Run LaunchDarkly's buyer lifecycle from one model
Product usage in Snowflake, accounts in Salesforce, intent signals in a third tool, and a lifecycle model your team maintains by hand across all of them. Conversion is the agentic marketing automation platform that holds them in a single model and puts agents on the campaign work underneath.
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 cost of stitching the lifecycle together yourself
Your team already knows where a buyer should sit in the journey. Getting Marketo to see it takes a warehouse model, middleware, and a lot of hand maintenance.
A lifecycle model held together by hand
Journey stages get modeled in the warehouse, then pushed into Marketo through reverse ETL middleware one table at a time. Every new source adds another integration point to maintain, and the single view never quite arrives.
Campaign setup eats the week
List uploads, token updates, program clones, QA passes. Marketo can do all of it, but only manually, so the recurring work expands to fill the team and the overflow gets handed to outside resources.
Post-sale marketing never gets built
Nearly all of the throughput goes to pre-sales demand. Onboarding, adoption, and renewal motions stay on the roadmap because there is no capacity left to build them.
The campaigns your team never gets to
Agents take the recurring build work: audiences from plain-English requests, campaign drafts, pre-send QA, and list hygiene. Permission-scoped and approval-first, so your ops leads review everything before it ships and every run leaves an auditable artifact.
Request in, finished campaign out
A request arrives in plain English and an agent builds the audience, drafts the campaign, and runs the pre-send QA. Your operations leads review and approve instead of clicking through the build.
Post-sale motions that start themselves
When usage in your warehouse drops or an account goes quiet ahead of renewal, an agent picks up the signal, drafts the play, and routes it for review. Lifecycle work stops depending on someone having a free week.
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 the signals in between
Connect Snowflake and Salesforce natively, custom objects included, so product usage, account structure, and lifecycle stage sit in one context layer. Segment and trigger on any of it without a reverse ETL pipeline in the middle.
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 your Marketo instance runs today
Programs, smart lists, nurtures, scoring, forms, and event promotion all carry across, with workflows covering the same trigger-and-filter logic. A mature instance is not a reason to stay, because nothing you run today gets left behind.
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.
Marketo is woven through everything. We plan for that.
Marketo stays live while Conversion runs in parallel. Our team handles the move; yours keeps shipping campaigns the entire time.
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 LaunchDarkly'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
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.
Underneath them. Agents handle the recurring operational work: audience building from plain-English requests, pre-send campaign QA, list hygiene, intake triage, and sync monitoring. Every agent is permission-scoped, approval-first, and fully auditable, so nothing ships until your team reviews it.
Marketo's AI today is predictive scoring through Adobe Sensei. It does not build the segment, draft the campaign, QA the send, or route the leads, and it cannot reach your warehouse without middleware. Conversion's AI is embedded across the platform instead of bolted on, working against your Salesforce and warehouse data from day one.
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 LaunchDarkly's data?
Book a working session and we'll show Conversion holding your lifecycle model in one place, agents running the campaign build, and the migration plan from Marketo.