## Segment every record, not just the easy ones.

Keyword-based segmentation leaves a long tail of unclassified records, wrong personas, and missed audiences across every system your GTM motion depends on. Openprise combines rule-based logic with AI to cover the gaps your mapping tables can't reach, at scale, without manual maintenance across Salesforce, Marketo, and your data warehouse.

Your segmentation runs itself

Build your persona logic once in Openprise's no-code rule builder. Every new record that enters your database gets classified automatically across your CRM and MAP, with no manual review and no spreadsheet updates.

AI fills the gaps rules miss

Non-standard titles, multilingual records, and edge cases that break keyword logic all slip through rule-based segmentation. Openprise's hybrid AI approach classifies what your rule sets can't, adding up to a 10% lift on top of your existing coverage.

One logic layer, every system

Stop maintaining separate segmentation logic in Marketo, Salesforce, and a spreadsheet. Openprise runs a single, governed segmentation workflow that writes consistent field values back to every system in your GTM stack.

## Automate segmentation across your full GTM stack

Watch how Openprise assigns personas, normalizes job titles, and classifies records across your full GTM stack — automatically.

## Built for Ops teams running complex automation

Segmentation touches everything: scoring, routing, campaign targeting, buying groups, and reporting. And it has to be consistent across your CRM, MAP, and data warehouse for any of those downstream processes to work correctly. Openprise gives your Ops team a single, auditable segmentation layer that every system in your stack can trust, no matter how fast your database grows.

### Testimonials

"We're doing identity resolution and segmentation in Openprise. Our recipes are much easier to deal with there than going to engineering for opaque Snowflake logic. Doing that with Openprise has really unlocked a lot of things."  
— Mitch Janning, Vimeo

# Replace your Ops stack

You have 30 tools. None of them agrees. Replace the point-solution sprawl with a single platform built for every GTM data workflow your team runs.

## Point Tools

- Limited to single use cases
- Setup time: Weeks
- Workflow complexity: Basic logic only
- Integration coverage: Limited
- Maintenance burden: High
- Coding required
- Expensive scaling
- Vendor lock-in
- Limited customization

## Openprise

- Built for RevOps workflows
- Setup time: Days
- Workflow complexity: Advanced logic included
- Integration coverage: Extensive
- Maintenance burden: Minimal
- No coding required
- Scales with you
- Full flexibility
- Endless Possibilities

# Questions

**How does Openprise segmentation work differently from smart lists in Marketo or workflows in Salesforce?**

Marketo smart lists and Salesforce workflows react to the data that already exists in your system. They don't create or maintain the segmentation fields your campaigns depend on. Openprise runs upstream: it normalizes job titles, assigns personas, classifies industries, and populates the segmentation fields that your MAP and CRM use to build lists and trigger workflows.

**Can Openprise handle segmentation for a global database with records in multiple languages?**

Yes. Openprise's AI-assisted segmentation classifies titles in the original language and assigns the correct job level, role, and persona, and writes that data back to your CRM and MAP.

**What happens when our segmentation logic changes — do we have to rebuild everything?**

No. When your persona definitions change, you update the rules in Openprise's no-code rule builder and re-run the job across your database. Changes propagate in one place.

**How does automated segmentation improve data quality in a data warehouse like Snowflake?**

Openprise runs segmentation as a centralized orchestration job that writes consistent, standardized values back to every system simultaneously.