Run Benchling's lifecycle programs off real product usage
The signals that should start a lifecycle email live in your warehouse, and getting them into a campaign means new fields and workarounds every time. Conversion is the agentic marketing automation platform that reads product activity as it already exists, then puts agents on the drafting and segmentation one lifecycle marketer cannot cover alone.
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 lifecycle programs your MAP was never built for
The asks keep getting more responsive and more intelligent. Marketo answers each one with another field, another workaround, or another tool bolted on top.
Product data means new fields
There is no native warehouse integration, so triggering a send off product usage means flattening that data into contact fields first or wiring a trigger in from somewhere else. Every new signal adds a field nobody wants to own.
Segmentation that will not bend
A persona by product matrix does not fit a flat lead model. Custom objects are read-only in smart lists with limited triggers, so the segment you want gets approximated or dropped.
One lifecycle marketer, the whole GTM team
Programs queue behind the one person who can build them, so volume wins and personalization waits. The information exists, it just is not organized well enough to personalize from.
Make one lifecycle marketer operate like a team
Agents draft the copy, build the audiences, and QA the send before it goes out. Approval-first, so your team reviews everything, and every run leaves an auditable record.
Drafts waiting, not blank briefs
A request lands with a drafted campaign attached: copy, audience, and workflow ready for review. Your lifecycle marketer edits and approves instead of building each one from zero.
Segments described in plain English
Say which persona and product mix you want to reach and an agent builds the audience across CRM, warehouse, and behavioral data. AI nodes reason over that full context to set fields and pick the next step, so personalization stops waiting on a perfectly clean database.
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
Product activity joined to the record, without new fields
Conversion connects natively to Snowflake and Salesforce, custom objects included. Product events, account context, and behavioral signals stay as objects and events you can segment and trigger on, instead of hundreds of flattened contact fields.
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
A full MAP, so you are not stacking a second one
Campaigns, nurtures, forms, scoring, email, and the enterprise Salesforce sync your programs depend on, all on one data model. Bolting a lifecycle tool on top of the MAP means two platforms and two sets of data to reconcile later.
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.
Moving off Marketo without a six month project
This is the objection we hear most, so we do the work. Marketo stays live while Conversion runs in parallel, and the ask on your team 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
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 Benchling'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, Marketo runs in parallel the entire way, and the time commitment on your side is roughly one to two hours a week. 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. No flattening into contact fields, and marketing ops configures it in the UI.
The recurring operational work: audience building from plain-English requests, pre-send campaign QA, list hygiene, ticket intake and triage, and sync monitoring. Agents also draft campaigns and copy for review. Every agent is permission-scoped, approval-first, and fully auditable, so your team signs off before anything ships.
Conversion is SOC 2 Type II certified and GDPR compliant, with role-based access control, granular per-field sync rules, and full audit logging on every sync event. Agents are permission-scoped and approval-first, so they act only within the access your team grants and every run is recorded.
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 Benchling's data?
Book a working session and we'll show Conversion triggering lifecycle sends off warehouse product data, agents drafting the persona versions, and the migration plan from Marketo.