Automate the collection and enrichment of buying committee contacts for every opportunity, ensuring multi-threaded mapping by pulling real-time data from LinkedIn, CRM (Salesforce/HubSpot), and third-party sources. This workflow enables instant identification and continuous tracking of all key stakeholders across EMEA and US regions.

Continuously update Salesforce and HubSpot records with AI-enriched data points (job changes, new stakeholders, engagement signals) and enforce attribution accuracy for multi-region, multi-tool GTM environments. Automated workflows detect and flag data gaps or risks in pipeline hygiene, ensuring accurate forecasting.

Improves CRM data quality and attribution, reducing manual data cleaning by 60% and boosting forecast accuracy. Enables clean, real-time pipeline visibility and 10–15% more accurate win/loss analysis, critical for scaling enterprise sales.

Before every customer call, deliver auto-generated, up-to-date reports on all opportunity stakeholders, recent activities, and deal risk alerts—integrating BuyerRadar’s AI deal insights within existing RevOps workflows. Syncs with Salesforce/HubSpot and surfaces actionable next steps for true multi-threaded engagement.

Saves AEs 2–3 hours/week in prep time, increases pre-call context, and has shown to lift close rates by 8–12% in complex cycles by ensuring every touchpoint is relevant and multi-threaded. Directly enables faster, higher-quality enterprise sales execution.