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Data Collaboration Platform

Why Lifecycle Marketing Matters Now

Client
Data collaboration platform company
Sector
Enterprise Software / AdTech & Data
Offering
Marketing Automation Re-Architecture
Your competitive advantages
16% reduction in lead leakage after rebuilding the lifecycle engine
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Data Collaboration Platform

Client Background & Challenge 

A data collaboration platform company engaged NVISH because its Marketo instance was working as a campaign tool rather than a lifecycle engine tied to pipeline. The platform’s architecture didn’t reflect lead lifecycle stages, and lead scoring and segmentation were inconsistent. Attribution visibility was limited and campaign workflows were largely manual. Leads were slipping between marketing and sales, and pipeline forecasting was unreliable.

Client Objectives 

  • Rebuild marketing automation around lead lifecycle stages
  • Improve lead scoring, segmentation and lead-to-MQL conversion
  • Ensure consistent data flow between marketing automation and CRM
  • Establish attribution reporting to guide investment

NVISH Approach 

NVISH rebuilt the marketing automation platform as a lifecycle engine connected to pipeline outcomes: 

  • Re-architected Marketo around lead scoring and lifecycle stages
  • Re-architected Marketo around lead scoring and lifecycle stages
  • Integrated Marketo with CRM for consistent, bidirectional data flow
  • Stood up attribution reporting for ongoing optimization

The goal was pipeline predictability, not campaign volume.

Measurable Results 

  • 18% improvement in lead-to-MQL conversion
  • 16% reduction in lead leakage
  • 22% increase in email engagement
  • 20% increase in campaign efficiency