Your product ships features but you cannot see how users actually behave.Tracking live today.

Unreliable analytics data is almost always caused by one of three problems: inconsistent event naming (the same action tracked with different event names in different parts of the product), missing user identity (events not associated with a user ID so you cannot track individual journeys), or client-side tracking gaps (events only fired from frontend code so server-side actions like subscriptions or payments are missed). The specialist audits your existing tracking implementation, identifies every gap and inconsistency, rebuilds the event taxonomy with a consistent naming convention, and implements server-side tracking for critical conversion events. You receive an updated tracking plan document as the source of truth going forward.

A well-structured SaaS tracking implementation covers the full user lifecycle: acquisition (signup source, referrer, first-touch campaign), activation (first key action that predicts retention — varies by product but typically creating first project, inviting a team member, or completing setup), engagement (frequency and depth of core feature usage), retention (return visits, cohort retention curves), monetisation (plan upgrades, expansion revenue triggers), and referral (NPS survey responses, share actions, invite sends). The specialist designs your event taxonomy around these lifecycle stages and connects the events to the product metrics your team actually reviews.

Yes. The specialist is matched based on the specific analytics tools in your stack. For Segment, the specialist sets up sources, destinations, and the event schema so data flows correctly to all downstream tools. For Mixpanel or Amplitude, the specialist implements event tracking, user identification, group analytics for B2B products, and the core reports and dashboards your team needs. For PostHog, the specialist configures event autocapture versus custom events, feature flags, and session recordings. For Google Analytics 4, the specialist sets up GA4 properly — including the event model, conversions, and custom dimensions that GA4 requires compared to Universal Analytics.

A useful retention dashboard starts with defining what "retained" means for your product — the specific action or visit frequency that predicts a user will not churn. The specialist builds cohort retention charts (N-day retention by signup week), feature retention analysis (which features are used by retained users versus churned users), and leading indicators (early signals that a user is trending toward churn before they actually leave). The dashboard is built in your existing analytics tool or BI tool (Looker, Metabase, Tableau) with filters for segment, plan, acquisition channel, and geography so your team can slice the data without needing SQL.

Product analytics focuses on in-product behaviour — what users do inside your application, which features they use, where they drop off, what predicts retention and expansion. Marketing analytics focuses on acquisition — where users come from, which campaigns drive signups, cost-per-acquisition by channel. Both are implemented by QuickHire specialists, but the tools and tracking scope differ: product analytics typically uses Mixpanel, Amplitude, or PostHog and tracks authenticated user actions inside your app; marketing analytics uses Google Analytics, Facebook Pixel, or conversion APIs to track the pre-signup journey. The specialist implements whichever layer you are missing or connects both into a unified view.