Conduct a comprehensive audit of Galaxy's current GTM processes, tool integrations, and lead lifecycle handoffs to design a unified automation strategy. This includes mapping existing touchpoints across marketing, sales, and customer success, and identifying automation gaps that hinder smooth transitions.

Deploy an automated data enrichment workflow to continuously update CRM and marketing databases with accurate firmographic, technographic, and behavioral data. Integrate enrichment triggers into existing SaaS martech tools to ensure campaign measurement and lead attribution are always based on high-quality, up-to-date information.

Improving data quality and attribution can increase campaign effectiveness by 20% (based on industry benchmarks) and reduce time spent on manual data research by 80%, saving approximately 4 hours per week for each marketing/growth operator.

Implement a system that auto-generates pipeline health snapshots and forecast accuracy reports using data consolidated from your CRM and marketing stack. Set up standardized reporting dashboards and automate risk flagging for pipeline hygiene across all GTM stages.

Consistent, automated reporting improves forecasting reliability and pipeline visibility, leading to a projected 5% improvement in win rates and saving 2–3 hours per week previously spent on manual spreadsheet work and ad hoc reporting.