Product Releases

March 2026 Product Release: Email Intelligence, Buyer Persona Modeling, Agentic Workflows & Unified Data Expansion

This release advances RevSure’s evolution as the system of intelligence for modern GTM teams by expanding engagement signal capture, strengthening data unification, and introducing more proactive, AI-driven execution. With email intelligence from Google Workspace, Redshift ingestion, buyer persona modeling, and expanded agentic workflows, teams gain deeper context, clearer prioritization, and more consistent execution across the revenue lifecycle.

RevSure Team
March 31, 2026
·
6
min read

March builds on our foundation of unified GTM intelligence by improving how signals are captured, structured, and activated. These updates are designed to enhance visibility into buyer behavior, strengthen data completeness, and enable teams to move from insight to action with greater speed and precision.

Explore what’s new this month:

  • Google Workspace Email Intelligence
  • Buyer Persona Model
  • Redshift Data Source
  • Scheduled AI Report Generation
  • Opportunity Tags
  • Meeting Intelligence
  • RevSure MCP Enhancements
  • Agentic Workflows (Prospecting Agent, Email Sequences)
  • Apollo Enrichment
  • Dimension & Metric Grouping
  • AI Summary for Top Factors

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What’s New This Month

Google Workspace Integration: Email Intelligence

RevSure extends its Google Workspace integration to email, converting inbox interactions into structured engagement signals tied to accounts, opportunities, and pipeline activity. With configurable controls such as Target Account List (TAL) mapping and automated lead/account creation, teams can ensure high-value interactions are captured and operationalized.

To access:
Data Hub → Sources → Google Workspace

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Buyer Persona Model

RevSure introduces Buyer Persona Model to standardize stakeholder identification across the buying process. Contacts are automatically classified into roles such as Champions, Economic Buyers, and Gatekeepers using job titles, seniority, department, and semantic matching logic. Flexible configuration supports accurate mapping across diverse organizational structures.

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Redshift Data Source

RevSure now supports Amazon Redshift, enabling direct ingestion of large-scale, structured data into the RevSure data model. This allows teams to unify warehouse data with GTM signals, improving data completeness and enabling deeper pipeline and revenue analysis.

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Scheduling of AI-Based Report Generation

Teams can now automate the delivery of AI-generated insights from dashboards via Email or Slack. Reports can be scheduled daily, weekly, or monthly, with a centralized “Manage Reports” interface to view, edit, pause, or download reports as needed.

To access:
Marketing Performance → AI Summary → Share

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Opportunity Tags

RevSure extends custom tagging to opportunity prioritization, enabling teams to apply business-defined logic across active deals. Tags such as High Engagement, Fast Moving, or At Risk can be created by combining multiple signals into structured labels, ensuring consistent prioritization and improved deal visibility.

To access:
Pipeline Acceleration → Opportunity Prioritization

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Meeting Intelligence

RevSure enhances meeting analysis by integrating with platforms such as Gong and Goodmeetings to extract key insights including topics discussed, pain points, and competitors mentioned. It also derives MEDPICC scores at the account and opportunity level based on historical meeting data, providing structured visibility into deal quality and progression.

Meeting intelligence is available within the journey timeline across leads, accounts, and opportunities.

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RevSure MCP Enhancements

RevSure MCP Server expands access to the platform’s unified GTM data layer, enabling AI agents and applications to power natural language analysis, pipeline insights, attribution reporting, prospecting workflows, and real-time activation. Additional tools are now exposed across Visitors, Leads, Accounts, Opportunities, Campaigns, Journeys, and Funnel Health.

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Agentic Workflows

Prospecting Agent

The prospecting agent enables users to identify target prospects through natural language queries and enrich them with intent and engagement signals from LinkedIn and other sources. It also recommends next-best actions and outreach messaging, allowing prospects to be saved, synced to CRM/MAP systems, and activated through outreach workflows.

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Email Sequences

RevSure email agents can generate multi-step sequences based on custom prompts, ensuring each message is personalized using full-funnel context and engagement signals.

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Apollo Enrichment

RevSure now supports Apollo as an enrichment source within agentic workflows and data enrichment configurations, enabling more comprehensive lead and account enrichment.

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Other Enhancements

Dimension & Metric Grouping

Dimension & Metric Grouping introduces structured organization of reporting elements, allowing teams to group related metrics and dimensions into logical categories. This simplifies navigation, improves dashboard clarity, and aligns reporting with business context.

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Upcoming Features

  • Global Filters – Apply filters across dashboards and reports for a unified analysis experience
  • Databricks Data Source – Enable ingestion from Databricks for expanded data unification
  • Google Search Console Insights – Surface trending queries and top-performing pages
  • Account Tags – Extend tagging capabilities for account-level segmentation and prioritization

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Curious How These Features Can Transform GTM Execution?

Request a personalized walkthrough with the RevSure team and see how these new capabilities can help you capture better signals, prioritize effectively, and execute with precision across your revenue engine.

No more random acts of marketing.

Pipeline & Revenue Predictions, Attribution and Funnel Intelligence in one place.
See a Demo
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