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Case StudySep 1, 2025·10 min read

AI CRM Migration

A B2B SaaS team tripled engagement by migrating CRM data, layering ML scoring, and orchestrating AI-assisted nurture journeys.

By Marsala Research·
#B2B SaaS#CRM#AI Automation

ETL process, ID reconciliation, segmentation strategy, and AI playbooks for revenue teams operating at scale.

Key Metrics

  • 3× engagement
  • -35% response time
  • Unified pipeline dashboard

Migration Strategy

Legacy Salesforce and HubSpot instances were consolidated into a single RevOps blueprint. We ran parallel ETL pipelines with Airbyte and validated IDs via deterministic + fuzzy matching.

AI-Powered Journeys

Lightweight ML models scored accounts based on intent signals from product usage, marketing engagement, and support tickets.

  • Copilot-generated outreach templates aligned to personas and buying stage.
  • Automated enrichment and deduplication to keep records clean.
  • Revenue dashboard covering MQL → SQL → Closed Won in real time.

Outcomes

Post-migration, the revenue team saw tighter collaboration and faster cycles, while leadership gained visibility into pipeline health.

  • 3× engagement lift in key nurture journeys.
  • -35% reduction in time-to-first-response for inbound leads.
  • Single source of truth dashboards accessible to marketing, sales, and success.

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