Analytics Metrics & KPIs with Indian Benchmarks is a structured track of 13 lessons that build a complete, interview-ready understanding of the topic. Work through them in order, then use the quiz and flashcards in each lesson to revise.
What this course covers
- What Makes a Good Metric, and What Makes a Vanity Metric - The tests a metric must pass, applied to metrics teams commonly get wrong.
- The North Star Metric and the Counter-Metrics That Protect It - Choosing one metric that captures value, and the counter-metrics that stop it being gamed.
- Building a Metric Tree from Revenue Down to Drivers - Decomposing a top-line number into the drivers an analyst can actually investigate.
- Acquisition Metrics and Cost per Customer - Acquisition cost computed properly, including the costs teams leave out.
- Engagement & Activation Metrics That Predict Retention - Finding the activation event that correlates with staying, and measuring it.
- Retention, Churn & Repeat Purchase Metrics - Every churn definition, why they disagree, and choosing one deliberately.
- Revenue & Unit Economics Metrics for New-Age Businesses - Contribution margin, payback and burn, computed on a realistic order economics sheet.
- Funnel & Conversion Metrics, and Where They Mislead - Step conversion, drop-off and the denominator choices that flatter a funnel.
- Operational Metrics: Throughput, Utilisation & Service Levels - The operations metric set, with the trade-offs between speed, cost and reliability.
- Model & Statistical Metrics in One Reference Sheet - Every model metric with its formula and the range that counts as acceptable.
- Setting Targets: Benchmarks, Baselines & Realistic Goals - Moving from a baseline to a defensible target instead of a round number.
- Indian Sector Benchmarks for Analytics Metrics - Benchmark ranges by Indian sector, each with its source and reporting period stated.
- Case Study: Building a Metric Tree for a Subscription Business - A full metric tree built from revenue down to the levers a team can move.