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Conversion Anaplan
Built for the Anaplan marketing team

Give Anaplan's marketers segmentation without a ticket

Some of the data sits in Salesforce, some stays in the MAP, and some only exists in your signal tools. Conversion is the agentic marketing automation platform that brings them into one model, then lets your team segment on any field without waiting in a queue.

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 challenge

What a mature Marketo instance still cannot do

Your programs are dialed in and your process is tight. The limits now come from the data model underneath them and the queue you wait in when something breaks.

Segments your team cannot build alone

The fields you need to segment on are not the fields the model exposes. Custom objects are read-only in smart lists and filters barely nest, so an audience a marketer can describe in one sentence turns into a request for somebody else.

Debugging by ticket, answered in days

When records do not land where they should, someone rebuilds the story by clicking through activity history. The vendor answer arrives on a ticket queue measured in days, with no channel to a person who knows your instance.

A point tool for every gap

Email building, event pages, routing, and dedupe went to separate contracts because the editors in Marketo are dated. Every tool added is another license to ration and another place your data lives.

Conversion Agents

The intake queue takes the first pass itself

Agents triage requests, build the audience or the list change, and watch the syncs so a failure surfaces before a marketer notices. Approval-first and permission-scoped, so your team signs off on everything and every run leaves an auditable artifact.

Requests answered before they queue

A request lands, an agent reads it, drafts the audience or the campaign, and routes it back for review. Your team approves instead of starting from a blank screen, and the SLA stops being measured in days.

Syncs that explain themselves

Agents monitor the Salesforce sync and surface what failed, on which record, with full audit logging behind it. Ask what happened to a person and get an answer instead of a click path through history.

When a ticket lands

MOps Intake

Before each send

Campaign QA

Every Friday at 4pm

Weekly Performance Digest

Every 30 minutes

Deliverability Watch

When you ask

Audience Builder

When a new lead arrives

Lead Routing

Daily at 2am

List Hygiene

Every Monday at 9am

Pipeline Reporter

Continuously

Sync Watchdog

When you ask

Account Brief Writer

When a ticket lands

MOps Intake

Before each send

Campaign QA

Every Friday at 4pm

Weekly Performance Digest

Every 30 minutes

Deliverability Watch

When you ask

Audience Builder

When a new lead arrives

Lead Routing

Daily at 2am

List Hygiene

Every Monday at 9am

Pipeline Reporter

Continuously

Sync Watchdog

When you ask

Account Brief Writer

Continuously

Lifecycle Stage Mover

When a lead qualifies

MQL to SDR Handoff

When you draft an email

Subject Line Optimizer

Before each send

Send Time Optimizer

After each webinar

Webinar Follow-Up

Every hour

Intent Signal Watcher

Daily

Churn Risk Notifier

Monthly

Re-engagement Wrangler

When you ask

Localization Agent

Weekly

Nurture Gap Finder

Continuously

Lifecycle Stage Mover

When a lead qualifies

MQL to SDR Handoff

When you draft an email

Subject Line Optimizer

Before each send

Send Time Optimizer

After each webinar

Webinar Follow-Up

Every hour

Intent Signal Watcher

Daily

Churn Risk Notifier

Monthly

Re-engagement Wrangler

When you ask

Localization Agent

Weekly

Nurture Gap Finder

Approval-first · Permission-scoped · Auditable · SOC 2 Type II

The data layer

Every field queryable, not just the ones you mapped

Salesforce standard and custom objects are first class, account and signal data sits beside them, and native connections to Snowflake, BigQuery, Databricks, Redshift, and PostgreSQL are ready when you want warehouse data in the same place. Segment across all of it without flattening anything into a lead field first.

Salesforce

System of record

Lead.Status updated 2s ago
Account.Industry synced 5s ago
Opportunity.Amount changed 8s ago
Campaign.Members added 12s ago
Contact.Email verified 15s ago
Opportunity.Stage progressed 18s ago
Lead.Status updated 2s ago
Account.Industry synced 5s ago
Opportunity.Amount changed 8s ago
Campaign.Members added 12s ago
Contact.Email verified 15s ago
Opportunity.Stage progressed 18s ago
Conversion

Conversion

Execution layer

0 records synced today avg latency <2s

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

Salesforce Snowflake BigQuery Databricks Redshift PostgreSQL
MAP parity

Nothing your campaign ops team runs today gets left behind

Programs, member statuses, Salesforce campaign sync, scoring, nurtures, event promotion, and the folder structure that keeps a large instance sane. The team closest to the daily work keeps its process. What changes is how long each piece takes.

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 migration

Built for a team that does not rush change

Marketo stays live while Conversion runs in parallel. Our team does the moving and checks every component against the original, so parity is something you verify rather than something you take on faith.

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.

See it running on Anaplan'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.

FAQ

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. Salesforce custom objects are first-class in Conversion, with workflow triggers, Liquid access, and nested conditional logic, and Conversion connects natively to Snowflake, BigQuery, Databricks, Redshift, and PostgreSQL. Tables and views become usable objects available in segments, personalization, and workflow triggers. 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.

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 Anaplan's data?

Book a working session and we'll show Conversion segmenting on fields your MAP will not expose, agents taking the first pass at the intake queue, and the migration plan from Marketo.