Glossary

What is Usage Analytics?

Tracking and analysing how users interact with a product — which features they use, how frequently, in what patterns — to inform product decisions, customer success, and growth strategy.

In Depth

Understanding the Details

Usage analytics provides the data layer that product-led growth depends on. By tracking feature adoption, session patterns, workflow completion, and engagement depth, teams understand how customers actually use the product versus how they're intended to use it. This data informs product development (which features drive retention?), customer success (which accounts are at risk?), marketing (which features should we promote?), and pricing (which features justify premium tiers?). Tools like Amplitude, Mixpanel, and PostHog specialise in product analytics, offering event tracking, funnel analysis, retention curves, and user segmentation. The key is tracking the right events — those that correlate with business outcomes like retention and expansion.

Examples

How It Works in Practice

Feature adoption tracking

Usage analytics shows only 15% of users have discovered the reporting feature, despite it being the strongest predictor of retention.

Health scoring

Product usage data feeds account health scores: active daily users, feature breadth, and data volume indicate engagement levels.

Pricing validation

Usage patterns reveal that enterprise customers primarily use 3 specific features, validating their inclusion in the enterprise tier.

Importance

Why It Matters

Understanding product usage is essential for data-driven decisions about what to build, how to onboard, and where to invest in customer success.

Misconceptions

What People Often Get Wrong

Page views and logins are sufficient usage metrics. Actually, meaningful usage analytics tracks specific actions that correlate with value and retention.

Usage analytics is only for product teams. Actually, marketing, sales, and success teams all benefit from understanding how customers use the product.

You need to track everything. Actually, tracking too many events creates noise. Focus on events tied to business outcomes.

Our Approach

How We Handle Usage Analytics

We implement usage analytics focused on events that predict retention and expansion, connecting product data to business outcomes across the customer lifecycle.

FAQ

Common Questions

Need Help With Usage Analytics?

If you'd like to discuss how usage analytics applies to your business, we're happy to explain further.