Analyticsv1.0.0

A B2B SaaS company wants to identify the one metric that best captures its product's value. The analytics specialist guides them to choose 'weekly active users performing the core action' and align the team around it, ensuring it reflects customer value and is a leading indicator.

An e-commerce startup needs to track the full customer lifecycle using the AARRR framework. The specialist helps them define acquisition channels, activation (purchase completion), retention (repeat purchases), revenue (order value), and referrals, creating actionable dashboards to monitor growth.

A mobile app company wants to understand user retention across cohorts. The specialist sets up cohort tables and retention curves using event tracking (e.g., user_signed_up, core_action_performed) and helps interpret the data to improve user engagement and reduce churn.

A startup decides to use PostHog for privacy-friendly analytics. The specialist writing code snippets for event tracking, user identification, and integrates PostHog, emphasizing a clean tracking plan to avoid bad data.

A subscription-based business needs to compute LTV and CAC to evaluate unit economics. The specialist uses formulas like LTV = ARPU / Churn Rate and CAC = acquisition spend / new customers, and guides the team toward a healthy LTV:CAC ratio (>3:1).

Companies that sell connected hardware with recurring subscription revenue. Apply analytics to track device activation, usage frequency, and subscription renewals, using the hardware usage as a north star metric.

Companies offering cloud platform services with usage-based pricing. Focus on tracking deployments, API calls, or compute usage, and use metrics like 'deployments per week' as a north star. Monitor churn and expansion revenue.

Companies offering a free tier with paid upgrades. Use analytics to track activation (first value), conversion from free to paid, and retention by plan. A key metric is free-to-paid conversion rate and time to convert.