The constraint is what the platform will not let you build next: product data inside campaigns, account-level orchestration, and sales context inside the nurture.
Product data trapped behind custom objects
Getting warehouse product data into Marketo runs through CRM custom objects, and those are read-only in smart lists with limited triggers and rigid relationships. The data exists. The MAP cannot act on it.
A lead-centric model in a buying-group world
Marketo is built around the flat lead record, so people who are not tied to an opportunity are awkward to work with and account hierarchies turn into workarounds. Moving off MQL counting to buying groups means fighting the data model.
Sales signals never reach the nurture
Call outcomes and sales activity live in the CRM, not the MAP, so nurtures keep running as though the conversation never happened. Marketing and sales stay out of sync by default.
The operational work that fills the queue
Agents handle intake triage, audience building from plain-English requests, pre-send QA, list hygiene, and sync monitoring. Everything is permission-scoped and approval-first, so your ops team reviews before anything ships and every run is auditable.
Requests answered, not queued
A request comes in as plain English and an agent builds the audience, drafts the campaign, and runs the pre-send QA. Your team approves the output instead of working through the backlog by hand.
Answers about your own instance
Ask the platform's AI assistant why a person did or did not enter a workflow and get an answer from your data, instead of reconstructing it from records one at a time.
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
Snowflake, Salesforce, and web activity in one query
Connect Snowflake and Salesforce natively, custom objects included, so product usage, account structure, and site behavior are all segmentable in the same place. Account-level querying comes standard, so buying groups are a segment rather than a workaround.
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
Every program you run today, plus the ones you cannot
Campaigns work like programs, with member statuses, Salesforce campaign sync, and hierarchical folders carried across. Workflows cover the same trigger-and-filter logic as smart campaigns, and add triggers from warehouse data, product events, and custom object changes.
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.
Nothing gets rebuilt from scratch
The fear with any migration is starting fresh and losing the program logic you spent years building. Marketo stays live while Conversion runs in parallel, our team moves the work across, and nothing is cut over until it matches the original.
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
DDN
- Valuation
- $11B
- Employees
- 1,600+
- Replaced
- Marketo
Productboard
- Valuation
- $1.7B
- Employees
- 500+
- Replaced
- Marketo
BuildOps
- Valuation
- $1B
- Employees
- 600+
- Replaced
- HubSpot
ACV Auctions
- Ticker
- NYSE: ACVA
- Employees
- 3,200+
- ARR
- $1B
AMCS
- Valuation
- €2B
- Employees
- 1,300+
- Replaced
- Pardot
Veriforce
- Valuation
- $1.2B+
- Employees
- 1,800+
- Replaced
- Pardot & Marketing Cloud
See it running on Kong'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.
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Frequently asked questions
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 the whole way, 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.
Yes. Custom objects are first-class: you can trigger workflows from changes on any object, use any field in Liquid templating and conditional logic, and build segments across objects with deeply nested conditions. Conversion natively supports Account writes, creating people as Contacts instead of Leads, and smart account matching, so account-level orchestration does not require workarounds.
Conversion is the platform the work runs on, not another layer on top of it. Forms, landing pages, email, workflows, scoring, and reporting all operate on the same unified data model, with native warehouse connectivity and product event support built in. Fewer integration points, and less surface area for things to break.
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 Kong's data?
Book a working session and we'll show Conversion querying your Snowflake product data next to Salesforce, agents running the campaign build, and the migration plan from Marketo.