This presentation was given to startup founders and software people to help them understand how to better measure the success (or failure) of their product by using objective data.
10. The 5 Common Business Objectives
★ Ecommerce - sell products/services
★ Lead Generation - collect user info & connect
★ Content - engagement & visits
★ Online Support - finding info at the right time
★ Branding - awareness, engagement & loyalty
11. Practical Guidelines
● Include macro and micro conversions
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● Distill customer-problem-solution hypothesis
● Find the riskiest assumptions
17. Data Types
● Dimensions - characteristics of your users, their
sessions and actions (e.g. country, traffic source).
● Metrics - the quantitative measurements of
users, sessions and actions.
22. Practical Guidelines
● Build an infrastructure
○ maintain data integrity
○ easily measure new features
○ keep consistent syntax
● Setup goals in your analytics tool (!)
24. AARRR!
1) Acquisition - users come from various channels
2) Activation - users enjoy first visit
3) Retention - users come back
4) Referral - users like product and refer others
5) Revenue - users conduct monetization behavior
25. Analysis Techniques
● Segmentation - isolate and analyze data subsets
to understand behavior (by location, source).
● Context - use benchmarks to understand if your
performance is good or bad (internal / external).
● Exploration - browse your data to find your next
questions (landing/exit pages, bounce rates).