RedSage Labs
RedSage Labs
CRO & Analytics

User Behavior Analytics

You cannot optimize what you have not instrumented. Behavior analytics is the foundation every other improvement stands on.

User behavior analytics at RedSage means tracking designed around questions, not defaults: events that map to real user journeys, funnels that expose drop-off, cohorts that reveal retention truth, and analysis delivered as answers.

We implement the stack - tracking plan, event taxonomy, identity resolution, warehouse-ready data - and then we use it: recurring analysis that turns behavioral data into product and marketing decisions.

The Challenge

Most analytics setups are junk drawers: events named by whoever added them, half the funnel untracked, identity split across devices and sessions, and dashboards answering questions nobody is asking anymore.

The team learns to distrust the numbers - which is worse than having none, because decisions still get made, just blind and confident.

Our Approach

We design the tracking plan from your questions backward: what decisions need data, what events answer them, what properties give them meaning. Taxonomy is standardized, documented, and governed - the setup stays trustworthy as it grows.

Analysis is the product: funnels, cohorts, retention curves, and path analysis delivered on a cadence, each report ending in a recommendation. The dashboard is the byproduct; the answers are the deliverable.

Capabilities

Tracking plan design from business questions.

Event taxonomy standardized and governed.

Identity resolution across devices and sessions.

Funnel, cohort, and retention analysis.

Recurring insight delivery with recommendations.

Execution Process

01 //

Design

Tracking plan from your actual questions.

02 //

Implement

Events, identity, and QA shipped.

03 //

Analyze

Funnels and cohorts interpreted.

04 //

Advise

Recurring reports ending in decisions.

Business Outcomes

Numbers the team actually trusts

Drop-offs located precisely

Retention truth instead of anecdotes

A taxonomy that scales with the product

Analysis delivered, not DIY dashboards

Deliverables

Tracking plan and event taxonomy
Instrumentation implementation and QA
Identity resolution setup
Core funnel and cohort dashboards
Recurring analysis reports
Quarterly measurement review

Technologies

Product analytics (Amplitude, Mixpanel, PostHog)
Event collection (Segment, server-side GTM)
Identity resolution systems
Warehouse-native analytics
Cohort and retention modeling
Data quality monitoring
Dashboard and BI layers

Frequently Asked Questions

Both, usually - GA4 for acquisition, product analytics for behavior. They answer different questions; the mistake is asking either to do the other's job. We implement them to complement, not overlap.

Usually rebuild the plan, salvage the implementation: new taxonomy, migrated events, deprecated junk removed. You keep history where it is trustworthy and stop poisoning the future.

Governance is part of the build: naming standards, review for new events, and quality monitoring. We can run the ongoing analysis retainer or hand your team a system they can actually sustain.

User Behavior Analytics

Product and site behavior instrumented properly - events, funnels, cohorts, and answers instead of dashboards.

Instrument the behavior