The platform that inspired RevOps Data Automation

Beneath every great GTM team is a strong foundation of unified customer data.

  • Dooly data sync
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Actualize RevOps ambitions

Go to market as one efficient revenue team

Complete RevOps data automation

When you have customer data that’s accurate and available, you get better alignment, tighter GTM coordination, and more predictable outcomes.

Shared data language

Get all your systems and departments on the same page with data. Syncari’s revenue operations platform allows you to easily stitch disparate systems together into one unified data model in hours, not years.


Aligned metrics and reporting

Keep your departmental and BI reports aligned with consistent, trusted data. Syncari syncs all your top systems for you, in near-real-time, following your data governance rules.

Syncari Insights Dashboard

Automatic data management

Create data policies to clean, augment, enrich, normalize and transform your data. Then, establish a source of truth per field and apply these policies across your entire stack to unlock data consistency everywhere.


Interconnected workflows

Create interconnected revenue processes that flow across systems with drag-and-drop tools and pre-built templates for common RevOps programs like lead-to-account matching, lead routing, and quote-to-cash.

Data Management Sync Studio

Gartner Cool Vendor™

RevOps Data Automation

By 2026, Gartner predicts 65% of B2B sales organizations will transition from intuition-based to data- driven decision making using technology that unites workflow, data and analytics. The fact that you can do all 3 with Syncari is why we believe we were named a 2022 Cool Vendor in the emerging category of RevOps Data Automation.

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Gartner Cool Vendor RevOps Data Automation 2022

Additional Resources

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What is RevOps Data Automation?

RevOps Data Automation refers to the platforms and processes related to unifying customer information and automating workflows related to first party data. Typically, this includes contacts, accounts and other data types across sales, marketing, finance, customer success and product usage systems.

Why do RevOps leaders need data automation?

It’s no secret that RevOps is expected to provide a sea change of meaningful impact to Go-To-Market teams and initiatives everywhere. This new RevOps mandate includes many domains of oversight, from sales processes to revenue reporting, and more frequently, marketing and CS and finance operations. 

However, many RevOps teams are tasked with administering systems like CRM, marketing automation, CS platforms, while only having partial ownership of the global customer data model. Data and product teams often own core components of the customer data model, and this shared oversight makes it difficult for RevOps teams to get the clean, unified customer data they need to move quickly. 

On top of that, many RevOps teams need extreme agility and flexibility with the data and fields they manage. This can be difficult for data teams to support. In most GTM teams, this means the fields ops teams are creating and deploying are only rarely in alignment with the data architecture that is considered approved or central to the organization.

Without a cohesive customer data strategy, GTM teams will suffer from poor data quality and sluggish operationalization of new data-driven initiatives. To solve these needs, RevOps Data Automation is an approach that gives both data teams and RevOps teams a shared space to coordinate, orchestrate, clean and unify customer data.

Who created the RevOps Data Automation category?

Syncari first began using the term RevOps Data Automation to describe itself in 2021. Since then, it has become an officially recognized technology category according to Gartner, and more technology providers have begun using the term.

What is the difference between Customer Data Automation and RevOps Data Automation?

While both categories were created by Syncari, RevOps Data Automation refers to the domain of a specific organization – Revenue Operations. Customer Data can be owned and optimized by other operations teams (Marketing Operations frequently takes charge of unifying customer data), as well as data leaders, heads of technology, and product leaders.