Tool profileConversion
Warehouse-native B2B marketing automation aimed at replacing Marketo
Conversion is B2B marketing automation that treats the data warehouse as a first-class source rather than an export destination, with Salesforce sync and AI agents. It is a young product sold through a demo-led process with no published pricing, and adopting it means migrating off an incumbent platform.
Visit ConversionIs Conversion worth it?
- What it is
- Warehouse-native B2B marketing automation aimed at replacing Marketo
- Worth a look if
- You run Snowflake or BigQuery and want B2B segmentation on warehouse data with bidirectional Salesforce sync.
- Skip it if
- You have no data warehouse, since the architectural advantage does not apply, or you need a large implementation partner ecosystem.
- Cost to start
- Not published. Demo-led sales process. No. None published.
Conversion at a glance
| Job category | Automation and Lifecycle |
|---|---|
| What it replaces | Marketo or Pardot running on a synced copy of your data |
| Pricing model | Paid only |
| Starting price | Not published. Demo-led sales process. |
| Free tier | None published. |
| Getting started | Sales contact required |
| Built for | B2B teams whose Marketo or Pardot instance costs more in maintenance than it returns |
| Company | Not published |
| Last verified | August 2026 |
Conversion pricing and plans
Conversion does not publish pricing. Not published. Demo-led sales process. None published.
- No pricing is published and the site has no pricing page. The sales process is demo-led.
- Product documentation lives at docs.conversion.ai. A separate support subdomain carries a pricing and billing article describing plans for an unrelated product, so check which site you are reading before relying on a commercial term found there.
No public pricing. For a replacement platform, budget migration and a parallel running period alongside the licence, since both routinely exceed the software saving in year one.
Conversion features: what it does
- Native Snowflake and BigQuery integration means segmentation runs on warehouse data rather than a stale synced copy
- Bidirectional Salesforce sync rather than one-way push, which is where most B2B automation integrations disappoint
- A flexible data model with custom objects handles B2B relationships that contact-and-list systems force you to fake
- SOC 2 Type II certification and role-based access controls are present rather than promised
Conversion limitations
- No pricing published, so cost cannot be assessed without a sales process
- Replacing an incumbent automation platform is a migration whose hard part is archaeology rather than configuration
- AI agents for tickets, QA and campaign builds are described without stating what they do autonomously versus with approval
- Customer references are mostly mid-sized technology companies, so fit outside that profile is harder to assess
Who Conversion is for
| Your situation | What that means here |
|---|---|
| B2B team maintaining a costly Marketo instance | The product is explicitly positioned against maintenance burden that exceeds the return. |
| Company with Snowflake or BigQuery | Segmentation runs on warehouse data directly rather than on a stale synced copy. |
| Salesforce-centric organisation | Bidirectional sync rather than one-way push, which is where most B2B automation integrations disappoint. |
| Team without a data warehouse | The main architectural advantage does not apply, so you are buying a young platform for no structural gain. |
| Company needing implementation partners | A large partner ecosystem does not exist yet, and migrations are where that hurts. |
| Buyer shortlisting on price | Nothing published, so cost requires a sales process. |
Conversion use cases for marketers
- B2B lifecycle and nurture programmes segmented directly against warehouse data rather than a stale synced list.
- Sales and marketing handoff, using bidirectional Salesforce sync rather than a one-way push.
Conversion FAQ
Why does warehouse-native segmentation matter?
The alternative is a stale copy. Traditional automation holds its own contact database and syncs on a schedule, so segments disagree with analytics. Querying Snowflake or BigQuery directly removes that argument.
How should I budget a migration from Marketo?
For archaeology more than configuration. Rebuilding campaigns is tractable; establishing what the old system actually does is not. Budget a parallel running period rather than a clean cutover.
What do the AI agents do on their own?
Not stated. Agents for tickets, QA, reporting and campaign builds could draft for approval or act directly. Ask what each can do unsupervised, and what the audit trail shows afterwards.
Conversion sources and references
- Conversion describes an AI-native B2B marketing automation platform positioned to replace Marketo, Pardot and HubSpot, with agentic marketing automation unifying CRM and warehouse data, AI agents for tickets, QA, reporting and campaign builds, a flexible data model with custom objects and relationships, a dynamic email studio, query engine and segmentation, real-time workflows, forms and landing pages, bidirectional Salesforce sync, campaign reporting tied to pipeline and revenue, Liquid templating, A/B testing and role-based access controls. It integrates with Salesforce, Snowflake, BigQuery and Marketing Cloud, states SOC 2 Type II certification with GDPR compliance, and names customers including ClickHouse, Plaid, Productboard and ACV Auctions. No pricing is published.conversion.ai
- Conversion publishes product documentation at docs.conversion.ai, including a webinar platform sync that flows registrations and attendance into Conversion automatically.docs.conversion.ai
Compiled by Alston Antony from the sources above:how we compile these entries and ouraffiliate disclosure.