October 2026 Product Release: Digital Workers, Attribution Enhancements & New Integrations

We're excited to share the latest RevSure product updates for October 2026!

This month, we're introducing new capabilities to help Marketing, Sales, and RevOps teams streamline their workflows, gain deeper insights into revenue performance, and collaborate more effectively.

Key highlights include Digital Workers and Skills, enhanced marketing attribution with Period Filters in Deep Funnel Attribution (DFA), an interactive Attribution Trends Side Panel, and Artifact Export in RevSure Canvas.

We're also expanding our integration ecosystem with Jira, PostgreSQL, and OpenAI Ads, bringing more data and engagement signals into RevSure for a unified view of go-to-market performance.

Digital Workers and Skills

Introducing RevSure Digital Workers and Skills, designed to help go-to-market teams automate repetitive tasks and focus on high-value activities that drive revenue.

Digital Workers take on role-specific responsibilities, from account research and meeting preparation to follow-ups and outreach. Each worker uses Skills, which are packaged AI-powered workflows that leverage RevSure's unified data to analyze information, execute tasks, and deliver actionable outputs.

Instead of building complex workflows, teams can assign jobs to Digital Workers, which execute the relevant Skills and deliver results through familiar channels such as Slack and email.

This enables GTM teams to spend less time on manual activities and more time engaging customers, advancing opportunities, and driving growth.

Deep Funnel Attribution (DFA) – Period Filter

RevSure now supports Period Filters in Deep Funnel Attribution (DFA), bringing the same flexible time-based analysis experience already available in Demand Generation Effectiveness (DGE).

Users can select reporting periods to evaluate how marketing channels and campaigns contribute to funnel-stage generation and leakage across different timeframes.

This enhancement makes it easier to analyze marketing performance over time, identify shifts in channel and campaign contributions, and maintain consistent reporting between DGE and DFA. Marketing teams can compare performance across reporting periods and make more informed decisions about campaign optimization and investment allocation.

Attribution Trends – Side Panel

We've enhanced Attribution Trends with an interactive Side Panel, making it easier to explore the details behind changes in marketing attribution and revenue performance.

Users can select specific data points within attribution trend visualizations to access additional insights without leaving their current dashboard.

The Side Panel enables teams to investigate which campaigns and channels contribute to pipeline and revenue trends, helping them quickly understand performance changes and identify opportunities for optimization.

RevSure Canvas – Artifact Export

RevSure Canvas now supports Artifact Export, making it easier to share and reuse AI-generated insights outside the Canvas workspace.

Users can export generated artifacts, including analytical reports, dashboards, and visualizations, for use in presentations, business reviews, and stakeholder discussions.

With Artifact Export, teams can move seamlessly from AI-powered analysis to business communication, eliminating the need to manually recreate reports or visualizations in external tools.

Jira Integration

RevSure now supports Jira integration, enabling organizations to incorporate customer support tickets and service-management activities into their unified customer engagement data.

Support tickets can be associated with relevant leads, contacts, accounts, and opportunities, providing additional visibility into customer interactions throughout the revenue lifecycle.

By bringing support activity together with CRM and engagement data, teams can analyze unresolved issues, support-ticket volumes, resolution trends, and their relationship with opportunity progression, renewals, and expansion.

This provides Sales, Customer Success, and RevOps teams with a more comprehensive understanding of customer engagement, account health, and potential revenue risks.

PostgreSQL – Data Source and Data Destination

RevSure now supports PostgreSQL as both a Data Source and a Data Destination, enabling organizations to connect their existing database infrastructure with RevSure's revenue intelligence platform.

As a Data Source, PostgreSQL allows teams to ingest structured business data into RevSure and combine it with CRM, marketing, sales, and customer engagement information for unified analytics.

As a Data Destination, PostgreSQL enables teams to write processed, enriched, and modeled data from RevSure back into their databases, making these insights accessible to downstream reporting tools, BI platforms, and operational applications.

This bidirectional integration helps organizations reduce data silos and extend the value of RevSure insights across their existing data ecosystem.

OpenAI Ads Integration

RevSure is expanding its advertising integration capabilities with OpenAI Ads, enabling marketers to incorporate campaign performance and advertising engagement data into their broader marketing analytics.

By bringing OpenAI Ads data alongside other advertising and marketing channels, teams can build a more unified understanding of their campaign performance and customer engagement.

Combined with RevSure's full-funnel attribution and revenue analytics, this integration is designed to help organizations evaluate advertising effectiveness beyond top-of-funnel metrics, connecting marketing activity with lead generation, pipeline development, and revenue outcomes.

This provides marketers with greater visibility into cross-channel performance and supports more informed campaign and budget decisions.