See how agentic scoring and data normalization make Salesforce account dedupe accurate, explainable, and sustainable at scale.
Popular Revenue Operations reads
Webinar
Zero Margin for Error: 10 Data Quality Requirements for AI
Get the 10 data quality requirements to meet before an AI agent touches your Salesforce data. Watch the Dreamforce session with Traction Complete and Snap Inc.

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.
More Revenue Operations resources


How Forma Cut Lead Response Time From Hours to Minutes
Lead response time at Forma dropped from hours to minutes after automating lead routing and deduplication in Salesforce with Traction Complete.

Report
AI for Revenue Leaders 2026 Report
Only 5% of revenue leaders can prove AI’s impact on revenue. Get the 2026 report and a 90-day plan to close the gap.

0 Margin for Error: 10 Data Quality Requirements for AI
The 10 data quality requirements for AI that Snap Inc. and Traction Complete presented at Dreamforce 2026, and how to run each one inside Salesforce.

3 Ways RevOps Teams Keep Salesforce Data Stewardship Ahead of Their Agents
Discover how RevOps teams run Salesforce data stewardship for AI: 3 plays from Fivetran, GitHub, and Inchcape, plus the problems they solve.

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