Rupert

Rupert is a GenAI, no-code signal-to-playbook solution for GTM teams looking to transition to a one-to-many, proactive operation. Rupert enables the distribution of predictive, timely, personalized, and actionable account-level signals for top of funnel, conversion, and upsell opportunities, churn risks, and user activation issues.

Its core technology allows it to be the most advanced and the first data warehouse-native monitoring and alerting solution for downstream use cases. It utilizes proprietary semantic classification, signal enrichment, anomaly detection, root cause analysis capabilities, and more.

As the only data warehouse-native signal-to-playbook solution, Rupert allows its customers to easily predict and track in real time signals across the entire customer 360 data–product usage, CRM, support, financial data, and more.

With strong integrations with operational GTM tools (e.g. Salesforce, Outreach, etc.), Rupert enables teams to capitalize on these personalized signals with signal-triggered playbooks–think “Workato/Zapier on top of signals.”

By working Rupert’s predictive signals and playbooks, GTM teams can replace the failing dependency on the lagging, over-aggregated health scores to prioritize lead/customer engagements and tasks.

GTM leadership and ops teams get full visibility into how SDRs/AMs/CSMs/etc are following, executing, and capitalizing on their signals and playbooks. This allows them to easily experiment and find the signals and playbooks that best impact ToFu, New ARR, Expansion, and Retention KPIs, as well as better manage their proactive GTM teams.

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