More Revenue Operations resources

Demo on Demand

Use Case: Agent-Powered Account Scoring & Deduplication

See how agentic scoring and data normalization make Salesforce account dedupe accurate, explainable, and sustainable at scale.

Playbook

GTM Playbooks: Rebuilding Trust and Data Across Revenue Teams

How do you make your data layer trustworthy enough to build AI on? Revenue Architects from Fivetran, GitHub, and Inchcape Shipping Services share field-tested playbooks for fixing CRM data, rebuilding trust across teams, and putting Data Agents to work in Salesforce.

A stylized image showing the different Data Agents

How Data Agents Fix the Salesforce Data Layer

A Data Agent improves the data inside Salesforce before your AI agents act on it. See what a Data Agent is, what it does, and where it fits.

Blog

Traction Complete Launches Data Agents To Help Businesses Confidently Go Agentic

Traction Complete is unveiling Data Agents that steward and improve the data layer every business, agent, and decision relies on.

Co-Lab: The New Revenue Data Architecture — How to Rebuild Trust in Your Data Layer

Learn how RevOps teams are rebuilding the data layer for the AI era: source of truth, data quality, governance, and AI readiness.

An image showing on the left, scattered account hierarchy data flagged with warnings; on the right, a clean account hierarchy connected under one parent company.

Account Hierarchy Data: Why More Won’t Fix Your Hierarchy

Account hierarchy data is not an account hierarchy, and owning the first does not get you the second. Hierarchy data is what providers sell: parent...
salesforce data layer

How to rebuild trust in your Salesforce data layer

Every AI agent, dashboard, and routing rule reads from your Salesforce data layer. Here’s what it is, why it breaks, and how to rebuild trust.

Stylized representation of a lead routing flow.

Lead Routing: 10 Examples, Best Practices, and Automation Hacks

Optimize your lead routing with these examples and best practices. Discover how automation improves your routing efficiency and conversions.
Diagram contrasting the GTM Architect role (top, with green icons for scale, vision, and targeting) and the GTM Engineer role (bottom, with orange icons for speed, automation, and execution) on a connected data-infrastructure grid.

The GTM Engineer Needs a Revenue Architect. Here’s Why

A GTM Engineer’s plays only work if the data architecture underneath holds. Here’s why RevOps is evolving into the GTM Architect to build it.

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