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RevOps

Untangling the Tech Stack: A Post-Acquisition Integration

How RevOps unified two companies' systems without losing data or sanity

Company

B2B SaaS

Size

400 employees (combined), $60M ARR

Stage

Post-Acquisition

Timeline

Full integration completed in 6 months

The Challenge

After acquiring a competitor, the company had two of everything: two CRMs, two MAPs, two billing systems. Revenue teams couldn't see the full picture.

Symptoms

  • Sales reps working from two different CRMs
  • Customers appearing as prospects in the acquired company's system
  • No unified view of customer across product lines
  • Finance manually reconciling revenue from two billing systems
  • Support couldn't see full customer history

Root Causes

  • Acquisition integration was deprioritized for 'later'
  • No pre-acquisition due diligence on systems compatibility
  • Both companies had different data models and definitions
  • No dedicated integration team or budget
  • Fear of breaking things kept systems siloed

Impact

Cross-sell was impossible. Customer experience suffered. Reps spent hours reconciling data. The acquisition wasn't delivering expected synergies.

The Diagnosis

Mapped both tech stacks, identified data overlap, and designed a phased migration plan that prioritized customer-facing impact.

Key Findings

  • 1.30% of acquired company's customers were also customers of parent
  • 2.Duplicate contact records numbered over 50,000
  • 3.Field mappings between systems had 60% overlap, 40% unique
  • 4.Acquired company had superior lead scoring model
  • 5.Parent company had better billing and revenue recognition

Maturity Score Changes

Technology & Integration
24
Data Foundation
24
Process & Workflow
24

The Solution

Strategy: Migrate to best-of-breed from both systems, with a single CRM as the foundation. Move fast but don't break customer experience.

Phase 1: Foundation & Mapping

45 days
  • Chose parent CRM as target (larger, more customized)
  • Mapped all fields from acquired system to target
  • Identified and tagged duplicate records
  • Created unified object model with combined fields
  • Built staging environment for migration testing

Phase 2: Data Migration

60 days
  • Migrated accounts first, with duplicate resolution
  • Migrated contacts with parent record linking
  • Migrated opportunities with stage mapping
  • Migrated historical activities for context
  • Validated data quality post-migration

Phase 3: Process Unification

45 days
  • Unified sales stages across both teams
  • Adopted acquired company's lead scoring (superior)
  • Consolidated to single marketing automation platform
  • Built unified reporting across combined data
  • Trained all reps on single system

Phase 4: Advanced Integration

30 days
  • Integrated billing systems with CRM
  • Built customer 360 view across all products
  • Implemented cross-sell triggers and alerts
  • Created combined forecasting model
  • Decommissioned legacy systems
Tools & Artifacts:Data Migration ToolDuplicate Resolution RulesField Mapping DocumentationIntegration Middleware

The Results

Systems Maintained

84

50% reduction

Duplicate Records

50,000+0

Clean data

Cross-Sell Pipeline

$0$4M

New opportunity

Time to Quote

48 hours4 hours

92% faster

Qualitative Outcomes

  • Reps finally had single view of customer
  • Finance had unified revenue reporting
  • Support could see complete customer history
  • Acquisition synergies began materializing

Key Lessons

  1. 1Plan for integration before the acquisition closes
  2. 2Best-of-breed means picking winners from both sides
  3. 3Data migration is 80% mapping, 20% moving
  4. 4Decommission legacy systems fast - they rot quickly
  5. 5Unified data unlocks cross-sell immediately

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