What is software usage and how is it tracked?

TL;DR

• Software usage measures real interaction with applications, not just what’s installed. Installation counts consistently overstate the active estate.

• Five tracking methods cover the full estate: agent-based metering, agentless discovery, SaaS API integrations, cloud telemetry, and network monitoring. Combine them for complete visibility.

• Good tracking is continuous, cross-estate (SaaS, on-prem, cloud), and produces audit-ready records that hold up under vendor scrutiny.

• Usage data changes every conversation, from audits to renewals to budget reviews. Without it, you’re making decisions on assumptions.

Most organizations can tell you what software they’ve bought. Ask them what’s actually being used, and the room goes quiet. That gap between what’s deployed and what’s delivering value is where budget waste, audit exposure, and bad renewal decisions live, and it’s wider than most people expect.

Whether you’re staring down a vendor audit, heading into renewals without solid data, or trying to get a handle on SaaS sprawl, usage data is the foundation.

What software usage actually means

Software usage measures how, when, how often, and by whom employees actually use software across an organization. It captures real patterns of interaction: login frequency, session duration, feature adoption, and active versus idle time. 

Unlike inventory, which records what’s deployed, usage data tells you what’s actually earning its keep. Installation counts reflect what could be used, not what actually is. 

Three dimensions define meaningful usage data: 

• Who uses it. Named users, departments, cost centers. This connects license assignments to actual people and quickly reveals the licenses assigned to employees who left six months ago. 

• How often. An application opened once in 90 days is functionally unused. Most SAM tools define “active usage” as meaningful interaction within the last 30, 60, or 90 days. 

• Which features. Enterprise suites like Microsoft 365 and Adobe Creative Cloud include dozens of applications. Most users touch only two or three. Feature-level tracking lets you right-size to cheaper SKUs, and that’s where some of the biggest savings hide. 

The average company now runs 106 SaaS applications¹, and fewer than half of those employees regularly use. At that scale, gut instinct and spreadsheet-based tracking fall apart. 

Why installation data falls short 

Installation tells you what could be used. Only active usage tells you what employees actually use.

Here’s a scenario you’ve probably seen: 1,000 endpoints have a licensed application installed, but only 300 users actively open it. If procurement bases the renewal decision on installation count, the organization overpays by 70%. Multiply that across dozens of enterprise applications, and the waste adds up fast. 

The problem gets worse with enterprise suites. A full Microsoft 365 E5 license includes Teams, SharePoint, Power BI, Intune, and more. If most users only need email and Teams, suite-level tracking won’t show you the opportunity to downgrade to a cheaper plan. Feature-level usage will. 

Spreadsheets and manual surveys produce incomplete, often overstated data that becomes unreliable within weeks of collection. In an environment where organizations are adding six new SaaS applications every month², manual approaches can’t keep pace. 

Why tracking software usage matters

Without usage data, every cost decision, renewal negotiation, and audit response rests on assumptions.

Cost control

Organizations routinely waste 30-40% of their software budgets³ on licenses nobody uses. That waste compounds across hundreds of applications, and it comes back every renewal cycle until someone measures what’s actually in use. If your CFO has ever asked “why are we spending this much on software?” and no one had a good answer, that’s the problem usage data solves. 

Audit readiness

Software vendors audit a significant share of their customer base each year. Microsoft, Oracle, SAP, and IBM are among the most aggressive. When that audit letter lands, the organization that can produce active usage data showing actual consumption versus entitlement is in the strongest position. Without it, you’re negotiating from a defensive stance with incomplete records, and the vendor knows it.  

Our comprehensive guide to software license audits covers this in more detail. 

Renewal decisions. Renewal discussions without usage data favor the vendor every time. Procurement teams armed with hard numbers on actual consumption can right-size agreements, consolidate overlapping tools, and avoid auto-renewal traps. Walking into a renewal meeting with six months of usage data changes the entire conversation. 

SaaS sprawl. Industry analysts project the SAM market to grow from roughly $2.5 billion to $5.8 billion by 2029⁴, driven partly by the challenge of tracking an expanding SaaS estate. Structural visibility is a problem that grows every time someone signs up for a new tool with a corporate credit card. 

The real cost of not knowing 

Enterprises without usage data typically discover the waste only during painful audits or budget reviews, when the damage is already done and the options are limited. 

Audit exposure grows when organizations base usage records on deployment snapshots rather than continuous tracking. Vendors know the difference, and so do their auditors. If you’ve sat across the table from a vendor audit team armed with better data about your estate than you have, you understand why this matters. 

Renewal overspend follows naturally. Without a clear picture of who uses what, procurement defaults to renewing at current levels or higher, because cutting licenses without data feels riskier than overpaying. That cycle repeats year after year, and each renewal bakes the previous year’s waste into the new baseline. 

And with 4 out of 5 companies reporting employee software misuse⁵, the security dimension adds another layer of risk that only usage visibility can address. 

Five ways organizations track software usage

No single method covers every application type. Most mature SAM practices combine several approaches to get a complete view across SaaS, on-prem, and cloud. 

Agent-based tracking 

A lightweight software agent installed on endpoints collects data about which applications are launched, how long they run, and which features are accessed. Agent-based tracking is the most reliable method for measuring on-prem desktop software usage with precision. 

• Best for: Desktop applications, on-prem software, named-user license tracking. 

• Strengths: Granular, continuous data. Captures session duration, feature usage, and idle time. 

• Limitations: Requires deployment to every endpoint. Doesn’t cover SaaS or cloud-native applications. Can raise employee privacy questions if not communicated clearly, and getting ahead of those questions early saves you a difficult conversation with HR later. 

Agentless discovery 

Scans Active Directory, SCCM/Intune, or network traffic to identify installed software without deploying agents to endpoints. 

• Best for: Inventory and compliance audits. Quick initial software discovery across large estates. 

• Strengths: Low friction. No endpoint deployment required. Good for establishing a baseline inventory. 

• Limitations: Captures what’s installed, not what’s actually used. This is the critical distinction and the one that catches teams off guard during audits. Agentless discovery is valuable for inventory but insufficient for usage optimization. 

SaaS API integrations 

Connects directly to SaaS vendor APIs (Microsoft 365, Google Workspace, Salesforce, and others) to pull user activity and license assignment data. With the average enterprise running 100+ SaaS applications, API-based integrations have become essential for any serious SaaS management program. 

• Best for: SaaS license optimization, identifying underused subscriptions, and tracking shadow SaaS. 

• Strengths: Provides granular usage data: last login, feature usage, active time. No endpoint agent required. 

• Limitations: Coverage depends on which vendors offer APIs and how much data they expose. Not all SaaS applications provide usage-level telemetry and the ones that don’t are often the ones you most need visibility into. 

Cloud telemetry 

Cloud providers like AWS, Azure, and GCP emit usage telemetry that can be consumed for license compliance and optimization. 

• Best for: Hybrid environments combining cloud infrastructure with traditional licensing. BYOL (bring your own license) tracking, reserved instance utilization. 

• Strengths: Native integration with cloud platforms. Covers IaaS and PaaS consumption metrics. 

• Limitations: Focused on infrastructure-level usage. Doesn’t replace application-level metering for desktop or SaaS software. 

Network-level monitoring 

Monitors network traffic to identify application usage patterns and detect unapproved software. 

• Best for: Shadow IT detection. Identifying applications in use that don’t appear in official inventories. 

• Strengths: Can reveal applications that no other method catches, including unsanctioned SaaS tools employees access through the browser.

• Limitations: Encrypted traffic limits visibility. Works better as a complement to other methods than as a primary tracking approach. 

What good software usage tracking looks like

Checking a box on “we track usage” while relying on partial data and periodic snapshots still leaves blind spots. Here’s what separates effective tracking from the rest. 

Full estate coverage. SaaS, on-prem, and cloud in a single view. Most organizations run a mix of all three, and tracking that only covers one segment creates gaps that waste and risk hide in. 

Continuous measurement. A single snapshot tells you what happened on one day. Continuous tracking shows trends: who stopped using an application, whose usage is growing, and where licenses sit idle month after month. That’s the data that drives confident decisions, and that lets you walk into a renewal meeting with something better than “we think we need about the same as last year.” 

Audit-ready records. When a vendor audit arrives, the data needs to map actual consumption against entitlements. Metered, time-stamped usage records are the strongest audit defense available. 

Fast time to value. Enterprise SAM deployments shouldn’t take months of implementation before producing results. The best approaches connect to existing systems, run automated discovery, and start surfacing waste within days, not quarters. 

Data sovereignty. For organizations operating under GDPR or other data sovereignty requirements, the jurisdiction where usage data lives matters. Vendors that build and operate within the EU provide a clear compliance advantage over those subject to foreign legislation. 

The approach Xensam was built around

Rather than stitching together separate tools for SaaS, on-prem, and cloud, Xensam brings all three into a single view, tracking actual usage over time, not just installation status. It connects to your existing systems without a heavy implementation, and most customers start identifying waste within days.

Xensam built and operates the platform in Europe, so usage data stays under EU jurisdiction. For teams tired of entering renewals with incomplete data or scrambling before audits, that combination of speed, coverage, and control is what closes the gap between knowing what you’ve bought and knowing what employees actually use. 

Still relying on installation counts and spreadsheets to manage your software estate? Xensam gives you actual usage data across SaaS, on-prem, and cloud, so you can cut unused licenses, defend audits with real numbers, and walk into every renewal with the data to back your decisions. Book a demo and see what your software estate actually looks like. 

FAQ

What is the difference between software usage and software asset management? 

Software usage tracking is one component of a broader software asset management practice. SAM encompasses the full lifecycle: procurement, deployment, usage tracking, license optimization, compliance, and disposal. Usage data feeds into SAM by providing the factual basis for optimization and compliance decisions. You can do SAM without detailed usage data, but you can’t do it well. 

How often should software usage be measured? 

Continuously, if possible. Point-in-time snapshots go stale quickly, especially in environments where new SaaS applications appear every month. Continuous metering provides the trend data needed for confident renewal and optimization decisions. At minimum, measure usage monthly, but daily or real-time metering delivers significantly better outcomes. 

Does software usage tracking raise privacy concerns? 

It can, if the implementation focuses on individual employee monitoring rather than license optimization. The distinction matters. SAM-focused usage tracking measures application activity at the license level: which applications are used, how often, and by which cost center. It’s not about watching what individuals do minute-by-minute. Clear internal communication about the purpose and scope of usage tracking reduces friction and supports compliance with privacy regulations like GDPR. 

What is shelfware? 

Shelfware refers to software that has been purchased and licensed but sits unused. It’s the direct result of buying based on estimates or vendor recommendations rather than actual usage data. Shelfware is one of the largest sources of avoidable software cost, and it comes back every renewal cycle unless you track usage and right-size your agreements.