playbook

SaaS Sprawl and License Optimization in M&A: The Hidden Margin Driver

The average company wastes 23% of SaaS spend on unused licenses. In M&A, duplicate SaaS across two companies is pure optimization opportunity. Here's how to find it.

Luna ·
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SaaS waste is the most underappreciated cost reduction opportunity in post-merger integration. The average mid-size company wastes 23% of its SaaS spend on licenses that are allocated but not used. After an M&A, where two companies with duplicate SaaS stacks are combined, that number can go higher.

A common finding in post-merger ACQI scans: Company A uses Salesforce. Company B uses Salesforce. Company A has 45 Salesforce licenses for 30 users. Company B has 22 Salesforce licenses for 19 users. Combined, 67 licenses for 49 users — a 37% over-license situation that costs $15,000/year in pure waste.

This is the lowest-effort, highest-return integration synergy.

The Three SaaS Waste Categories in M&A

Category 1: Over-Licensed Applications

How it happens: License allocation done at hiring rather than at user provisioning. When employees leave, their SaaS licenses aren’t reclaimed. Over 3 years, the average company accumulates 15-25% over-allocation of SaaS licenses.

How to find it: ACQI’s SaaS discovery module correlates active SaaS users with the licensed seat count. For each SaaS application, it reports: seats allocated vs. seats actively used (based on observed authentication events over 90 days).

The integration opportunity: Combine both companies’ usage data. Eliminate duplicates. The consolidated license count is typically 30-40% lower than the sum of the two original license allocations.

Category 2: Duplicate Applications

How it happens: Company A uses Dropbox for file sharing. Company B uses Box. Both are paying for enterprise plans. After the merger, one of them gets cancelled and the users are migrated to the survivor’s platform.

How to find it: ACQI’s SaaS discovery identifies all file sharing and collaboration applications in both companies. The full duplicate list requires matching by function:

  • CRM: Salesforce vs. HubSpot vs. Dynamics
  • Marketing automation: Marketo vs. Mailchimp vs. HubSpot
  • Cloud storage: Dropbox vs. Box vs. Google Drive vs. OneDrive
  • Project management: Asana vs. Monday vs. Jira vs. Trello
  • Design: Figma vs. Sketch vs. Adobe Creative Cloud

The integration decision: Which platform wins? The answer is usually the one with more active users at close. But not always — sometimes the acquired company’s platform has a better feature set for a specific use case. This requires a 2-week functional review by the user teams.

The integration savings: For each duplicate application eliminated, the savings are:

  • License savings: 100% of the eliminated application’s annual license cost
  • Migration labor: Typically 1-2 weeks of work for the IT team
  • User retraining: 4-8 hours per user

Category 3: Shadow IT

How it happens: Departments and teams buy SaaS tools with credit cards, without going through IT procurement. These never appear in the official SaaS inventory. After the merger, there’s no record of them in either company’s books.

How to find it: ACQI’s network-based SaaS discovery observes all authenticated SaaS traffic in the companies’ networks — including tools that were never submitted to IT. It’s common to find 30-40% of the actual SaaS footprint is shadow IT.

The finding: A 500-person company discovered 47 SaaS applications being used. 14 of them were shadow IT. Three of the shadow IT tools were processing customer data (a project management tool, a proposal generation tool, and a financial analytics tool). None had DPAs. All three needed to be either brought under corporate procurement or retired.

The GDPR risk: Shadow IT processing personal data without a DPA is a GDPR Article 28 violation. The fine can be up to 2% of global annual revenue. This cost needs to be in the deal model for any company in an EU-regulated industry.

The SaaS License Optimization Playbook

Step 1: Full Inventory (ACQI SaaS scan)

Run ACQI’s SaaS discovery module across both companies’ networks simultaneously. Output: a complete inventory of all SaaS applications in both companies, including usage frequency, user count, and license allocation.

Step 2: Duplicate Identification

Match SaaS applications by function (CRM, marketing, file sharing, project management, etc.). For each functional category, identify the top 2-3 applications and calculate the combined license count vs. the actual user count.

Step 3: Consolidation Decision

For each duplicate pair or group:

  • Which platform has more active users?
  • Which platform has better feature coverage for the combined use case?
  • Is there a contractual early termination fee for the application being cancelled?

Step 4: Migration Planning

For each application being migrated off or cancelled:

  • Identify all users who need to be migrated or deprovisioned
  • Set a migration deadline (typically 30-60 days post-close)
  • Run user training on the survivor platform
  • Execute deprovisioning: cancel licenses, export data, close accounts

Step 5: Ongoing Governance

Post-integration, implement a SaaS governance program:

  • Require IT approval for all new SaaS purchases (even free tier)
  • Run quarterly license utilization reviews
  • Use ACQI’s continuous SaaS monitoring to detect new SaaS applications as they appear

The Numbers

For a $200M revenue company with 1,000 employees, typical SaaS spend is $1.2M-$1.8M/year. The optimization opportunity from a merger:

  • License deduplication: 20-30% savings on the combined SaaS bill
  • Shadow IT elimination: 5-10% savings from retiring unused applications
  • Volume consolidation: Negotiate consolidated pricing for the merged entity

For a $200M company, SaaS optimization typically yields $300K-$600K in annual savings. That’s a real synergy number that belongs in the deal model.

Running an integration right now?

The research is clear: discovery-first integrations deliver on time. ACQI has the modules to get you there in weeks, not months.