Turn every Tealium signal into the next campaign
The intent, the product usage, and the conversations your team already captures should decide what gets sent next, and the results should be measurable without a second tool. Conversion is the agentic marketing automation platform that puts those signals in one data model, hands the campaign work a small ops team cannot absorb to agents your team approves, and reports attribution on the same data the campaigns run on.
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
When everyone builds in the instance, ops absorbs the risk
Every team in marketing works in the same Marketo instance, operations catches whatever breaks, and the numbers that prove any of it worked come from a tool sitting outside the campaigns. The blast radius of one small mistake is the whole database.
Ops is the company help desk
Demand gen, field, and customer marketing all build in the same instance, and every question and broken build routes to the same short queue. Vendor support is ticket-based, so the answers that would unblock you take days to arrive.
One condition away from everyone
An audience filter with the wrong operator sends to a list nobody intended. Nothing decides which of several triggered emails should win, so the same person gets all of them on the same afternoon.
The context that should drive it is second-class
Marketo's lead-centric model struggles to represent real account hierarchies, and custom objects are read-only in smart lists with limited triggers. Product usage and account health your team already collects cannot drive a campaign.
The campaign work a small ops team can't absorb
Agents triage the intake queue, build audiences from plain-English requests, and QA the send before it goes. Permission-scoped and approval-first, so your team still signs off on everything and every run is auditable.
An agent on the intake queue
MOps Intake picks up the request and comes back with a drafted campaign and audience instead of a blank brief. Your team edits and approves rather than rebuilding from zero every time someone asks.
Pre-send QA on the audience logic
Campaign QA checks the segment conditions, links, and tokens before anything sends. The build that would have gone to the entire database gets caught while it is still a draft.
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
Every signal in one model, ready to act on
Connect Salesforce and Snowflake natively, including custom objects for product usage and account health. Tables and views become usable objects in segments, personalization, and workflow triggers, so the signal that should start a campaign can actually start it.
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
The program structure your reporting depends on
Campaigns work like Marketo programs: member statuses, Salesforce campaign syncing, and hierarchical folder organization all carry over, so channel and program reporting lands where your team expects it. Nurtures, scoring, forms, and landing pages come with it, and so does attribution: multi-touch models from first touch through closed won, on the same data as the campaigns, tied to pipeline and revenue.
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.
The rebuild is the reason teams stay put
Marketo stays live while Conversion runs in parallel. Forward-deployed engineers do the rebuild, not the people already holding the instance together, and nothing cuts 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
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 Tealium'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.
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.
They handle the recurring operational work: ticket intake and triage, audience building from plain-English requests, pre-send campaign QA, list hygiene, and sync monitoring. Every agent is permission-scoped, approval-first, and fully auditable, so your team reviews anything before it ships.
Attribution lives in the platform. Conversion ships reporting and attribution as a product, Mosaic, running on the same data as the campaigns, with multi-touch models from first touch through closed won. Every touch runs through Conversion and syncs to Salesforce, so the models tie straight to pipeline and revenue with no second tool to reconcile against. Campaigns still function like Marketo programs, with member statuses, Salesforce Campaign syncing, and hierarchical folder organization, and performance still breaks down by persona, segment, and lifecycle stage. Your team can also ask in plain language which segments produced pipeline last quarter and what happened to it, which is the question planning turns on.
Yes. 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 Tealium's data?
Book a working session and we'll show Conversion turning your signals into campaigns, agents handling the intake and the pre-send QA, multi-touch attribution on that same data, and the migration plan from Marketo.


