See how agentic scoring and data normalization make Salesforce account dedupe accurate, explainable, and sustainable at scale.
Popular Revenue Operations reads
Why CROs think their data is clean (and RevOps knows it isn’t)
Explore why CROs and RevOps disagree on CRM data quality and how to fix it. Hear key insights and practical tips from the 2025 survey.
How Archer's RevOps team reduces manual work by 95% with Traction Complete
Archer needed to automate how the team distributed leads and accounts to reps and needed a solution that could scale with their business.
Demo on Demand
Use Case: Your first step with AI: Discover before you automate
See how RevOps teams can explore AI safely, validate data, and move to automation with confidence.
More Revenue Operations resources
Guide
12 Agentic Data Plays for RevOps
Learn how RevOps teams use Data Agents in Salesforce to validate and standardize records, enrich accounts, and route leads with real-time context.
How to Audit a Salesforce Account Hierarchy that Passes Validation
How to audit an existing account hierarchy in Salesforce: five checks, SOQL queries to run them, and how often to keep your trees current.
Playbook
The L2O Playbook: Fix the funnel, trust the data
How to rebuild a broken funnel’s data layer across five pillars, so AI, reporting, and attribution can finally be trusted.
Webinar
Co-Lab: Fix the Data, Trust the AI
AI can’t fix broken data — it scales the mess. Learn how to rebuild your data layer for stronger attribution and handoffs.
Demo on Demand
Use Case: Agent-Powered Account Scoring & Deduplication
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.
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.
Webinar
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.
