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

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.

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.

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Use Case: Why It’s Time to Replace LeanData (and How to Do It Right)
See how replacing LeanData can be your opportunity to streamline processes and elevate your GTM capabilities—well beyond lead routing.
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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

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.

Lead Routing Is Broken: How Marketing Ops Teams Are Re-Architecting Lead Flow
MOps teams are rethinking lead routing with AI. Learn what works, where it helps, and why clean data still matters.

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Use Case: How AI is changing data quality for revenue teams

Demo on Demand
Use Case: AI-enriched account hierarchies: Model how you actually sell

AI + Account Data: the Use Cases Ops Can’t Ignore
Explore how ops teams use AI to turn Account data into actionable insights. Hear practical tips and real-world use cases.

Demo on Demand
Use Case: The last mile of GTM strategy: Territory execution
See how territory execution in Salesforce automates assignments and transfers so your GTM plans actually get used.

SHIFT Day 3: Architects of scale: Winning with a solid AI data strategy
Watch this on-demand session to see how AI can map complex account relationships, enrich parent-child connections, and build hierarchies on the signals that actually drive results.