Put Veeam's Databricks data to work in campaigns
Propensity models, scores, and product data sit in the warehouse with no route into the MAP. Conversion is the agentic marketing automation platform that connects Databricks directly to campaign execution, then puts agents on the segment-by-segment personalization nobody has time to hand-build.
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
A warehouse full of signal, a MAP that can't read it
The models and the scores are already built. The constraint is the last mile: getting them into an audience, an email, and a workflow without standing up a middleware project first.
Databricks data never reaches campaigns
Marketo has no native warehouse integration. Activating propensity scores, product events, or usage data means a reverse ETL tool, engineering effort, and another contract to manage, so most of it never gets activated at all.
Personalization stops at the segment count
Building a vertical-specific version of a campaign costs about what the original cost. The segments are easy to name. The permutations are what nobody has the hours to build.
Agents multiplying without a console
Any team can stand up its own agent now. What's missing is one place to see what ran, what it produced, and who approved it. Unmanaged agents become another queue to inspect.
Agents with a console, not a science project
Every agent runs inside the platform where your workflows, audiences, and sends already live. Permission-scoped, approval-first, and fully auditable, so you can see what ran and who signed off without anyone becoming a prompting expert.
Personalization by segment, drafted for you
Ask for a version of a campaign built for a specific vertical and an agent drafts the audience and the copy inside your guardrails. Your team reviews and approves instead of rebuilding each variant by hand.
Visible runs, human approval
Agents handle audience building from plain-English requests, pre-send campaign QA, list hygiene, intake triage, and sync monitoring. Nothing ships without review, and every run leaves an auditable record.
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
Databricks joined to Salesforce, inside the platform
Connect Databricks and Salesforce natively, custom objects included. Tables and views become usable objects: available in segments, personalization, and workflow triggers. Marketing ops configures it in the UI, with no engineering tickets and no reverse ETL layer to maintain.
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
One place to orchestrate, not one more tool
Email, workflows, forms, landing pages, scoring, campaigns, and reporting tied to pipeline, all on the same data model. Everything your Marketo instance runs today carries over, and the warehouse-driven work joins it instead of living in a side system.
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.
A migration your IT team doesn't have to staff
Marketo stays live while Conversion runs in parallel. Our engineers handle the move and the QA, and the ask on your side is about one to two hours a week.
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 Veeam'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
Conversion connects natively to Databricks, Snowflake, BigQuery, 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.
The agents ship with the platform and run where your data, workflows, and sends already are. They handle 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 there is no separate console to build or keep running.
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 the commitment from your side is roughly 1-2 hours a week for about three weeks.
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 Veeam's data?
Book a working session and we'll show Conversion pulling warehouse data into a live audience, agents drafting the segment-by-segment versions, and the migration plan from Marketo.